@article{chen2026dprpediatric,
title={Deep progressive reconstruction for low-dose 18F-FDG PET/CT imaging in pediatric patients},
author={Chen, Yanqiong and Zhang, Di and Zhang, Shuming and Li, Jiong and Wang, Xiaoxia},
journal={Annals of Nuclear Medicine},
year={Just Accepted},
doi={10.1007/s12149-026-02305-x},
pmid={42986492},
institution={Shanghai Children's Medical Center},
keywords={pediatrics; DPR; low dose; reconstruction}
}
@article{wang2026nlrprognosis,
title={Prognostic value of integrated dynamic NLR and [18F]FDG-PET/CT parameters in resectable non-small cell lung cancer treated with neoadjuvant immunotherapy plus chemotherapy},
author={Wang, Siyun and Yang, Fan and Lu, Kaiyu and Zhu, Haoyu and Cheng, You and Shao, Dan},
journal={Annals of Nuclear Medicine},
year={Just Accepted},
doi={10.1007/s12149-026-02308-8},
pmid={42986491},
institution={Guangdong People's Hospital},
keywords={lung cancer; immune}
}
@article{sun2026her2affibody,
title={Evaluation of dynamic total-body [68Ga]Ga-HER2 affibody PET/CT in HER2-positive breast cancer: Biodistribution, dosimetry and earliest feasible imaging time},
author={Sun, Yuhan and Zhao, Jianqiang and Fu, Qiang and Zhao, Yan and Chen, Xiaolin and Chen, Xiaoshan and Pang, Xiao and Wang, Mengjiao and Wang, Tingting and Liu, Yunuan and Zhao, Xinming},
journal={EJNMMI Research},
year={Just Accepted},
doi={10.1186/s13550-026-01538-1},
institution={Fourth Hospital of Hebei Medical University},
keywords={HER2; affibody; breast cancer; dosimetry; dynamic acquisition}
}
@article{han2026bsa,
title={Determining body surface area using long-axial field-of-view total-body PET: A novel method without additional radiation exposure},
author={Han, Chunlei and Huang, Wenshan and Yu, Jiequn and Xie, Nawa and Xu, Jiehua},
journal={iRadiology},
volume={4},
number={5},
pages={393--400},
year={2026},
doi={10.1002/ird3.70105},
institution={Turku PET Centre; Zhuhai People's Hospital},
keywords={segmentation; body surface area; phantom}
}
@article{wu2026mk6240dosimetry,
title={全身PET/CT动态显像评估18F-MK6240在中国健康成年人中的生物分布及辐射剂量},
author={吴世娜 and 张萌萌 and 曹振 and 徐晓丹 and 张晓军 and 姚树林 and 王瑞民 and 刘家金},
journal={国际放射医学核医学杂志},
year={Just Accepted},
doi={10.3760/cma.j.cn121381-202604002-00653},
institution={PLA General Hospital},
keywords={18F-MK6240; Alzheimer's disease; dosimetry; dynamic acquisition}
}
@article{huang2026APPDL1p,
title={Rational design, synthesis, and evaluation of a novel PET tracer targeting programmed death-ligand 1: From bench to bedside},
author={Huang, Jiawen and Bai, Lu and Chen, Yang and Liu, Yi and Chen, Keyin and Wang, Peng and Wang, Fanghu and Fu, Lilan and Zhang, Xiaojun and Jiang, Lei and Tang, Ganghua},
journal={Molecular Pharmaceutics},
year={Just Accepted},
doi={10.1021/acs.molpharmaceut.6c00857},
institution={Nanfang Hospital; Guangdong People's Hospital},
keywords={[68Ga]Ga-AP-PDL1p; PD-L1; lung cancer; peptide; novel tracer}
}
@article{zhang2026fapipca,
title={A head-to-head comparison of detection rate and tumor uptake of FAPI, PSMA, and FDG PET/CT in newly diagnosed high-risk prostate cancer},
author={Zhang, Wei and Dong, Yanhao and Xu, Lian and Liao, Penghui and Du, Xinxing and Hu, Cong and Peng, Zehong and Lai, Lihan and Zheng, Zhicheng and Pan, Jiahua and Zhu, Yinjie and Liu, Jianjun and Chen, Ruohua and Dong, Liang and Xue, Wei},
journal={Clinical Nuclear Medicine},
volume={51},
number={12},
pages={1067--1077},
year={2026},
doi={10.1097/RLU.0000000000006690},
pmid={42912579},
institution={Renji Hospital},
keywords={[18F]AlF-NOTA-De-FAPI; PSMA; prostate cancer; novel tracer}
}
@article{azimi2026radiomics,
title={Impact of dose reduction and multi-parametric harmonization on multi-organ radiomics robustness in total-body PET imaging: Methodological implications for quantitative theranostics},
author={Azimi, Mohammad Saber and Cheraghi, Maryam and Zaidi, Habib},
journal={Medical Physics},
volume={53},
number={11},
pages={e70731},
year={2026},
doi={10.1002/mp.70731},
pmid={42922149},
institution={Geneva University Hospital; Ruijin Hospital; University of Bern},
keywords={radiomics; harmonization; low dose; deep learning}
}
@article{song2026fapman,
title={Design and biological evaluation of FAP-Man, a mannosylated FAP-targeted radioglycopeptide for tumor imaging and radionuclide therapy},
author={Song, Miaomiao and Liu, Entao and Cao, Rui and Sun, Luming and Wang, Peng and Duan, Shuang and Tao, Ji and Qiu, Long and Du, Jin and Liu, Ning and Li, Feize and Qu, Chunrong and Jiang, Lei and Cheng, Zhen},
journal={Journal of Medicinal Chemistry},
volume={69},
number={21},
pages={26425--26435},
year={2026},
doi={10.1021/acs.jmedchem.6c02436},
institution={Shanghai Institute of Materia Medica, CAS; Guangdong People's Hospital},
keywords={[68Ga]Ga-FAP-Man; FAPI; liver tumor; novel tracer}
}
@article{wang2026ventricular,
title={Multimodal comparison of left ventricular function and volume assessment methods in patients with coronary artery disease: echocardiography, nuclear myocardial perfusion imaging, and cardiac magnetic resonance},
author={Wang, Fanghu and Zhang, Xiaochun and Liu, Entao and Yao, Xinchao and Xiang, Zeyin and Yuan, Hui and Jiang, Lei},
journal={iRadiology},
volume={4},
number={5},
pages={401--411},
year={2026},
doi={10.1002/ird3.70101},
institution={Guangdong People's Hospital},
keywords={cardiovascular; ammonia; perfusion; gating}
}
@article{wagenknecht2026futurePET,
title={Technological developments for future PET systems},
author={Wagenknecht, Gudrun and Arutinov, David and Grewing, Christian and Vandenberghe, Stefaan and Lecoq, Paul and D'Ascenzo, Nicola and Brockherde, Werner and Lerche, Christoph},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
year={Just Accepted},
doi={10.1109/TRPMS.2026.3741597},
institution={Forschungszentrum Jülich; Ghent University},
keywords={reviews; deep learning; reconstruction}
}
@article{ge2026nectin4,
title={68Ga-labeled dimeric cyclic peptide for nectin-4-targeted PET imaging: from preclinical evaluation to first-in-human imaging in breast cancer},
author={Ge, Shushan and Li, Jihui and Shi, Jinyu and Jia, Tongtong and Ai, Dingding and Li, Junpeng and Sang, Shibiao and Lan, Jing and Zhang, Bin and Deng, Shengming},
journal={J. Nucl. Med.},
year={Just Accepted},
doi={10.2967/jnumed.126.273306},
pmid={42850038},
institution={First Affiliated Hospital of Soochow University},
keywords={nectin-4; breast cancer; novel tracer; peptide}
}
@article{alberts2026experience,
title={Patient-reported experience and preferences with long-axial-field-of-view and total-body PET/CT: a prospective, multicenter cross-sectional survey},
author={Alberts, Ian L and Ravi, Pavithra and Pereira, Sofia and Assenza, Marta and Mei, Riccardo and Colpo, Nadine and Williams, Caroline and Chicklore, Sugama and Fanti, Stefano and Bénard, François and Cook, Gary JR},
journal={J. Nucl. Med.},
year={Just Accepted},
doi={10.2967/jnumed.126.272973},
pmid={42850036},
institution={University of British Columbia; King's College London; University of Bologna},
keywords={operation experience}
}
@article{chen2026dosimetry,
title={Technical feasibility of dynamic long-axial-field-of-view PET for pretherapeutic predictive dosimetry in Lu-177 DOTATATE therapy: a two-patient proof-of-concept study},
author={Chen, Yizhou and Miao, Ying and Zhang, Kaineng and Zhou, Jinxin and Rominger, Axel and Guo, Rui and Li, Biao and Zhang, Min and Shi, Kuangyu},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
year={Just Accepted},
doi={10.1109/TRPMS.2026.3740179},
institution={University of Bern; Ruijin Hospital},
keywords={DOTATATE; neuroendocrine; dosimetry; kinetics}
}
@article{cao2026tnalp,
title={TNALP associated calcium phosphate microdeposition contributes to thoracic aortic dissection susceptibility},
author={Cao, Long and Ma, Tianfeng and Cao, Hui and Bi, Xiao and Cai, Zeyu and Huang, Yuan and Wang, Ruimin and Zhang, Hongpeng and Guo, Wei},
journal={Communications Biology},
volume={9},
number={1},
pages={1289},
year={2026},
doi={10.1038/s42003-026-10871-z},
pmid={42834101},
institution={PLA General Hospital},
keywords={NaF; cardiovascular; preclinical}
}
@article{marafi2026trivehexin,
title={Diagnostic performance of 68Ga-Trivehexin PET/CT and head-to-head comparison with 18F-FDG PET/CT in patients with triple negative breast cancer},
author={Marafi, Fahad and Agrawal, Kanhaiyalal and Parida, Girish Kumar and Gnanasegaran, Gopinath and Sadeq, Alyaa},
journal={EANM Innovation},
volume={5},
pages={100310},
year={2026},
doi={10.1016/j.eanmi.2026.100310},
institution={Jaber Al-Ahmad Centre of Molecular Imaging},
keywords={68Ga-Trivehexin; αvβ6 integrin; breast cancer; peptide; novel tracer}
}
@article{farhadi2026lafov,
title={Long axial field of view PET: sensitivity, clinical applications, and implementation},
author={Farhadi, Faraz and Veziroglu, Eren and Rajagopal, Jayasai and Hoyek, Nadine and Siegel, Eliot},
journal={Radiologic Clinics of North America},
volume={64},
number={6},
pages={1145--1165},
year={2026},
doi={10.1016/j.rcl.2026.08.010},
pmid={42957401},
institution={Massachusetts General Hospital; University of Maryland},
keywords={reviews; low dose; fast; kinetics; parametric image}
}
@article{banala2026lafovReview,
title={From sensitivity gain to clinical decisions: total-body and long-axial-field-of-view PET/CT for diagnosis and image-based management in oncology and systemic disease},
author={Banala, Mallareddy and Ezuddin, Shabbir and Makanji, Rikesh and Foley, Mark},
journal={Annals of Nuclear Medicine},
year={Just Accepted},
doi={10.1007/s12149-026-02282-1},
pmid={42734850},
institution={University of Miami},
keywords={reviews; management; low dose; fast; delayed imaging}
}
@article{wang2026dpi4452,
title={Diagnostic performance of [68Ga]Ga-DPI-4452 PET/CT in patients with clear cell renal cell carcinoma: a prospective trial},
author={Wang, Dongxing and Du, Lei and Wang, Yaohui and Song, Jingbin and Zhang, Xiaojun and Xu, Xiaodan and Sun, Henan and Fan, Junzhen and Ma, Xin and Gu, Liangyou and Wang, Ruimin},
journal={J. Nucl. Med.},
year={Just Accepted},
doi={10.2967/jnumed.126.272990},
pmid={42722441},
institution={PLA General Hospital},
keywords={68Ga-DPI-4452; CAIX; peptide; kidney; novel tracer}
}
@article{guo2026smic1014,
title={Peptide-derived [68Ga]Ga-SMIC-1014 for c-Met-targeted tumor PET imaging: preclinical and pilot clinical studies},
author={Guo, Danyi and Chen, Yang and Feng, Zican and Luo, Renli and Zeng, Baozhen and Hu, Yinting and Li, Zhenxiang and Cheng, Zhen and Tian, Dan and Jiang, Lei},
journal={Chemical \& Biomedical Imaging},
volume={4},
number={10},
pages={2351--2360},
year={2026},
doi={10.1021/cbmi.6c00141},
pmid={42953704},
institution={Guangdong People's Hospital; Shanghai Institute of Materia Medica, CAS},
keywords={68Ga-SMIC-1014; c-Met; lung cancer; peptide; novel tracer}
}
@article{liu2026delayedVascular,
title={Delayed total-body [18F]FDG PET/CT demonstrates systemic vascular inflammation after concurrent chemoradiotherapy in patients with head and neck cancer},
author={Liu, Guobing and Abdelhafez, Yasser G and Mehadji, Brahim and Di Franco, Martina and Spencer, Benjamin A and Li, Siqi and Sen, Fatma and Sun, Jinger Yu and Rao, Shyam and Alavi, Abass and Shi, Hongcheng and Wang, Guobao and Nardo, Lorenzo},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
number={13},
pages={7759--7769},
year={2026},
doi={10.1007/s00259-026-08160-2},
pmid={42700250},
institution={UC Davis},
keywords={head and neck cancer; cardiovascular; inflammatory; delayed imaging}
}
@article{shuai2026dynamicPSMA,
title={Dynamic PSMA total-body PET/CT in prostate cancer: technical principles and clinical potential},
author={Shuai, Yongkang and Brusa, Irene and Mei, Riccardo and Fanti, Stefano},
journal={Clinical and Translational Imaging},
year={Just Accepted},
doi={10.1007/s40336-026-00796-2},
institution={University of Bologna},
keywords={PSMA; prostate cancer; kinetics; parametric image; reviews}
}
@article{fu2026pcctBreast,
title={Performance of photon-counting CT for assessing pretreatment breast cancer: comparison with mammography, MRI, and 18F-FDG PET/CT},
author={Fu, Qiuyi and Zeng, Yufei and Chang, Rui and Xu, Zhihan and Zhan, Ying and Tan, Ling and Zhou, Jiahao and Chen, Xiaosong and Chai, Weimin and Yan, Fuhua},
journal={Radiology},
volume={320},
number={3},
pages={e253531},
year={2026},
doi={10.1148/radiol.253531},
pmid={42678255},
institution={Ruijin Hospital},
keywords={CT; breast cancer}
}
@article{xia2026visceralAdipose,
title={Associations of visceral adipose tissue metabolism with DMN-centered cross-network metabolic expression concordance and cognitive impairment in Alzheimer's disease},
author={Xia, Zihao and Cheng, Wenyue and Ng, Yee Ling and Li, Kun and Cheng, Zhaoping and Duan, Yanhua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
number={13},
pages={7921--7935},
year={2026},
doi={10.1007/s00259-026-08164-y},
pmid={42663652},
institution={Qianfoshan Hospital},
keywords={Alzheimer's disease; metabolism; neural}
}
@article{sun2026mvkdm,
title={MVKDM: a multi-view Ki diffusion model for ultra-short total-body parametric PET imaging using relative Patlak Ki' inputs},
author={Sun, Hao and Yi, Wenxiang and Hong, Xiaotong and Huang, Yanchao and Niu, Xiaolong and Ye, Zanting and Wu, Xuanbin and Wu, Hubing and Lu, Lijun},
journal={IEEE Journal of Biomedical and Health Informatics},
year={Just Accepted},
doi={10.1109/JBHI.2026.3726946},
pmid={42636121},
institution={Southern Medical University},
keywords={kinetics; parametric image; deep learning; fast}
}
@article{zhang2026trop2Lung,
title={Trop2 immunoPET/CT in annotating differential Trop2 expression in lung cancers: a prospective clinical study},
author={Zhang, You and Liu, Qiufang and Ma, Cheng and Tang, Daoqiang and Wu, Qianyun and Xu, Dongsheng and Jia, Wenzhi and An, Shuxian and Wang, Cheng and Zhao, Xiaojing and Huang, Gang and Cao, Min and Wei, Weijun and Liu, Jianjun},
journal={The EANM Journal},
volume={4},
pages={100242},
year={2026},
doi={10.1016/j.eanmj.2026.100242},
institution={Renji Hospital},
keywords={Trop2; lung cancer; nanobody; novel tracer}
}
@article{tang2026protonCSI,
title={Total-body PET/CT imaging after proton craniospinal irradiation in pediatric patients: a brief report},
author={Tang, Hongmei and Xu, Jiahui and Xiao, Zhiping and Wu, Yang and Zheng, Renchao and Cheng, Zhaoting and Song, Shuang and Liu, Fei and Zhu, Yuankai and Zheng, Hairong and Tao, Zhen and Yuan, Xianglin and Zhu, Xiaohua},
journal={International Journal of Radiation Oncology Biology Physics},
volume={126},
number={4},
pages={1034--1039},
year={2026},
doi={10.1016/j.ijrobp.2026.08.004},
pmid={42595263},
institution={Tongji Hospital; SIAT, CAS},
keywords={dynamic acquisition; proton therapy; pediatrics}
}
@article{khandelwal2027theranostic,
title={Fluorodeoxyglucose PET/CT in multimodality and theranostic workflows},
author={Khandelwal, Yogita and Bishnoi, Komal and Jain, Bela and Kumar, Rakesh},
journal={PET Clinics},
volume={22},
number={1},
pages={173--191},
year={2027},
doi={10.1016/j.cpet.2026.06.015},
pmid={42575751},
institution={All India Institute of Medical Sciences},
keywords={reviews}
}
@article{defrancisci2026kinetics,
title={Exploring kinetic heterogeneity in [18F]FDG total-body PET: a comparison of compartmental and data-driven approaches},
author={De Francisci, Mattia and Wang, Yiran and Wang, Guobao and Cherry, Simon R and Bertoldo, Alessandra and Veronese, Mattia},
journal={EANM Innovation},
volume={4},
pages={100291},
year={2026},
doi={10.1016/j.eanmi.2026.100291},
institution={University of Padova; UC Davis},
keywords={kinetics; parametric image}
}
@article{alongi2026lafovShortAcquisition,
title={LAFOV PSMA PET/CT: preliminary report on protocol optimization and future perspectives in prostate cancer imaging},
author={Alongi, Pierpaolo and Comelli, Albert and Morea, Simone and Benfante, Viviana and Cannella, Roberto and Di Biagio, Daniele},
journal={Nuclear Medicine and Molecular Imaging},
year={Just Accepted},
doi={10.1007/s13139-026-01053-0},
institution={University of Palermo; San Pietro Fatebenefratelli Hospital},
keywords={PSMA; prostate cancer; fast; image quality}
}
@article{clark2026cardiovascular,
title={Cardiovascular imaging with total-body PET},
author={Clark, Laura E and Morgan, Aidan and Balmforth, Craig and MacMillan-John, Mark T and Winarski, Allison C and Khaing, Phyo and Newby, David E and Dweck, Marc R},
journal={British Journal of Radiology},
volume={99},
number={1185},
pages={1672--1684},
year={2026},
doi={10.1093/bjr/tqag165},
pmid={42494098},
institution={University of Edinburgh},
keywords={cardiovascular; systems physiology; reviews}
}
@article{wang2026smoking,
title={Smoking reshapes systemic metabolic coordination across lung cancer subtypes: a multicenter total-body 18F-FDG PET/CT study with tumor habitat imaging},
author={Wang, Haiyan and Wu, Yaping and Duan, Yanhua and Li, Lianghua and Sun, Lubing and Tao, Xuetong and Zhang, Na and Zhao, Xiaowen and Liu, Jianjun and Guan, Zilong and Guo, Wanwan and Jin, Yuxi and Chen, Zixiang and Li, Wenbo and Zheng, Hairong and Liang, Dong and Chen, Ruohua and Cheng, Zhaoping and Wang, Meiyun and Mok, Greta S P and Hu, Zhanli},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
number={12},
pages={7142--7159},
year={2026},
doi={10.1007/s00259-026-08086-9},
pmid={42474504},
institution={SIAT, CAS; Henan People's Hospital; Qianfoshan Hospital; Renji Hospital},
keywords={lung cancer; dynamic acquisition; systems physiology; radiomics}
}
@article{li2026mambaSum,
title={Mamba-SUM: A Mamba-based framework with wavelet transformation for total-body ultra-low-dose PET/CT imaging},
author={Li, Wenbo and Zhou, Chao and Zhang, Xu and Fan, Wei and Zheng, Hairong and Liang, Dong and Hu, Zhanli and Zhang, Na},
journal={IEEE Transactions on Image Processing},
volume={35},
pages={7742--7755},
year={2026},
doi={10.1109/TIP.2026.3712348},
pmid={42467572},
institution={SIAT, CAS; Sun Yat-Sen Cancer},
keywords={nasopharyngeal; deep learning; denoising; low dose}
}
@article{yan2026advances,
title={Advances in total-body PET/CT research},
author={Yan, Chushan and Xu, Jiehua},
journal={Journal of Biosciences and Medicines},
volume={14},
number={1},
pages={274--282},
year={2026},
doi={10.4236/jbm.2026.141021},
institution={Zhuhai People's Hospital},
keywords={reviews; dynamic acquisition; dual tracer; low dose}
}
@article{farolfi2026psmaBiopsy,
title={PSMA PET/CT–targeted biopsy in men with negative or equivocal multiparametric MRI and exploratory dynamic total-body PET: The FUPERMAN study},
author={Farolfi, Andrea and Sgro, Caterina Maria Paola and Brusa, Irene and Dall'Olio, Daniele and Romei, Francesco and Presutti, Massimiliano and Droghetti, Matteo and Di Giorgio, Andrea and Mei, Riccardo and Corcioni, Beniamino and Gaudiano, Caterina and Mosconi, Cristina and Schiavina, Riccardo and Castellucci, Paolo and Fanti, Stefano and Bianchi, Lorenzo},
journal={J. Nucl. Med.},
volume={67},
number={9},
pages={1392--1400},
year={2026},
doi={10.2967/jnumed.126.272108},
pmid={42392696},
institution={University of Bologna},
keywords={[68Ga]Ga-PSMA-11; prostate cancer; kinetics}
}
@article{he2026MDM2,
title={PET radiotracers targeting MDM2 protein interaction: From preclinical validation to first-in-human studies},
author={He, Chengxue and Wang, Zhen and Zhou, Nina and Meng, Xiangxi and Zhu, Hua and Hao, Chunyi and Yang, Zhi and Xia, Lei},
journal={Pharmacological Research},
volume={230},
pages={108314},
year={2026},
doi={10.1016/j.phrs.2026.108314},
pmid={42323176},
institution={Beijing Cancer Hospital},
keywords={[68Ga]Ga-DOTA-7041; liposarcoma; novel tracer; peptide}
}
@article{liu2026BBPA,
title={Detailed pharmacokinetic features of a novel bis-boron 18F-trifluoroborate acid in healthy volunteers: comparable and additional values of total-body PET-imaging-derived analysis},
author={Liu, Guobing and Xu, Hongrong and Lv, Jing and Xie, Yunze and Zhang, Lichao and Agostini, Denis and Besson, Florent L and Rominger, Axel and Al-Ibraheem, Akram and Zheng, Jiefu and Nardo, Lorenzo and Li, Xuening and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
number={11},
pages={6684--6696},
year={2026},
doi={10.1007/s00259-026-08004-z},
pmid={42301423},
institution={Zhongshan Hospital},
keywords={[18F]BBPA; novel tracer; kinetics; small molecule}
}
@article{yi2026crossTracer,
title={Cross-tracer synthesis model of 11C-CFT and 18F-DOPA PET images from 18F-FDG for Parkinson's disease},
author={Yi, Wenxiang and Sun, Xiaolin and Sun, Hao and Chang, Yuan and Ye, Zanting and Niu, Xiaolong and Jiang, Lei and Lu, Lijun},
journal={IEEE Journal of Biomedical and Health Informatics},
year={Just Accepted},
doi={10.1109/JBHI.2026.3702259},
pmid={42268758},
institution={Guangdong People's Hospital; Southern Medical University},
keywords={[11C]CFT; [18F]FDOPA; deep learning; Parkinson's disease}
}
@article{tang2026protonWashout,
title={Total-body dynamic PET/CT imaging of proton-induced activity and biologic washout after proton therapy},
author={Tang, Hongmei and Song, Shuang and Liu, Fei and Xu, Jiahui and Wu, Yang and Zheng, Renchao and Cheng, Zhaoting and Wang, Shengle and Zhu, Yuankai and Xiao, Zhiping and Zhu, Fan and Zheng, Hairong and Tao, Zhen and Yuan, Xianglin and Zhu, Xiaohua},
journal={J. Nucl. Med.},
volume={67},
number={9},
pages={1484--1490},
year={2026},
doi={10.2967/jnumed.126.272338},
pmid={42276783},
institution={Tongji Hospital; SIAT, CAS},
keywords={dynamic acquisition; proton therapy}
}
@article{holman2026kineticsReview,
title={Kinetic modelling with total body PET - current status and future applications},
author={Holman, Beverley F and Davis, Neil and Chowdhury, Adnan and Khan, Jannat and Natarajan, Hemangini and Meades, Richard and Willson, Tamar and Yoosoof, Viraj and McCool, Daniel},
journal={British Journal of Radiology},
volume={99},
number={1185},
pages={1662--1671},
year={2026},
doi={10.1093/bjr/tqag139},
pmid={42241223},
institution={Royal Free Hospital},
keywords={kinetics; reviews}
}
@article{zhu2026FAPIBreastNeoadjuvant,
title={Diagnostic performance of [68Ga]Ga-FAPI PET/CT versus [18F]FDG PET/CT in evaluating neoadjuvant therapy pathological response in breast cancer},
author={Zhu, Siji and Jin, Yihua and Hu, Chao and Fan, Yanli and Fei, Xiaochun and Hu, Jiajia and Chen, Xiaosong},
journal={npj Breast Cancer},
volume={12},
number={1},
pages={115},
year={2026},
doi={10.1038/s41523-026-00983-4},
pmid={42230653},
institution={Ruijin Hospital},
keywords={FAPI; breast cancer; dual tracer}
}
@article{han2026dynamicFAPIParametric,
title={The impact of scan time on dynamic [68Ga]Ga-FAPI-04 total-body PET parametric imaging generated by deep learning models},
author={Han, Jidong and Liu, Yu and Huang, Meiyong and Chen, Lingxin and Gao, Yunlong and Yang, Xinlan and Liu, Jianjun and Liang, Dong and Hu, Zhanli and Chen, Ruohua and Yuan, Bo},
journal={EJNMMI Physics},
volume={13},
number={1},
pages={80},
year={2026},
doi={10.1186/s40658-026-00895-z},
pmid={42234386},
institution={SIAT, CAS; Renji Hospital},
keywords={FAPI; deep learning; parametric image; kinetics}
}
@article{alongi2026piflufolastatProstate,
title={Clinical performance of [18F]piflufolastat PET/CT on a 194-cm LAFOV PET/CT system in prostate cancer},
author={Alongi, Pierpaolo and Chiaravalloti, Agostino and Morea, Simone and Di Biagio, Daniele},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
number={10},
pages={5811--5820},
year={2026},
doi={10.1007/s00259-026-07955-7},
pmid={42216971},
institution={University of Palermo},
keywords={PSMA; prostate cancer}
}
@article{ma2026cd147peptideTumorImaging,
title={The development and pilot clinical study of CD147 targeted antagonistic peptide probe for tumor imaging},
author={Ma, Xiaokun and Guo, Rui and Niu, Dongfeng and Song, Yufei and Zhang, Zhenyao and Meng, Xiangxi and Mao, Lili and Huang, Haifeng and Zhu, Hua and Yang, Zhi and Liu, Teli},
journal={Advanced Science},
volume={13},
number={46},
pages={e22550},
year={2026},
doi={10.1002/advs.202522550},
pmid={42189115},
institution={Beijing Cancer Hospital},
keywords={novel tracer; CD147; peptide}
}
@article{lin2026selfSupervisedLowDose,
title={DuSS-PET: self-supervised low-dose PET reconstruction using pseudo-dual-domain consistency without paired data},
author={Lin, Shuijin and He, Yuzhu and Wang, Yongbo and Ma, Jianhua and Wang, Fan},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
year={Just Accepted},
doi={10.1109/TRPMS.2026.3696317},
institution={Xi'an Jiaotong University},
keywords={low dose; deep learning; reconstruction}
}
@article{alongi2026lowActivityBreast,
title={Low-activity total-body LAFOV-PET/CT in breast cancer staging and restaging: a preliminary clinical evaluation and potential adoption of ultra-fast protocol},
author={Alongi, Pierpaolo and Morea, Simone and Di Biagio, Daniele},
journal={Clinical and Translational Imaging},
volume={14},
number={4},
pages={367--374},
year={2026},
doi={10.1007/s40336-026-00774-8},
institution={University of Palermo},
keywords={breast cancer; low dose; fast}
}
@article{wang2026multiOrganDiabetes,
title={Multi-organ glucose metabolism alterations in diabetes mellitus: a total-body 18F-FDG PET/CT study},
author={Wang, Minghua and Sun, Lubing and Wu, Yaping and Yang, Junpeng and Liang, Junting and Meng, Nan and Jiao, Yichun and Guo, Xinyu and Yue, Xipeng and Lv, Jingjing and Yu, Lili and Sun, Tao and Wang, Meiyun and Chen, Chuanliang},
journal={EJNMMI Research},
volume={16},
number={75},
year={2026},
doi={10.1186/s13550-026-01418-8},
pmid={41927952},
institution={Henan People's Hospital; SIAT, CAS},
keywords={metabolism; systems physiology}
}
@article{tavakoli2026timeDelayCorrectionBrain,
title={Impact of time delay correction on brain kinetic quantification using total-body dynamic PET},
author={Tavakoli, Anahita and Wang, Yiran and Nardo, Lorenzo and Puta, Erinda and Abdelhafez, Yasser G and Cherry, Simon R and Badawi, Ramsey D and Jones, Terry and Wang, Guobao},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
year={Just Accepted},
doi={10.1109/TRPMS.2026.3688464},
institution={UC Davis},
keywords={kinetics; lung cancer; input function}
}
@article{tang2026fastingGlucoseOrgans,
title={How organs react under fasting or glucose-insulin status: a self-controlled study using 18F-FDG total-body PET/CT},
author={Tang, Yifei and Xie, Yunze and Gu, Taoying and Tang, Wenxin and Zhang, Lichao and Yu, Haojun and Chen, Shuguang and Hu, Pengcheng and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
number={9},
pages={5586--5596},
year={2026},
doi={10.1007/s00259-026-07924-0},
pmid={42151618},
institution={Zhongshan Hospital},
keywords={metabolism; systems physiology}
}
@article{zheng2026FAPI42nasopharyngeal,
title={Comparative diagnostic performance of 18F-FAPI-42 versus 18F-FDG PET/computed tomography in detecting distant metastases of nasopharyngeal carcinoma and potential pitfalls},
author={Zheng, Yuzhao and Tang, Ganghua and Tian, Ying and Chen, Li and Zhou, Kemin and Sun, Penghui and Zhang, Yin and Wu, Hubing},
journal={Nuclear Medicine Communications},
volume={47},
number={7},
pages={836--845},
year={2026},
doi={10.1097/MNM.0000000000002151},
pmid={41958434},
institution={Nanfang Hospital},
keywords={[18F]FAPI-42; nasopharyngeal; FAPI}
}
@article{hu2026SnapPETpediatric,
title={A rapid total-body PET imaging approach for pediatric patients using non-attenuation-corrected PET scans},
author={Hu, Jingxi and Huang, Yuqian and Zhang, Qiyang and Hu, Yingying and Zhao, Yumo and Zhang, Xu and Fan, Wei and Zheng, Hairong and Liang, Dong and Hu, Zhanli and Jiang, Changhui and He, Xiangjian and Zhang, Na},
journal={EJNMMI Physics},
volume={13},
number={1},
pages={61},
year={2026},
doi={10.1186/s40658-026-00889-x},
pmid={42171886},
institution={SIAT, CAS; Sun Yat-Sen Cancer},
keywords={deep learning; pediatrics}
}
@article{tang2026ALKmutationRadiomics,
title={Prediction of ALK, EGFR and KRAS mutations in lung adenocarcinoma based on PET/CT radiomics by cluster and synthetic minority over-sampling technique},
author={Tang, Chengbin and Wang, Tao and Liu, Yang and Chang, Ping and Li, Yunjing and Xiong, Yanlu and Chen, Ruiji and Chen, Yesheng and Wang, Ruimin},
journal={Medicine},
volume={105},
number={20},
pages={e48807},
year={2026},
doi={10.1097/MD.0000000000048807},
pmid={42152346},
institution={PLA General Hospital},
keywords={radiomics; lung cancer}
}
@article{wang2026CTfreeAdaptation,
title={Generalizable CT-free PET attenuation and scatter correction via few-shot cross domain adaptation},
author={Wang, Hanzhong and Wen, Meiyuan and Qiao, Xiaoya and Chen, Qianhao and An, Yi and Chen, Xin and Guo, Rui and Huang, Qiu and Zhu, Xiaohua and Cheng, Zhaoping and Xu, Jiehua and Zheng, Hairong and Liang, Dong and He, Xiangjian and Hu, Zhanli and Li, Biao},
journal={npj Digital Medicine},
volume={9},
number={1},
pages={374},
year={2026},
doi={10.1038/s41746-026-02760-w},
pmid={42135504},
institution={Ruijin Hospital; SIAT, CAS},
keywords={deep learning; attenuation; correction; CT-free}
}
@article{jia2026Trop2RT4breast,
title={Immuno-PET/CT imaging of Trop2 expression with [18F]AlF-RESCA-RT4 enhances diagnosis of breast cancers and the metastases},
author={Jia, Wenzhi and Yan, Tingting and An, Shuxian and Zhang, You and Wu, Qianyun and Wu, Ziping and Xu, Dongsheng and Hu, Zhoumi and Wang, Cheng and Huang, Gang and Liu, Jianjun and Lin, Yanping and Wei, Weijun},
journal={J. Nucl. Med.},
volume={67},
number={8},
pages={1209--1215},
year={2026},
doi={10.2967/jnumed.125.271093},
pmid={42134979},
institution={Renji Hospital},
keywords={novel tracer; breast cancer; Trop2; nanobody}
}
@article{xue2026CTfreeSegmentation,
title={Proof of concept of anatomical independence in total-body PET using AI-based CT-free multi-organ segmentation},
author={Xue, Song and Clement, Christoph and Miao, Ying and Wang, Hanzhong and Seifert, Robert and Viscione, Marco and Rominger, Axel and Guo, Rui and Li, Biao and Shi, Kuangyu},
journal={The EANM Journal},
volume={3},
pages={100221},
year={2026},
doi={10.1016/j.eanmj.2026.100221},
institution={University of Bern; Ruijin Hospital},
keywords={deep learning; segmentation; CT-free}
}
@article{wu2026RCCB6ccRCC,
title={[18F]RCCB6 PET/CT in diagnosing clear cell renal cell carcinomas: a prospective comparison study with [18F]FDG PET/CT and conventional imaging},
author={Wu, Qianyun and An, Shuxian and Gelardi, Fabrizia and Zhang, You and Li, Lianghua and Kong, Wen and Cao, Min and Jia, Wenzhi and Xu, Dongsheng and Wan, Liangrong and Huang, Gan and Wang, Cheng and Hu, Zhoumi and Huang, Jiwei and Zhai, Wei and Zhang, Jin and Chiti, Arturo and Huang, Gang and Liu, Jianjun and Wei, Weijun},
journal={Cancer Discovery},
volume={16},
number={10},
pages={2008--2020},
year={2026},
doi={10.1158/2159-8290.CD-26-0016},
pmid={42112793},
institution={Renji Hospital},
keywords={novel tracer; kidney; nanobody}
}
@article{gao2026concurrentNMDAR,
title={Concurrent NMDAR and GFAP autoimmune encephalitis with glioblastoma diagnosed by 18F-FDG and 11C-methionine PET/CT},
author={Gao, Siqing and Zhang, Chenpeng and Zhang, Yan and Xin, Mei and Liu, Jianjun},
journal={Journal of Nuclear Medicine and Molecular Imaging},
year={Just Accepted},
doi={10.65457/JNMMI-2026-0025},
institution={Renji Hospital},
keywords={case; dual tracer; neural; methionine}
}
@article{muller2026realizationLongAFOV,
title={Realization of long axial field-of-view PET technology in the clinic and research environment},
author={Muller, Florence M and Daube-Witherspoon, Margaret E and Li, Elizabeth J and Pantel, Austin R and Karp, Joel S},
journal={British Journal of Radiology},
volume={99},
number={1185},
pages={1647--1661},
year={2026},
doi={10.1093/bjr/tqag096},
pmid={42046230},
institution={UPenn},
keywords={reviews; deep learning; reconstruction; dynamic acquisition}
}
@article{azimi2026radiomicsReproducibility,
title={Supervised vs. unsupervised radiomics reproducibility across dose-level variations and partial volume correction methods in total-body PET imaging},
author={Azimi, Mohammad Saber and MahdiMaleki, Faezeh and MahdiMaleki, Fatemeh and Cheraghi, Maryam and Alavi, Abass and Zaidi, Habib},
journal={Biomedical Signal Processing and Control},
volume={122},
pages={110307},
year={2026},
doi={10.1016/j.bspc.2026.110307},
institution={Geneva University Hospital; University of Groningen; UPenn},
keywords={radiomics; harmonization}
}
@article{kong2026covalentFAPIsurgery,
title={Covalent FAPI imaging-guided precision surgery in patients with medullary thyroid carcinoma: a phase II clinical trial},
author={Kong, Ziren and Liu, Yang and Lin, Yansong and Li, Zhu and Cui, Xi-Yang and Liu, Shengyan and Zhang, Xin and Li, Ruochen and Yang, Ye and Sun, Yuning and Nie, Yongdu and Zhang, Zongmin and An, Changming and Ni, Song and Zhu, Yiming and Liu, Zhibo and Wang, Jian and Liu, Shaoyan},
journal={Clinical Cancer Research},
volume={32},
number={9},
pages={1641--1651},
year={2026},
doi={10.1158/1078-0432.CCR-25-3970},
pmid={42013308},
institution={Cancer Hospital, CAMS; Peking Union Medical College Hospital; Changping Laboratory},
keywords={CTR-FAPI; thyroid cancer; FAPI; novel tracer; small molecule}
}
@article{xie2026doseAwareDiffusionDenoising,
title={Dose-aware diffusion model for 3D PET image denoising: multi-institutional validation with reader study and real low-dose data},
author={Xie, Huidong and Gan, Weijie and Bayerlein, Reimund and Zhou, Bo and Chen, Ming-Kai and Kulon, Michal and Boustani, Annemarie and Ko, Kuan-Yin and Wang, Der-Shiun and Spencer, Benjamin A and Ji, Wei and Chen, Xiongchao and Liu, Qiong and Guo, Xueqi and Xia, Menghua and Zhou, Yinchi and Liu, Hui and Guo, Liang and An, Hongyu and Kamilov, Ulugbek S and Wang, Hanzhong and Li, Biao and Rominger, Axel and Shi, Kuangyu and Wang, Ge and Badawi, Ramsey D and Liu, Chi},
journal={Medical Image Analysis},
volume={111},
pages={104039},
year={2026},
doi={10.1016/j.media.2026.104039},
pmid={41930496},
institution={Yale University; UC Davis; WashU St Louis; Ruijin Hospital},
keywords={denoising; deep learning; low dose}
}
@article{brusa2026cholineKineticsDosimetry,
title={Dynamic total-body PET imaging unfolds [11C]choline kinetics and dosimetry in primary hyperparathyroidism},
author={Brusa, Irene and Santoro, Miriam and Dall'Olio, Daniele and Fuso, Giuseppe Arturo and Zagni, Federico and Assenza, Marta and Fortunati, Emilia and Emiliani, Stefano and Cabitza, Veronica Serena and Tabacchi, Elena and Farolfi, Andrea and Mei, Riccardo and Nanni, Cristina and Castellucci, Paolo and Calderoni, Letizia and Strigari, Lidia and Castellani, Gastone and Fanti, Stefano},
journal={J. Nucl. Med.},
volume={67},
number={7},
pages={1132--1138},
year={2026},
doi={10.2967/jnumed.125.270518},
pmid={41991339},
institution={University of Bologna},
keywords={kinetics; dosimetry}
}
@article{chen2026organAwareRegistration,
title={Organ-aware cross-modality registration enables attenuation correction without repeated CT in multi-scan total-body PET/CT imaging},
author={Chen, Qianhao and Li, Lianghua and Zheng, Hairong and Liang, Dong and Liu, Jianjun and Hu, Zhanli},
journal={IEEE Journal of Biomedical and Health Informatics},
year={Just Accepted},
doi={10.1109/JBHI.2026.3681068},
pmid={41941782},
institution={SIAT, CAS; Renji Hospital},
keywords={attenuation; deep learning; CT}
}
@article{azimi2026digitalTwinRadiomics,
title={A digital twin framework for modeling multi-organ radiomics stability in total-body PET imaging},
author={Azimi, Mohammad Saber and Cheraghi, Maryam and Zaidi, Habib},
journal={Academic Radiology},
volume={33},
number={7},
pages={3076--3086},
year={2026},
doi={10.1016/j.acra.2026.03.043},
institution={Obuda University},
keywords={radiomics; systems physiology}
}
@article{song2026FlurpiridazKinetics,
title={First total-body kinetics study of 18F-flurpiridaz in healthy volunteers at rest and feasibility of simplified quantitative strategies},
author={Song, Hao and Xiang, Zhenyu and Wang, Yihan and Zhao, Jingxu and Wen, Yongpeng and Qin, Zhixing and Gao, Jia and Wu, Zhifang and Wu, Ping and Li, Sijin},
journal={J. Nucl. Med.},
volume={67},
number={7},
pages={1148--1155},
year={2026},
doi={10.2967/jnumed.125.270997},
pmid={41927281},
institution={First Hospital of Shanxi Medical University; United Imaging; Shanghai Tech},
keywords={kinetics}
}
@article{li2026Dar3AFAPI,
title={Development of Dar3A chelator and construction of FAP-targeted PET probe as proof of concept and for first-in-human evaluation},
author={Li, Renda and Cao, Rui and Zhang, Guojin and Ding, Longyong and Lai, Chaoquan and Liu, Entao and Qian, Kun and Tan, Boyu and Zhu, Jiamin and Song, Miaomiao and Luo, Renli and Du, Jin and Luo, Quanyong and Qu, Chunrong and Jiang, Lei and Cheng, Zhen},
journal={J. Nucl. Med.},
volume={67},
number={7},
pages={1156--1163},
year={2026},
doi={10.2967/jnumed.125.271421},
pmid={41956560},
institution={Shanghai Institute of Materia Medica, CAS; Guangdong People's Hospital; Northeastern University},
keywords={FAPI; novel tracer; small molecule}
}
@article{digiorgio2026Theranostics,
title={Total-body PET in theranostics: reshaping treatment planning and follow-up},
author={Di Giorgio, Andrea and Di Franco, Martina and Mei, Riccardo and Farolfi, Andrea and Fanti, Stefano},
journal={PET Clinics},
volume={21},
number={3},
pages={343--351},
year={2026},
doi={10.1016/j.cpet.2026.02.001},
pmid={41951505},
institution={University of Bologna; UC Davis},
keywords={reviews; dynamic acquisition}
}
@article{chen2026PDL1PET,
title={PD-L1-targeted PET imaging for non-invasive assessment of immunotherapy response in lung cancer},
author={Chen, Yang and Liu, Xiufeng and Hu, Yinting and Li, Ao and Zeng, Baozhen and Wang, Peng and Tang, Ganghua and Jiang, Benyuan and Yuan, Hui and Jiang, Lei},
journal={Journal for ImmunoTherapy of Cancer},
volume={14},
number={e013837},
year={2026},
doi={10.1136/jitc-2025-013837},
pmid={41922084},
institution={Guangdong People's Hospital; Nanfang Hospital},
keywords={PD-L1; lung cancer; novel tracer; peptide}
}
@article{steffner2026LAFOVreview,
title={Large axial field of view PET/CT -- Not just a longer PET gantry},
author={Steffner, M R and Felgenhauer, T and Szermerski, B and Diekmann, J and Bengel, F M and Ziegler, S I and Geworski, L},
journal={Zeitschrift für Medizinische Physik},
volume={36},
number={3},
pages={326--331},
year={2026},
doi={10.1016/j.zemedi.2026.03.008},
pmid={41887984},
institution={Hannover Medical School},
keywords={reviews}
}
@article{hu2026cMetPET,
title={Synthesis, preclinical investigations, and pilot clinical imaging studies of 68Ga-labeled peptide-derived c-Met-targeted PET probes},
author={Hu, Yinting and Chen, Yang and Zhu, Jiamin and Qian, Kun and Guo, Danyi and Zeng, Baozhen and Wang, Peng and Tian, Dan and Yuan, Hui and Jiang, Lei},
journal={Journal of Medicinal Chemistry},
volume={69},
number={7},
pages={8168--8180},
year={2026},
doi={10.1021/acs.jmedchem.5c03596},
pmid={41856960},
institution={Guangdong People's Hospital; Shanghai Institute of Materia Medica, CAS},
keywords={novel tracer; lung cancer; peptide}
}
@article{azimi2026digital,
title={Instrumentation digital twins in PET and SPECT imaging: current status, challenges, and future directions},
author={Azimi, Mohammad Saber and Karakatsanis, Nicolas A and Sabet, Hamid and Rafecas, Magdalena and Nehmeh, Sadek and Alavi, Abass and King, Michael and Zaidi, Habib},
journal={Computational and Structural Biotechnology Journal},
volume={35},
number={1},
pages={0046},
year={2026},
doi={10.34133/csbj.0046},
pmid={41993877},
institution={Geneva University Hospital; UPenn},
keywords={reviews}
}
@article{xin2026tauPSP,
title={18F-PI-2620 tau positron emission tomography and quantitative susceptibility mapping reveal spatiotemporal interactions between tau deposition and iron accumulation in progressive supranuclear palsy},
author={Xin, Mei and Yuan, Peizhe and Qi, Lin and Huang, Gan and Hao, Jiaxin and Wang, Cheng and Yang, Yang and Shao, Hongda and Zhang, Chenpeng and Huang, Gang and Liu, Jianjun},
journal={Brain Network Disorders},
volume={2},
number={3},
pages={232--240},
year={2026},
doi={10.1016/j.bnd.2026.02.003},
institution={Renji Hospital},
keywords={novel tracer; neural; small molecule}
}
@article{shao2026kinetic,
title={Neural network approximation aided kinetic parameter inference of compartment models in dynamic PET},
author={Shao, Wenrui and Chen, Yixin and Fu, Ourui and Li, Tian and Yang, Zhi and Li, Nan and Han, Hongbin and Meng, Xiangxi and Xie, Zhaoheng},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
volume={10},
number={8},
pages={1219--1229},
year={2026},
doi={10.1109/TRPMS.2026.3660465},
institution={Peking University; Beijing Cancer Hospital},
keywords={kinetics; deep learning}
}
@article{karakatsanis2026LAFOV,
title={Long axial field-of-view (LAFOV) PET in the era of multi-parametric imaging and theranostics},
author={Karakatsanis, Nicolas A},
journal={British Journal of Radiology},
volume={99},
number={1183},
pages={1235--1249},
year={2026},
doi={10.1093/bjr/tqag060},
pmid={41830147},
institution={Weill Cornell Medical College},
keywords={dynamic acquisition; dosimetry; reviews}
}
@article{liu2026CAIX,
title={Development of CAIX-targeted radioligand theranostic pairs for clear cell renal cell carcinoma},
author={Liu, Yang and Mo, Chunwei and Dong, Ye and Tang, Peipei and Li, Hongxin and Xu, Zexin and Zhao, Yongsheng and Chen, Haibo and Hu, Kongzhen},
journal={Chemical Engineering Journal},
volume={532},
pages={174381},
year={2026},
doi={10.1016/j.cej.2026.174381},
institution={Nanfang Hospital; Peking University Shenzhen Hospital},
keywords={novel tracer; kidney; CAIX; peptide}
}
@article{ma2026uncertainty,
title={Enhancing uncertainty assessment in dynamic PET imaging with residual permutation and clustering},
author={Ma, Kun and Cheng, Fangxiao and Liu, Wei and Shao, Wenrui and Yang, Yalei and Li, Nan and Meng, Xiangxi and Xie, Zhaoheng},
journal={Medical Image Analysis},
volume={110},
pages={103997},
year={2026},
doi={10.1016/j.media.2026.103997},
pmid={41747527},
institution={Peking University; Beijing Cancer Hospital},
keywords={kinetics; uncertainty}
}
@article{tian2026listmode,
title={List-mode TOF-PET 3D image reconstruction using stochastic primal-dual network},
author={Tian, Kun and Hu, Rui and Wan, Yiming and Zheng, Zhenrong and Chen, Yunmei and Liu, Huafeng},
journal={Medical Physics},
volume={53},
number={2},
pages={e70324},
year={2026},
doi={10.1002/mp.70324},
pmid={41691549},
institution={Zhejiang University},
keywords={reconstruction; deep learning; image quality}
}
@article{li2026patlak-pbnt,
title={Patlak-PBNT: a simple population-based Patlak model to generate 68Ga-Ga-PSMA-11 Ki parametric images for shortened total-body PET scan},
author={Li, Lianghua and Gu, Wenjian and Yang, Wentong and Wei, Weijun and Liu, Jianjun and Huang, Gang and Ge, Junbo and Luo, Gongning and Xu, Shiming and Zhou, Yun},
journal={EJNMMI Physics},
year={2026},
doi={10.1186/s40658-026-00840-0},
pmid={41689688},
institution={Renji Hospital; United Imaging; Harbin Institute of Technology},
keywords={PSMA; parametric image; input function; prostate cancer; kinetics}
}
@article{dallolio2026advancing,
title={Advancing clinical and research frontiers with total body PET imaging: from enhancing routine practice to seeking novel dynamic insights},
author={Dall'Olio, Daniele and Brusa, Irene and Assenza, Marta and Santoro, Miriam and Civollani, Sofia and Strigari, Lidia and Castellani, Gastone and Pettinato, Cecilia and Wang, Guobao and Spencer, Benjamin A and Nardo, Lorenzo and Mei, Riccardo and Nanni, Cristina and Farolfi, Andrea and Fanti, Stefano},
journal={Physica Medica},
volume={142},
pages={105516},
year={2026},
doi={10.1016/j.ejmp.2025.105516},
institution={University of Bologna; UC Davis},
keywords={dynamic acquisition; [68Ga]Ga-PSMA-11; FAPI; DOTATATE}
}
@article{sun2026dual,
title={Deep learning-based one-stop 11C-CFT and 18F-FDG dual-tracer brain PET imaging protocol for Parkinson's disease},
author={Sun, Xiaolin and Chang, Yuan and Tan, Xiaoyue and Zhang, Qing and Sun, Hao and He, Shanzhen and Wang, Fanghu and Lu, Lijun and Jiang, Lei},
journal={Brain Research Bulletin},
volume={236},
pages={111764},
year={2026},
doi={10.1016/j.brainresbull.2026.111764},
pmid={41651249},
institution={Guangdong People's Hospital; Southern Medical University},
keywords={dual tracer; [11C]CFT; deep learning; Parkinson's disease}
}
@article{yin2026trop2,
title={Trop2-targeted [18F]AlF-RESCA-RT4 immunoPET/CT in guiding clinical surgeries of thyroid cancers: a proof-of-concept study},
author={Yin, Xinlu and Jia, Wenzhi and Xu, Le and Zheng, Wenjie and Gao, Yiqing and Tang, Linglin and Zhang, You and Wu, Qianyun and Xu, Dongsheng and An, Shuxian and Wei, Weijun and Liu, Jianjun and Zhou, Qinyi and Feng, Jialin and Chen, Jun},
journal={Molecular Pharmaceutics},
volume={23},
number={3},
pages={1696--1704},
year={2026},
doi={10.1021/acs.molpharmaceut.5c01423},
pmid={41575262},
institution={Renji Hospital},
keywords={Trop2; thyroid cancer; novel tracer; nanobody}
}
@article{li2026harmonisation,
title={Harmonisation of standard uptake values in long-axial field-of-view PET/CT: an exploratory study},
author={Li, Yue and Zhang, Zhu and Bai, Hanyu and Lu, Xinmiao and Pang, Hua},
journal={EJNMMI Physics},
volume={13},
number={1},
pages={19},
year={2026},
doi={10.1186/s40658-025-00819-3},
pmid={41571988},
institution={1st Affiliated Hospital Chongqing Medical Univ.},
keywords={image quality; harmonization}
}
@article{elmoujarkach2025petal3d,
title={PETAL-3D: Progressive elimination of noise towards accurate ultra low-count PET images using 3D U-Nets},
author={Elmoujarkach, Ezzat and Schmidt, Fabian P and Calderón, Eduardo and Lan, Wenhong and Linder, Pia M and Kiefer, Lena S and la Fougère, Christian and Rafecas, Magdalena},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
volume={10},
number={6},
pages={837--848},
year={2026},
doi={10.1109/TRPMS.2025.3638644},
institution={University Hospital Tübingen; Universität zu Lübeck},
keywords={denoising; deep learning; low dose; image quality}
}
@article{liu2026neurotensin,
title={Peptide-based PET imaging agent [68Ga]Ga-DOTA-NT-20.3-Ibu for noninvasive evaluation of tumor neurotensin receptor 1 expression},
author={Liu, Xiufeng and Chen, Yang and Zhu, Jiamin and Zhang, Wenqing and Qian, Kun and Guo, Danyi and Guo, Qi and Wang, Peng and Cheng, Zhen and Yuan, Hui and Jiang, Lei},
journal={Molecular Pharmaceutics},
volume={23},
number={3},
pages={2131--2141},
year={2026},
doi={10.1021/acs.molpharmaceut.5c01915},
pmid={41582526},
institution={Guangdong People's Hospital; Shanghai Institute of Materia Medica, CAS},
keywords={NTSR1; novel tracer; peptide}
}
@article{sun2025ultrafast,
title={Ultrafast multi-tracer total-body PET imaging using a transformer-based deep learning model},
author={Sun, Hao and Sanaat, Amirhossein and Yi, Wenxiang and Salimi, Yazdan and Huang, Yanchao and Decorads, Charles-Edouard and Castarède, Inès and Wu, Hubing and Lu, Lijun and Zaidi, Habib},
journal={Academic Radiology},
volume={32},
number={12},
pages={7499--7512},
year={2025},
doi={10.1016/j.acra.2025.08.015},
pmid={40885633},
institution={Geneva University Hospital; Southern Medical University; Nanfang Hospital},
keywords={deep learning; fast; image quality; FAPI; dual tracer}
}
@article{diFranco2025clinical,
title={Clinical added value of LAFOV PET/CT in patients undergoing same-day [18F]FDG SAFOV PET/CT scans: an initial experience report and explorative study},
author={Di Franco, Martina and Di Giorgio, Andrea and Cuzzani, Giulia and Farolfi, Andrea and Castellucci, Paolo and Nanni, Cristina and Fanti, Stefano},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
pages={2375--2386},
year={2026},
doi={10.1007/s00259-025-07611-6},
pmid={41134324},
institution={University of Bologna},
keywords={operation experience}
}
@article{duan2025quantification,
title={Quantification of 18F-FDG delivery rate for liver inflammation using shortened dynamic PET imaging protocols},
author={Duan, Xiaoyu and Sarkar, Souvik and Lyo, Victoria and Romeo, Sean and Spencer, Benjamin A and Matsukuma, Karen E and Medici, Valentina and Corwin, Michael T and Badawi, Ramsey D and Wang, Guobao},
journal={J. Nucl. Med.},
volume={66},
number={11},
pages={1834--1841},
year={2025},
doi={10.2967/jnumed.124.269434},
pmid={40967758},
institution={UC Davis},
keywords={kinetics; metabolism}
}
@article{li2026florbetazine,
title={Preclinical and preliminary clinical evaluation of [18F]Florbetazine for non-invasive PET detection of cardiac amyloidosis},
author={Li, Yuying and Pan, Meijie and Yu, Haonan and Zhang, Qilei and Chang, Yan and Zhao, Hailong and Wang, Jiaqi and Wang, Xiaoming and Dai, Jiapei and Yu, Lu and Chen, Dong and Zhang, Jinming and Yan, Xiao-Xin and Yao, Shaobo and Cui, Mengchao},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
pages={3364--3374},
year={2026},
doi={10.1007/s00259-025-07719-9},
pmid={41518400},
institution={Beijing Normal University; PLA General Hospital; Tianjin Medical University General Hospital},
keywords={novel tracer; cardiovascular; [18F]Florbetazine; small molecule}
}
@article{an2026trop2,
title={Total-body 18F-AlF-RESCA-T4 immuno-PET/CT in patients with solid tumors: initial experience and potential value in navigating clinical decision-making},
author={An, Shuxian and Zhang, You and Li, Lianghua and Wu, Qianyun and Jia, Wenzhi and Xu, Dongsheng and Wang, Cheng and Huang, Gang and Liu, Jianjun and Wei, Weijun},
journal={Journal of Nuclear Medicine and Molecular Imaging},
volume={1},
number={2},
year={2026},
doi={10.65457/JNMMI-2025-0017},
institution={Renji Hospital},
keywords={Trop2; novel tracer; nectin-4; nanobody}
}
@article{alongi2025rise,
title={The rise of total-body PET/CT: advancing molecular imaging toward early cancer detection and potential future application in prevention healthcare},
author={Alongi, Pierpaolo and Morea, Simone and Cannella, Roberto and Pugliesi, Rosa Alba and Messina, Carlo and Di Biagio, Daniele},
journal={Journal of Clinical Medicine},
volume={15},
number={1},
pages={311},
year={2025},
doi={10.3390/jcm15010311},
pmid={41517560},
institution={University of Palermo},
keywords={reviews}
}
@article{xie2025hybrid,
title={A hybrid curve-fitting method for radiation dosimetry evaluation and simultaneous multi-organ biodistribution assessment in total-body dynamic PET/CT: application to a novel PD-L1-targeted tracer},
author={Xie, Yunze and Tang, Wenxin and Zhang, Lichao and Liu, Guobing and Shi, Hongcheng},
journal={EJNMMI Physics},
volume={13},
pages={15},
year={2026},
doi={10.1186/s40658-025-00828-2},
pmid={41467970},
institution={Zhongshan Hospital},
keywords={dosimetry; PD-L1; novel tracer; immune; nanobody}
}
@article{ma2025ganglioneuroma,
title={18F-FDG PET/CT manifestations of extra-adrenal retroperitoneal ganglioneuroma: a retrospective study of 21 cases},
author={Ma, Huan and Xia, Lei and Liu, Daoning and Wang, Shujing and Zhang, Yan and Wu, Jianhui and Zhou, Nina},
journal={Annals of Nuclear Medicine},
volume={40},
number={4},
pages={444--454},
year={2026},
doi={10.1007/s12149-025-02149-x},
pmid={41420761},
institution={Beijing Cancer Hospital},
keywords={case}
}
@article{zhang2025tspo,
title={Translocator protein 18 kDa-targeted total-body PET imaging reveals immune-specific vascular inflammation in large-vessel vasculitis: a prospective head-to-head comparison with 18F-FDG},
author={Zhang, Min and Qian, Jinyi and Jia, Yingqi and Yu, Shuyi and Fan, Yuying and Pan, Haoyu and Wei, Xiaohan and Yang, Zhixia and Gu, Shiyan and Wu, Jianzhou and Zhou, Tiancheng and Wang, Yue and Wang, Jin and Chen, Yi and Teng, Jialin and Yang, Chengde and Li, Biao and Shi, Hui},
journal={J. Nucl. Med.},
volume={67},
number={3},
pages={438--444},
year={2026},
doi={10.2967/jnumed.125.270910},
pmid={41412737},
institution={Ruijin Hospital},
keywords={TSPO; novel tracer; inflammatory; small molecule}
}
@article{Tang2025ClinicallyGeneralizable,
title={Clinically generalizable low-dose CT denoising for pediatric imaging via enhanced diffusion posterior sampling},
author={Tang, Hongmei and Chen, Qianhao and Zhang, Qiyang and Cheng, Zhaoting and Wu, Yang and Song, Shuang and Zheng, Hairong and Liang, Dong and Hu, Zhanli and Zhu, Xiaohua and Zhang, Na},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={30},
number={7},
pages={5978--5991},
year={2026},
doi={10.1109/JBHI.2025.3642922},
pmid={41379899},
institution={SIAT, CAS; Tongji Hospital},
keywords={denoising; low dose; pediatrics; CT; deep learning}
}
@article{Ma2026CD70Targeted,
title={CD70-targeted [18F]RCCB6 immuno-PET/CT for diagnosing clear cell renal cell carcinoma metastases: a prospective study},
author={Ma, Cheng and Cao, Min and Li, Lianghua and Wu, Qianyun and Zhang, You and Xu, Dongsheng and An, Shuxian and Wu, Yanfei and Wang, Cheng and Guan, Yihui and Kong, Wen and Zhang, Jin and Xie, Fang and Zhai, Wei and Huang, Gang and Liu, Jianjun and Zhao, Xiaojing and Wei, Weijun},
journal={J. Nucl. Med.},
volume={67},
number={3},
pages={397--403},
year={2026},
doi={10.2967/jnumed.125.270958},
pmid={41381240},
institution={Renji Hospital},
keywords={novel tracer; renal; CD70; nanobody}
}
@article{Shao2025NeuralNetworkInput,
title={Neural network-aided unsupervised input function estimation for dual-time-window PET Patlak analysis},
author={Shao, Wenrui and Zhang, Yarong and Du, Fen and Cheng, Fangxiao and Chen, Yixin and Meng, Xiangxi and Liang, Ying and Xie, Zhaoheng},
journal={EJNMMI Physics},
volume={12},
number={1},
pages={100},
year={2025},
doi={10.1186/s40658-025-00804-w},
pmid={41359071},
institution={Peking University},
keywords={kinetics; input function; deep learning}
}
@article{He2025FeasibilityUptake,
title={Exploring the feasibility of a 40-minute uptake time for long axial field of view [18F]FDG PET/CT tumour scan: an evidence-based single-center study},
author={He, Yibo and Gao, Huaping and Yu, Haojun and Besson, Florent L and Nardo, Lorenzo and Lin, Yu and Al-Ibraheem, Akram and Wu, Hubing and Fan, Wei and Sathekge, Mike and Zhao, Xinming and Zheng, Jiefu and Rominger, Axel and Agostini, Denis and Tang, Wenxin and Yang, Runjun and Zhang, Yiqiu and Hu, Pengcheng and Wang, Ruimin and Xu, Baixuan and Yang, Zhi and Xie, Yunze and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
pages={3182--3194},
year={2026},
doi={10.1007/s00259-025-07663-8},
pmid={41350472},
institution={Zhongshan Hospital},
keywords={image quality}
}
@article{Tan2026TiDE,
title={TiDE-Net: A time-guided dual-encoder ResUNet for positron emission tomography (PET) image denoising},
author={Tan, Boyuan and Xue, Yuxin and Bi, Lei and Fulham, Michael and Kim, Jinman},
journal={Computer Methods and Programs in Biomedicine},
volume={275},
pages={109200},
year={2026},
doi={10.1016/j.cmpb.2025.109200},
pmid={41349436},
institution={University of Sydney},
keywords={denoising; low dose; deep learning}
}
@article{Yang2025esophageal,
title={Total-body PET/CT metabolic response in esophageal squamous cell carcinoma},
author={Yang, Runjun and Lu, Xinyi and Tang, Wenxin and Nardo, Lorenzo and Xie, Yunze and Al-Ibraheem, Akram and Zhang, Lichao and Zhao, Wenjin and Rominger, Axel and Tan, Lijie and Tang, Han and Fuad, Ida Nur Syafinaz Binti Muhammad and Suppiah, Subapriya and Cruz, Eric and Lin, Yu and Yu, Haojun and Shi, Hongcheng},
journal={Seminars in Nuclear Medicine},
volume={56},
number={1},
pages={72--85},
year={2026},
doi={10.1053/j.semnuclmed.2025.11.010},
pmid={41320614},
institution={Zhongshan Hospital},
keywords={reviews; esophageal cancer}
}
@article{Zhu2025NovelRadiotracerNTSR1,
title={A novel radiotracer for NTSR1-targeted PET imaging of tumor: preclinical and first-in-human studies},
author={Zhu, Jiamin and Yuan, Hui and Tan, Boyu and Liu, Xiufeng and Qian, Kun and Jiang, Yuanpeng and Li, Renda and Zhang, Wenqing and Qu, Chunrong and Cheng, Zhen and Jiang, Lei},
journal={Journal of Medicinal Chemistry},
volume={68},
number={23},
pages={25186--25197},
year={2025},
doi={10.1021/acs.jmedchem.5c02195},
pmid={41294013},
institution={Shanghai Tech; Guangdong People's Hospital; Shanghai Institute of Materia Medica, CAS},
keywords={novel tracer; lung cancer; NTSR1; peptide}
}
@article{Wu2025ApplicationOfPediatric,
title={Application of total-body PET in pediatric patients},
author={Wu, Ha and Lin, Yu and Yu, Haojun and Shi, Hongcheng},
journal={PET Clinics},
volume={21},
number={2},
pages={301--308},
year={2026},
doi={10.1016/j.cpet.2025.10.001},
pmid={41290462},
institution={Zhongshan Hospital; Fudan University Children's Hospital},
keywords={low dose; dynamic acquisition; pediatrics}
}
@article{Wang2025MetabolicNetworkLung,
title={Metabolic network analysis of lung adenocarcinoma and squamous cell carcinoma via static and dynamic total-body PET/CT imaging},
author={Wang, Haiyan and Guan, Zilong and Qu, Jiaxiang and Tao, Xuetong and Wu, Yaping and Liu, Ziwei and Chen, Zixiang and Luo, Fanting and Zhang, Na and Duan, Yanhua and Cheng, Zhaoping and Liang, Dong and Zheng, Hairong and Wang, Meiyun and Mok, Greta S P and Hu, Zhanli},
journal={Medical Physics},
volume={52},
number={12},
pages={e70147},
year={2025},
doi={10.1002/mp.70147},
pmid={41261060},
institution={SIAT, CAS; University of Macau; Henan People's Hospital},
keywords={lung cancer; dynamic acquisition; systems physiology}
}
@article{Zhang2025EarlyDynamic,
title={Feasibility of early dynamic 18F-FDG PET/CT imaging for predicting EGFR and TP53 mutations in lung adenocarcinoma},
author={Zhang, Ying and Liu, Guobing and Guan, Yingying and Li, Beilei and Zhang, Yiqiu},
journal={Molecular Imaging and Biology},
volume={27},
pages={966--975},
year={2025},
doi={10.1007/s11307-025-02059-4},
pmid={41239154},
institution={Zhongshan Hospital},
keywords={lung cancer; kinetics}
}
@article{Zheng2025AbbreviatedDynamic,
title={Abbreviated dynamic total-body 18F-FDG PET/CT protocols for predicting response in locally advanced non-small cell lung cancer via Patlak-Ki analysis},
author={Zheng, Shiyang and Zhou, Rui and Mo, Yiwen and Liu, Hui and Liu, Fangjie and Qiu, Bo and Zhang, Weiguang and Fan, Wei and Lin, Yishan and Wang, Daquan and Liu, Hui},
journal={Quantitative Imaging in Medicine and Surgery},
volume={15},
number={12},
pages={12152--12166},
year={2025},
doi={10.21037/qims-2025-327},
pmid={41367744},
institution={Sun Yat-Sen Cancer},
keywords={lung cancer; kinetics}
}
@article{Lu2025AorticCalcification,
title={Association between aortic calcification and primary intimal tear in type B aortic dissection},
author={Lu, Weihang and Cao, Long and Luan, Shaoliang and Zhang, Hongpeng and Guo, Wei},
journal={Annals of Vascular Surgery},
volume={123},
pages={627--635},
year={2025},
doi={10.1016/j.avsg.2025.10.037},
pmid={41207531},
institution={PLA General Hospital},
keywords={NaF; cardiovascular; case}
}
@article{Esquinas2026seeingmore,
title={Seeing more, treating smarter: Role of long-axial field-of-view PET/CT in the evolution of theranostics},
author={Esquinas, Pedro L and Yousefirizi, Fereshteh and Alberts, Ian L and Karakatsanis, Nicolas A and Rahmim, Arman and Uribe, Carlos F},
journal={PET Clinics},
volume={21},
number={1},
pages={43--54},
year={2026},
doi={10.1016/j.cpet.2025.09.007},
pmid={41173734},
institution={University of British Columbia},
keywords={reviews; dynamic acquisition; dosimetry; PBPK}
}
@article{Yang2026highnormal,
title={Benefits of high-normal-dose 18F-fluorodeoxyglucose PET/computed tomography imaging: a comparative study in total-body and short axial field-of-view PET/computed tomography systems},
author={Yang, Runjun and Xie, Yunze and Cai, Danjie and Lin, Yunhua and Yu, Han and Zheng, Zhe and He, Yan and Shi, Hongcheng},
journal={Nuclear Medicine Communications},
volume={47},
number={1},
pages={105--114},
year={2026},
doi={10.1097/MNM.0000000000002073},
pmid={41165136},
institution={Zhongshan Hospital},
keywords={image quality}
}
@article{bharathi2025transformativeadvances,
title={Transformative advances in PET imaging: from FDG to total body scanners, novel tracers and AI-driven precision medicine},
author={Bharathi, Praveen Gurunath and Abbaszadeh, Shiva and Moskal, Pawel and Alavi, Abass},
journal={Bio-Algorithms and Med-Systems},
volume={21},
number={1},
pages={40--57},
year={2025},
doi={10.5604/01.3001.0055.2175},
institution={UC Santa Cruz; Jagiellonian University; UPenn},
keywords={reviews; deep learning}
}
@article{dai2026vascularrelapse,
title={Vascular uptake on 18F-FDG PET/CT predicts relapse in new-onset PMR},
author={Dai, Ningqi and Sun, Xinyi and Meng, Linzi and Teng, Jialin and Yang, Chengde and Chen, Xiaoyue and Chi, Huihui},
journal={Rheumatology},
volume={65},
number={1},
year={2026},
doi={10.1093/rheumatology/keaf557},
pmid={41129291},
institution={Ruijin Hospital},
keywords={arteritis; cardiovascular; immune}
}
@article{xie2025optimalinputfunction,
title={Optimal image-derived input function models for multi-parameter analysis and acceptably reduced acquisition time in 18F-FAPI-42 PET total-body dynamic imaging for lung cancer},
author={Xie, Jiahao and Shi, Dazhi and Tang, Ganghua and Wang, Lijuan and Huang, Yanchao and Zhou, Kemin and Tian, Ying and Sun, Penghui and Han, Yanjiang and Wu, Hubing},
journal={EJNMMI Physics},
volume={12},
number={90},
pages={1--15},
year={2025},
doi={10.1186/s40658-025-00802-y},
pmid={41085946},
institution={Southern Medical University},
keywords={FAPI; lung cancer; kinetics; fast; input function}
}
@article{gu2025kiparametricimagingMP,
title={The feasibility of Ki parametric imaging in clinical dynamic 18F-FDG total-body PET using a simulated-data-driven machine learning algorithm},
author={Gu, Wenjian and Liu, Weiping and Yang, Wentong and Wang, Yihan and Liu, Ze and Zhu, Zhanshi and Li, Yanxiao and Xu, Tianyi and Shi, Hongcheng and Wang, Kuanquan and Luo, Gongning and Chen, Xiaojun and Zhou, Yun},
journal={Medical Physics},
year={2025},
doi={10.1002/mp.70053},
pmid={41076590},
institution={Harbin Institute of Technology; United Imaging},
keywords={kinetics; deep learning; image quality}
}
@article{chen2025clinicalutility,
title={The clinical utility of total-body [68Ga]Ga-PSMA-11 PET/CT in prostate cancer: identifying extra-regional bone metastases and informing treatment strategies},
author={Chen, Qiaochu and Wang, Wei and Wang, Yining and Dong, Liang and Zhao, Haitao and Li, Lianghua and Huang, Gang and Liu, Liu and Chen, Ruohua and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
number={3},
pages={1406--1418},
year={2026},
doi={10.1007/s00259-025-07581-9},
pmid={41051535},
institution={Renji Hospital},
keywords={prostate cancer; PSMA}
}
@article{zhang2025staginglungcancer,
title={Staging lung cancer: total-body PET/CT or whole-body PET/CT?},
author={Zhang, Xiaoxiang and Xie, Jiahao and Zheng, Yuzhao and Tian, Ying and Chen, Xiaohui and Chen, Li and Zhou, Kemin and Sun, Penghui and Zhou, Wenlan and Wu, Hubing},
journal={EJNMMI Research},
volume={15},
pages={129},
year={2025},
doi={10.1186/s13550-025-01317-4},
pmid={41060537},
institution={Nanfang Hospital},
keywords={lung cancer}
}
@article{ren2025pentixaforbiodistribution,
title={Physiological biodistribution of 68Ga-Pentixafor: PET/CT evaluation and implications for CXCR4 imaging},
author={Ren, Jingyun and Yuan, Hui and Chen, Yang and Wang, Peng and Yao, Xinchao and Zhang, Qing and Jiang, Lei},
journal={Japanese Journal of Radiology},
volume={44},
number={1},
pages={156--167},
year={2026},
doi={10.1007/s11604-025-01876-5},
pmid={41021182},
institution={Guangdong People's Hospital},
keywords={68Ga-Pentixafor; CXCR4; novel tracer; peptide}
}
@article{wang2025superiority,
title={Superiority of long axial field-of-view 68Ga-PSMA-11 PET over short axial field-of-view PET in prostate cancer: a head-to-head comparison},
author={Wang, Yining and Zhu, Lijing and Xu, Lian and Dong, Liang and Zhao, Haitao and Li, Lianghua and Huang, Gang and Chen, Ruohua and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
pages={1811--1821},
year={2026},
doi={10.1007/s00259-025-07546-y},
pmid={41014335},
institution={Renji Hospital; Jiading Central Hospital},
keywords={prostate cancer; PSMA; image quality}
}
@article{hu2025nasopharyngeal,
title={Potential values of uEXPLORER total-body PET/CT in nasopharyngeal carcinoma: dynamic imaging and kinetic parameters},
author={Hu, Yingying and Yang, Zhenchong and Liang, Liping and Shen, Jiayi and Zhao, Yumo and Lin, Jieyi and Zhang, Weiguang and Feng, Jiatai and Lv, Xiaofei and Jia, Guodong and Guo, Shanshan and Liu, Liting and Wang, Jingyi and Chen, Qiuyan and Fan, Wei and Tang, Linquan},
journal={European Journal of Radiology},
volume={193},
pages={112422},
year={2025},
doi={10.1016/j.ejrad.2025.112422},
pmid={40974693},
institution={Sun Yat-Sen Cancer},
keywords={nasopharyngeal; kinetics}
}
@article{liu2025neuroendocrinetumors,
title={Head-to-head comparison of [18F]AlF-NOTA-TATE and [68Ga]Ga-DOTA-TATE for diagnosing neuroendocrine tumors: a prospective, self-controlled, multicenter study},
author={Liu, Huanhuan and Ma, Guangyu and Wen, Hui and Xu, Xiaodan and Wu, Shina and Wang, Yuan and Pan, Yue and Zhang, Cong and Zhang, Jingfeng and Liu, Yachao and Dong, Yanliang and Dong, Zhouhuan and Zhang, Xiaojun and Wang, Ruimin and Zhang, Jinming},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
pages={1608--1619},
year={2026},
doi={10.1007/s00259-025-07532-4},
pmid={40938396},
institution={PLA General Hospital},
keywords={DOTATATE; neuroendocrine}
}
@article{yuan2025kineticmodeling,
title={Kinetic modeling and parametric imaging of 13N-NH3 in treatment-naïve lung cancer},
author={Yuan, Hui and Wang, Fanghu and Chen, Yang and Pan, Xiaoqiang and Zhang, Qing and Sun, Tao and Jiang, Lei},
journal={Molecular Pharmaceutics},
volume={12},
number={10},
pages={3345--3351},
year={2025},
doi={10.1021/acs.molpharmaceut.5c00602},
pmid={40514766},
institution={Guangdong People's Hospital; SIAT, CAS},
keywords={lung cancer; kinetics}
}
@article{xiao2025clinicalscanning,
title={Total-body 18F-FDG PET/CT: more choices to promote clinical scanning efficiency},
author={Xiao, Jie and Chen, Shuguang and Hou, Xiaoguang and Yu, Haojun and Liu, Siwei and Gu, Taoying and Liu, Guobing and Ge, Qi and Wang, Jingyi and Shi, Hongcheng},
journal={EJNMMI Research},
volume={15},
number={1},
pages={99},
year={2025},
doi={10.1186/s13550-025-01290-y},
pmid={40751859},
institution={Zhongshan Hospital},
keywords={fast; operation experience}
}
@article{gao2025totalbodymultiparametric,
title={Reconstruction of total-body multi parametric images with shortened-duration dynamic [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET scans},
author={Gao, Yunlong and Chen, Zixiang and Zhao, Wenjie and Yang, Yongfeng and Zheng, Hairong and Liang, Dong and Liu, Jianjun and Chen, Ruohua and Hu, Zhanli},
journal={Physics in Medicine \& Biology},
volume={70},
number={17},
pages={175019},
year={2025},
doi={10.1088/1361-6560/adfe33},
pmid={40840511},
institution={Renji Hospital; SIAT, CAS},
keywords={FAPI; PSMA; deep learning; kinetics}
}
@article{ma2025conjunctivalmelanoma,
title={Diagnostic value of 18F-FDG PET/CT in the follow-up of conjunctival melanoma},
author={Ma, Huan and Li, Chuangui and Zhang, Qian and Liu, Jiayue and Zhao, Wei and Guo, Xiaoyi and Zhou, Nina and Xue, Daxi},
journal={Annals of Nuclear Medicine},
volume={39},
number={12},
pages={1337--1346},
year={2025},
doi={10.1007/s12149-025-02097-6},
pmid={40815339},
institution={Beijing Cancer Hospital; Xi'an People's Hospital},
keywords={melanoma}
}
@article{mingels2025lymphomaresponse,
title={Lymphoma therapy response assessment with low-dose 18F-FDG total-body PET/CT},
author={Mingels, Clemens and Chung, Kevin J and Nalbant, Hande and Abdelhafez, Yasser G and Esteghamat, Naseem S and Rokni, Mehrad and Zoghi, Shervin and Tuscano, Joseph M and Rominger, Axel and Badawi, Ramsey D and Spencer, Benjamin A and Nardo, Lorenzo},
journal={J. Nucl. Med.},
volume={66},
number={9},
pages={1338--1344},
year={2025},
doi={10.2967/jnumed.124.268841},
pmid={40813234},
institution={UC Davis; University of Bern},
keywords={lymphoma; low dose},
month={Sep}
}
@article{huang2025dualPETCTpediatriclymphoma,
title={Significant dose reduction employing dual-low-dose PET/CT in pediatric lymphoma: maintaining diagnostic, staging, and response-assessing efficacy},
author={Huang, Yuqian and Tang, Si and Wang, Tianquan and Li, Shatong and Cao, Liuyi and Chen, Wanqi and Liu, Lei and Wu, Tingfan and Zhao, Yumo and Fan, Wei and Li, Yinghe and Zhang, Yizhuo and Hu, Yingying},
journal={European Radiology},
volume={36},
pages={1240--1252},
year={2026},
doi={10.1007/s00330-025-11847-z},
pmid={40815306},
institution={Sun Yat-Sen Cancer; United Imaging},
keywords={low dose; pediatrics; lymphoma; image quality; reconstruction}
}
@article{xie2025deeplearningpdl1esophageal,
title={Deep learning-based non-invasive prediction of PD-L1 status and immunotherapy survival stratification in esophageal cancer using [18F]FDG PET/CT},
author={Xie, Fei and Zhang, Mobei and Zheng, Chunhong and Zhao, Zhenwei and Wang, Jiarou and Li, Yufan and Wang, Kai and Wang, Wenzhuo and Lin, Junjie and Wu, Tingting and Wang, Yifan and Chen, Xi and Li, Yongchao and Zhu, Zhaohui and Wu, Hubing and Li, Yinfeng and Liu, Qingxing},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
pages={1015--1028},
year={2026},
doi={10.1007/s00259-025-07463-0},
pmid={40810801},
institution={Nanfang Hospital; Xidian University},
keywords={esophageal cancer; deep learning; PD-L1; immune}
}
@article{chen2025imagederivedinput,
title={Differences between the image-derived input functions of the descending aorta and carotid artery in brain pharmacokinetic parametric analysis},
author={Chen, Zixiang and Wu, Yaping and Li, Bolun and Che, Zengyang and Jin, Yuxi and Chen, Lingxin and Yang, Yongfeng and Zheng, Hairong and Liang, Dong and Wang, Meiyun and Hu, Zhanli},
journal={British Journal of Radiology},
volume={98},
number={1174},
pages={1642--1649},
year={2025},
doi={10.1093/bjr/tqaf166},
pmid={40694368},
institution={United Imaging},
keywords={neural; kinetics; input function}
}
@article{han2025psmadeeplearning,
title={Dynamic 68Ga-PSMA total-body PET dual parametric imaging based on W-Net and an improved diffusion model},
author={Han, Jidong and Huang, Meiyong and Liu, Yu and Gao, Yunlong and Chen, Lingxin and Yang, Xinlan and Liu, Jianjun and Liang, Dong and Chen, Ruohua and Hu, Zhanli},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
volume={10},
number={3},
pages={391--400},
year={2026},
doi={10.1109/TRPMS.2025.3589603},
institution={SIAT, CAS; Renji Hospital},
keywords={PSMA; deep learning; kinetics; dual tracer}
}
@article{jin2025predictivePDL1,
title={The predictive value of total body PET/CT in high PD-L1 expression and immunotherapy in advanced non-small cell lung cancer patients},
author={Jin, Huibin and Hu, Bingxin and Zhang, Jie and Long, Ye and Xuan, Ang and Wu, Xinyu and Xu, Junling and Gao, Yongju},
journal={Frontiers in Oncology},
volume={15},
pages={1578419},
year={2025},
doi={10.3389/fonc.2025.1578419},
pmid={40672750},
institution={Henan People's Hospital},
keywords={lung cancer; PD-L1; immune}
}
@article{lin2025dualtracer,
title={[18F]FDG and [68Ga]Ga-PSMA dual-tracer total-body PET/CT and PET/MR in patients with prostate cancer},
author={Lin, Yu and Gao, Huaping and Xie, Yunze and Shi, Hongcheng},
journal={Quarterly Journal of Nuclear Medicine and Molecular Imaging},
volume={69},
number={2},
year={2025},
doi={10.23736/S1824-4785.25.03637-4},
pmid={40605659},
institution={Zhongshan Hospital},
keywords={dual tracer; PSMA; prostate cancer; PET/MR; low dose; reviews}
}
@article{long2024gepnen,
title={68Ga-DOTATATE联合18F-FDG PET/CT显像在胃肠胰神经内分泌肿瘤分期及治疗决策中的价值},
author={龙浩 and 梁陈 and 李诗 and 樊帅 and 吴湖炳 and 欧阳若云},
journal={南方医科大学学报},
volume={45},
number={6},
pages={1212--1219},
year={2025},
doi={10.12122/j.issn.1673-4254.2025.06.10},
pmid={40579134},
institution={Nanfang Hospital},
keywords={neuroendocrine; DOTATATE}
}
@article{chaudhari2025psoriaticarthritis,
title={Beyond skin deep: total-body positron emission tomography to illuminate systemic inflammation in psoriatic arthritis},
author={Chaudhari, Abhijit J and Abdelhafez, Yasser G and Nardo, Lorenzo and Raychaudhuri, Siba P},
journal={Current Opinion in Immunology},
volume={95},
pages={102587},
year={2025},
doi={10.1016/j.coi.2025.102587},
pmid={40543379},
institution={UC Davis},
keywords={arthritis; inflammatory; reviews}
}
@article{sutherland2025totalbody,
title={Total-body positron emission tomography imaging to accelerate radiotracer discovery pipelines},
author={Sutherland, Andrew and Dweck, Marc R and Newby, David E and Tavares, Adriana AS},
journal={Pharmacological Reviews},
volume={77},
number={4},
pages={100066},
year={2025},
doi={10.1016/j.pharmr.2025.100066},
pmid={40505474},
institution={University of Glasgow; University of Edinburgh},
keywords={reviews}
}
@article{tao2025metaboliclandscape,
title={Exploring the metabolic landscape of lung adenocarcinoma and squamous cell carcinoma: a total-body 18F-FDG PET/CT approach},
author={Tao, Xuetong and Wang, Haiyan and Qu, Jiaxiang and Chen, Zixiang and Wu, Yaping and Chen, Ruohua and Liu, Jianjun and Zhang, Na and Zheng, Hairong and Liang, Dong and Wang, Meiyun and Hu, Zhanli},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={53},
number={1},
pages={142--157},
year={2025},
doi={10.1007/s00259-025-07371-3},
pmid={40457067},
institution={SIAT, CAS; University of Macau; Henan People's Hospital; Renji Hospital},
keywords={lung cancer; systems physiology; dynamic acquisition}
}
@article{jiajin2024halfdose,
title={半剂量18F-FDG深吸气屏气全身PET/CT在改善胸上腹肿瘤病灶对位不佳中的价值},
author={贾进 and 原可卿 and 刘猛 and 胡莹莹 and 樊卫 and 周超 and 张伟光},
journal={中华核医学与分子影像杂志},
volume={45},
number={5},
pages={281--287},
year={2025},
doi={10.3760/cma.j.cn321828-20240607-00198},
institution={Sun Yat-Sen Cancer},
keywords={breath hold}
}
@article{gaolin2024largearteritis,
title={短时间18F-脱氧葡萄糖全身动态PET-CT扫描对大动脉炎的诊断价值},
author={高琳 and 张晶 and 段艳华 and 崔晓 and 岳慧鑫 and 李坤 and 李慧 and 程召平},
journal={中华医学杂志},
volume={105},
number={22},
pages={1820--1826},
year={2025},
doi={10.3760/cma.j.cn112137-20250422-00995},
pmid={40484843},
institution={Qianfoshan Hospital},
keywords={cardiovascular; dynamic acquisition}
}
@article{cao2025comparative,
title={Comparative study of total-body PET and PET/MR in the diagnosis of liver metastases},
author={Cao, Junxia and Xuanyuan, Yirui and You, Yang and Zhang, Weifeng and Xuan, Amg},
journal={Frontiers in Oncology},
volume={15},
pages={1519107},
year={2025},
doi={10.3389/fonc.2025.1519107},
pmid={40438693},
institution={Henan People's Hospital},
keywords={PET/MR; liver lesion}
}
@article{choudhary2025crystalsperformance,
title={Comparative performance analysis of crystals in total-body PET scanners: Monte-Carlo simulation study with different materials and geometry},
author={Choudhary, Deepa and Nag, Somnath},
journal={Journal of Instrumentation},
volume={20},
number={05},
pages={P05015},
year={2025},
doi={10.1088/1748-0221/20/05/P05015},
institution={Banaras Hindu University},
keywords={simulation}
}
@article{bhattarai2025kineticPI2620,
title={Kinetic modeling of 18F-PI-2620 binding in the brain using an image-derived input function with total-body PET},
author={Bhattarai, Anjan and Holy, Emily Nicole and Wang, Yiran and Spencer, Benjamin A and Wang, Guobao and DeCarli, Charles S and Fan, Audrey P},
journal={EJNMMI Research},
volume={15},
number={1},
pages={62},
year={2025},
doi={10.1186/s13550-025-01260-4},
pmid={40445477},
institution={UC Davis},
keywords={18F-PI-2620; novel tracer; kinetics; neural; small molecule}
}
@article{sun2025brainmetabolism,
title={The brain-white adipose tissue axis may play a crucial role in diabetes mellitus: a metabolic network analysis using total-body PET/CT imaging},
author={Sun, Lubing and Wu, Yaping and Yang, Junpeng and Liang, Junting and Li, Panlong and Yu, Xuan and Meng, Nan and Sun, Tao and Wang, Meiyun and Chen, Chuanliang},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={13},
pages={5150--5164},
year={2025},
doi={10.1007/s00259-025-07337-5},
pmid={40392299},
institution={Henan People's Hospital; SIAT, CAS},
keywords={systems physiology; neural}
}
@article{fu2025first,
title={First clinical investigation to predict lymphovascular and/or perineural invasion in gastric cancer using 18F-FAPI-42 PET/CT parameters},
author={Fu, Lilan and Xie, Fei and Sun, Penghui and Dong, Ye and Zhou, Kemin and Jiang, Li and Wu, Ruihe and Han, Yanjiang and Wu, Hubing and Tang, Ganghua and Zhou, Wenlan},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={13},
pages={4778--4787},
year={2025},
doi={10.1007/s00259-025-07325-9},
pmid={40387910},
institution={Nanfang Hospital},
keywords={FAPI; gastric cancer}
}
@article{dai2025multipleximagingamyloid,
title={Multiplex imaging of amyloid-$\beta$ plaques dynamics in living brains with quinoline-malononitrile-based probes},
author={Dai, Jianfeng and Wei, Weijun and Yan, Chenxu and Ji, Ding-Kun and Liu, Caiqi and Huang, Jialiang and Liang, Chenyi and Liu, Jianjun and Guo, Zhiqian and Zhu, Wei-Hong},
journal={Nature Biomedical Engineering},
volume={9},
number={10},
pages={1632--1644},
year={2025},
doi={10.1038/s41551-025-01392-x},
pmid={40360763},
institution={Renji Hospital; East China University of Science and Technology},
keywords={neural; preclinical}
}
@article{yang2024fapilungcancer,
title={Early 10-minute postinjection [18F]F-FAPI-42 uEXPLORER total-body PET/CT scanning protocol for staging lung cancer using HYPER iterative reconstruction},
author={Yang, Hanyun and Wang, Lijuan and Tang, Ganghua and Zhou, Wenlan and Tian, Ying and Zhang, Yin and Huang, Yanchao and Chen, Li and Wang, Meng and Han, Yanjiang and Wu, Hubing},
journal={Journal of Nuclear Medicine Technology},
volume={53},
number={3},
pages={230--238},
year={2025},
doi={10.2967/jnmt.125.269735},
pmid={40345824},
institution={Nanfang Hospital},
keywords={FAPI; lung cancer; HYPER}
}
@article{zhong2025directionalinteractions,
title={Directional interactions from non-small cell lung cancer to brain glucose metabolism revealed by total-body PET imaging},
author={Zhong, Tianzheng and Duan, Yanhua and Li, Kun and Qiu, Jianfeng and Cheng, Zhaoping and Lu, Weizhao},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={12},
pages={4467--4476},
year={2025},
doi={10.1007/s00259-025-07324-w},
pmid={40342105},
institution={Qianfoshan Hospital},
keywords={lung cancer; neural; systems physiology}
}
@article{guo2025her2bch,
title={Al18F-NOTA-HER2-BCH versus 18F-FDG PET/CT in evaluating newly diagnosed HER2-low breast cancer patients},
author={Guo, Xiaoyi and Liang, Xu and Li, Ben and Mao, Yan and Zhou, Nina and Liu, Jiayue and Yang, Guangjie and Wang, Zhenguang and Song, Guohong and Yang, Zhi},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={11},
pages={4044--4053},
year={2025},
doi={10.1007/s00259-025-07251-w},
pmid={40208315},
institution={Beijing Cancer Hospital; Affiliated Hospital of Qingdao University},
keywords={breast cancer; HER2}
}
@article{li2025patlakplot,
title={Total-body parametric imaging using relative patlak plot},
author={Li, Siqi and Abdelhafez, Yasser G and Nardo, Lorenzo and Cherry, Simon R and Badawi, Ramsey D and Wang, Guobao},
journal={J. Nucl. Med.},
volume={66},
number={4},
pages={654--661},
year={2025},
doi={10.2967/jnumed.124.268496},
pmid={40015921},
institution={UC Davis},
keywords={kinetics; deep learning}
}
@article{wen2025parametricKi,
title={Diffusion-based model for parametric Ki generation from total-body dynamic PET of short-duration scan},
author={Wen, Meiyuan and Wu, Yaping and Huang, Zhenxing and He, Xiangjian and Tesema, Fiseha B and Chen, Zixiang and Gao, Yunlong and Li, Wenbo and Yang, Xinlan and Yang, Yongfeng and Zheng, Hairong and Liang, Dong and Wang, Meiyun and Hu, Zhanli},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
volume={10},
number={1},
pages={16--25},
year={2026},
doi={10.1109/TRPMS.2025.3566556},
institution={SIAT, CAS; University of Nottingham Ningbo China; Henan People's Hospital},
keywords={kinetics; deep learning}
}
@article{Chen2025imagequalitydeeplearning,
title={Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm},
author={Chen, Zhihao and Yang, Hongxing and Qi, Ming and Chen, Wen and Liu, Fei and Song, Shaoli and Zhang, Jianping},
journal={Cancer Imaging},
volume={25},
number={1},
pages={58},
year={2025},
doi={10.1186/s40644-025-00877-x},
pmid={40312739},
institution={Fudan University Shanghai Cancer Center},
keywords={deep learning; image quality; DPR; BMI}
}
@article{Chung2025BloodFlowKinetics,
title={Quantitative total-body imaging of blood flow with high-temporal-resolution early dynamic 18F-FDG PET kinetic modeling},
author={Chung, Kevin J and Chaudhari, Abhijit J and Nardo, Lorenzo and Jones, Terry and Chen, Moon S Jr and Badawi, Ramsey D and Cherry, Simon R and Wang, Guobao},
journal={J. Nucl. Med.},
volume={66},
number={6},
pages={973--980},
year={2025},
doi={10.2967/jnumed.124.268706},
pmid={40306973},
institution={UC Davis},
keywords={kinetics; butanol; perfusion}
}
@article{Peng2025gastriccancer,
title={Preoperative assessment and prognostic prediction of gastric cancer patients with peritoneal metastasis using 18F-FDG PET/CT before conversion surgery},
author={Peng, Yao and Shi, Min and Xiong, Daxi and Lu, Sheng and Miao, Ying and Yuan, Hong and Yan, Chao and Zhu, Zhenggang and Li, Biao and Yang, Zhongyin and Hu, Jiajia},
journal={EJNMMI Research},
volume={15},
number={1},
pages={46},
year={2025},
doi={10.1186/s13550-025-01244-4},
pmid={40257553},
institution={Ruijin Hospital; Baoshan People's Hospital},
keywords={gastric cancer}
}
@article{zhang2025DPRimagequality,
title={Comparison of 18F-FDG PET image quality and quantitative parameters between DPR and OSEM reconstruction algorithm in patients with lung cancer},
author={Zhang, Ziyi and Han, Wei and Lyu, Zhehao and Zhao, Hongyue and Wang, Xi and Zhang, Xinyue and Wang, Zeyu and Fu, Peng and Zhao, Changjiu},
journal={EJNMMI Physics},
volume={12},
number={1},
pages={39},
year={2025},
doi={10.1186/s40658-025-00748-1},
pmid={40237894},
institution={1st Affiliated Hospital Harbin Medical University; Honghui Hospital},
keywords={DPR; deep learning; image quality; lung cancer}
}
@article{yao2025machinelearninglungcancer,
title={Leveraging machine learning with dynamic 18F-FDG PET/CT: integrating metabolic and flow features for lung cancer differential diagnosis},
author={Yao, Zhiheng and Wang, Yubo and Wu, Yaping and Zhou, Jinpeng and Dang, Na and Wang, Meiyun and Liang, Ying and Sun, Tao},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={10},
pages={3807--3819},
year={2025},
doi={10.1007/s00259-025-07231-0},
pmid={40183949},
institution={SIAT, CAS; Shenzhen Cancer Hospital; Henan People's Hospital},
keywords={deep learning; lung cancer; kinetics}
}
@article{hu2025pulmonarylesions,
title={Hypermetabolic pulmonary lesions detection and diagnosis based on PET/CT imaging and deep learning models},
author={Hu, Jiajia and Cheng, Ran and Quan, Meilin and Peng, Yao and Yang, Zi and Zhang, Qing and Ji, Faquan and Chen, Yangchun and Li, Biao and Wen, Ning},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={10},
pages={3792--3806},
year={2025},
doi={10.1007/s00259-025-07215-0},
pmid={40183951},
institution={Ruijin Hospital; Shanghai Pulmonary Hospital},
keywords={deep learning; lung cancer; lymphoma}
}
@article{qiao2025impactDeauville,
title={Impact of a deep progressive reconstruction algorithm on low-dose or fast-scan PET image quality and Deauville score in patients with lymphoma},
author={Qiao, Wenli and Wang, Taisong and Yi, Hongyuan and Li, Xuebing and Lv, Yang and Xi, Chen and Wu, Runze and Wang, Ying and Yu, Ye and Xing, Yan and Zhao, Jinhua},
journal={EJNMMI Physics},
volume={12},
pages={33},
year={2025},
doi={10.1186/s40658-025-00739-2},
pmid={40169444},
institution={Shanghai General Hospital},
keywords={lymphoma; deep learning; DPR}
}
@article{rizwan2025petatherosclerosis,
title={PET imaging of atherosclerosis: artificial intelligence applications and recent advancements},
author={Rizwan, Shaheer and Ayubcha, Cyrus and Al-Daoud, Omar and Al-Atout, Mamdouh and Amiruddin, Raisa and Werner, Thomas J and Alavi, Abass},
journal={Nuclear Medicine Communications},
volume={46},
number={6},
pages={503--514},
year={2025},
doi={10.1097/MNM.0000000000001973},
pmid={40143664},
institution={Robert Wood Johnson Medical School; Harvard Medical School; UPenn},
keywords={atherosclerosis; deep learning; NaF}
}
@article{zhang2025fullyAutomatedIQA,
title={A fully automated, expert-perceptive image quality assessment system for whole-body [18F]FDG PET/CT},
author={Zhang, Cong and Gao, Xin and Zheng, Xuebin and Xie, Jun and Feng, Gang and Bao, Yunchao and Gu, Pengchen and He, Chuan and Wang, Ruimin and Tian, Jiahe},
journal={EJNMMI Research},
volume={15},
number={1},
pages={42},
year={2025},
doi={10.1186/s13550-025-01238-2},
pmid={40249445},
institution={PLA General Hospital; Shanghai Universal Medical Imaging; Shanghai Aitrox Technology},
keywords={deep learning; image quality}
}
@article{mingels2025diagnostic,
title={Diagnostic accuracy in NSCLC lymph node staging with total-body and conventional PET/CT},
author={Mingels, Clemens and Madani, Mohammad H and Sen, Fatma and Nalbant, Hande and Riess, Jonathan W and Abdelhafez, Yasser G and Ghasemiesfe, Ahmadreza and Rominger, Axel and Guindani, Michele and Badawi, Ramsey D and Spencer, Benjamin A and Nardo, Lorenzo},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={9},
pages={3190--3198},
year={2025},
doi={10.1007/s00259-025-07177-3},
pmid={40113643},
institution={UC Davis; University of Bern; South Egypt Cancer Institute; University of California Los Angeles},
keywords={lung cancer}
}
@article{salimi2025deepnnunet,
title={Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model},
author={Salimi, Yazdan and Mansouri, Zahra and Sun, Chang and Sanaat, Amirhossein and Yazdanpanah, Mohammadhossein and Shooli, Hossein and Nkoulou, Ren{\'e} and Boudabbous, Sana and Zaidi, Habib},
journal={La Radiologia Medica},
volume={130},
number={5},
pages={723--739},
year={2025},
doi={10.1007/s11547-025-01989-x},
pmid={40100539},
institution={Geneva University Hospital; University of Groningen},
keywords={CT; deep learning; segmentation}
}
@article{chen2025predictingspread,
title={Predicting the spread through air spaces in lung adenocarcinoma from preoperative 18F-FDG PET/CT radiomics},
author={Chen, Xiaohui and Qi, Hongliang and Zou, Yijin and Chen, Ye and Li, Hanwei and Hu, Debin and Jiang, Li and Wang, Meng and Chen, Li and Chen, Hongwen and Wu, Hubing},
journal={Nuclear Medicine Communications},
volume={46},
number={6},
pages={570--578},
year={2025},
doi={10.1097/MNM.0000000000001975},
pmid={40099373},
institution={Nanfang Hospital},
keywords={lung cancer; radiomics}
}
@article{gao2025dualpromptenhanced,
title={Dual-prompt-enhanced multiorgan segmentation model for total-body PET images},
author={Gao, Yunlong and Huang, Zhenxing and Wu, Yaping and Li, Wenbo and Wen, Meiyuan and Zhao, Wenjie and Yang, Qianyi and Cheng, Chuanli and Yang, Xinlan and Yang, Yongfeng and Zheng, Hairong and Liang, Dong and Wang, Meiyun and Hu, Zhanli},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
volume={9},
number={8},
pages={1062--1073},
year={2025},
doi={10.1109/TRPMS.2025.3551755},
institution={SIAT, CAS; Henan People's Hospital; United Imaging},
keywords={CT-free; deep learning; segmentation}
}
@article{chen2025preclinicalPDL1P,
title={Preclinical and first-in-human evaluation of [68Ga]Ga-DOTA-PEG2-Asp2-PDL1P PET imaging to assess tumor PD-L1 expression},
author={Chen, Yang and Hu, Yinting and Li, Ao and Zhang, Guojin and Guo, Danyi and Yao, Xinchao and Zeng, Baozhen and Tang, Ganghua and Jiang, Benyuan and Jiang, Lei},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={9},
pages={3278--3290},
year={2025},
doi={10.1007/s00259-025-07173-7},
pmid={40029371},
institution={Guangdong People's Hospital; Nanfang Hospital},
keywords={novel tracer; lung cancer; immune; PD-L1; PDL1P; peptide}
}
@article{zhang202513n13myocaridal,
title={13N-NH3 myocardial perfusion imaging with reduced scan duration: a feasibility study in the era of total-body PET/CT},
author={Zhang, Xiaochun and Xiang, Zeyin and Wang, Fanghu and Pan, Xiaoqiang and Zhang, Qing and Wang, Peng and Jiang, Lei and Yuan, Hui},
journal={EJNMMI Physics},
volume={12},
number={1},
pages={18},
year={2025},
doi={10.1186/s40658-025-00729-4},
pmid={40032742},
institution={Guangdong People's Hospital},
keywords={cardiovascular; ammonia; fast}
}
@article{wang2025dataultrafast,
title={Data-efficient generalization of AI transformers for noise reduction in ultra-fast lung PET scans},
author={Wang, Jiale and Zhang, Xinyu and Miao, Ying and Xue, Song and Zhang, Yu and Shi, Kuangyu and Guo, Rui and Li, Biao and Zheng, Guoyan},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={8},
pages={3036--3050},
year={2025},
doi={10.1007/s00259-025-07165-7},
pmid={40009163},
institution={Ruijin Hospital; University of Bern; Technical University of Munich},
keywords={deep learning; denoising; breath hold; fast}
}
@article{wang2025robust,
title={Robust and generalizable artificial intelligence for multi-organ segmentation in ultra-low-dose total-body PET imaging: a multi-center and cross-tracer study},
author={Wang, Hanzhong and Qiao, Xiaoya and Ding, Wenxiang and Chen, Gaoyu and Miao, Ying and Guo, Rui and Zhu, Xiaohua and Cheng, Zhaoping and Xu, Jiehua and Li, Biao and Huang, Qiu},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={8},
pages={3004--3018},
year={2025},
doi={10.1007/s00259-025-07156-8},
pmid={39969540},
institution={Ruijin Hospital; Tongji Hospital; Qianfoshan Hospital; Zhuhai People's Hospital},
keywords={deep learning; segmentation; FAPI; PSMA; DOTATATE; 68Ga-grazytracer}
}
@article{charron2025evaluatingPluvicto,
title={Evaluating the efficacy and safety of Pluvicto in chemotherapy-ineligible nonagenarians: A descriptive case series},
author={Charron, Jacob and Maupin, Kevin and Su, Chrystal and Mancini, Brandon and Kulkarni, Harshad},
journal={Cureus},
volume={17},
number={2},
pages={e79119},
year={2025},
doi={10.7759/cureus.79119},
pmid={40109836},
institution={BAMF Health; Michigan State University},
keywords={PSMA; prostate cancer; PRLT; case}
}
@article{liu2025comparison,
title={Comparison of 64Cu-DOTA-PSMA-3Q and 64Cu-NOTA-PSMA-3Q utilizing NOTA and DOTA as bifunctional chelators in prostate cancer: preclinical assessment and preliminary clinical PET/CT imaging},
author={Liu, Huanhuan and Zhang, Xiaojun and Zhang, Jingfeng and Pan, Yue and Wen, Hui and Xu, Xiaodan and Wu, Shina and Wang, Yuan and Zhang, Cong and Ma, Guangyu and Liu, Yachao and Wang, Ruimin and Zhang, Jinming},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={8},
pages={2792--2803},
year={2025},
doi={10.1007/s00259-025-07131-3},
pmid={39954062},
institution={PLA General Hospital},
keywords={PSMA; prostate cancer; novel tracer; small molecule}
}
@article{fu2025high_voxel_filter,
title={High-temporal-resolution dynamic PET imaging based on a kinetic-induced voxel filter},
author={Fu, Liwen and Chen, Zixiang and Duan, Yanhua and Cheng, Zhaoping and Chen, Lingxin and Yang, Yongfeng and Zheng, Hairong and Liang, Dong and Pang, Zhifeng and Hu, Zhanli},
journal={Physics in Medicine \& Biology},
volume={70},
number={4},
pages={045024},
year={2025},
doi={10.1088/1361-6560/adae4e},
pmid={39943839},
institution={SIAT, CAS; Henan University; Qianfoshan Hospital},
keywords={dynamic acquisition; denoising}
}
@article{luo2025weight,
title={Weight-adaptive network with CT enhancement for short-duration PET imaging utilizing the uEXPLORER total-body system},
author={Luo, Fanting and Tang, Hongyan and Li, Wenbo and Wang, Haiyan and Chen, Ruohua and Liu, Jianjun and Zhou, Chao and Zhang, Xu and Fan, Wei and Zhao, Yumo and Yang, Yongfeng and Liu, Shengping},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
volume={9},
number={6},
pages={800--814},
year={2025},
doi={10.1109/TRPMS.2025.3540112},
institution={SIAT, CAS},
keywords={deep learning; low dose; denoising}
}
@article{lin2025eliminating,
title={Eliminating the second CT scan of dual-tracer total-body PET/CT via deep learning-based image synthesis and registration},
author={Lin, Yu and Wang, Kang and Zheng, Zhe and Yu, Haojun and Chen, Shuguang and Tang, Wenxin and He, Yibo and Gao, Huaping and Yang, Runjun and Xie, Yunzhe and Yang, Junjie and Hou, Xiaoguang and Wang, Shuo and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={7},
pages={2589--2604},
year={2025},
doi={10.1007/s00259-025-07113-5},
pmid={39932542},
institution={Zhongshan Hospital},
keywords={deep learning; dual tracer; PSMA; prostate cancer; attenuation}
}
@article{cheng2025leveraging,
title={Leveraging small voxel with optimal acquisition time for [18F]mFBG total-body PET/CT imaging in pediatric patients with neuroblastoma: a preliminary study},
author={Cheng, Zhaoting and Deng, Xiaoyun and Song, Shuang and Wu, Yang and Tang, Hongmei and Zou, Sijuan and Zhu, Yuankai and Liu, Aiguo and Zhu, Xiaohua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={7},
pages={2397--2413},
year={2025},
doi={10.1007/s00259-025-07098-1},
pmid={39888420},
institution={Tongji Hospital},
keywords={pediatrics; neuroblastoma; neural; small voxel; novel tracer; small molecule}
}
@article{levital2025nonparametric,
title={Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment},
author={Fichmann Levital, Maya and Khawaled, Samah and Kennedy, John A and Freiman, Moti},
journal={Medical \& Biological Engineering \& Computing},
volume={63},
pages={1715--1730},
year={2025},
doi={10.1007/s11517-025-03296-z},
pmid={39847156},
institution={Technion; Rambam Health Care Campus},
keywords={deep learning; low dose; denoising}
}
@article{wang202518f_fapi_kinetics,
title={[18F]F-FAPI-42 PET dynamic imaging characteristics and multiparametric quantification of lung cancer: an exploratory study using uEXPLORER PET/CT},
author={Wang, Lijuan and Pan, Xingzhu and Ye, Shimin and Huang, Yanchao and Wang, Meng and Chen, Li and Zhou, Kemin and Han, Yanjiang and Wu, Hubing},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
pages={1685--1694},
year={2025},
doi={10.1007/s00259-024-07064-3},
pmid={39760863},
institution={Nanfang Hospital},
keywords={FAPI; lung cancer; kinetics}
}
@article{gu2024improvedPatlak,
title={An improved Patlak-based Ki parametric imaging approach for clinical 18F-FDG total-body PET},
author={Gu, Wenjian and Zhu, Zhanshi and Liu, Ze and Wang, Yihan and Li, Yanxiao and Xu, Tianyi and Liu, Weiping and Wang, Kuanquan and Luo, Gongning and Zhou, Yun},
journal={Physics in Medicine \& Biology},
volume={70},
pages={015017},
year={2025},
doi={10.1088/1361-6560/ad9ce4},
pmid={39657322},
institution={Harbin Institute of Technology; United Imaging; Shanghai Tech},
keywords={kinetics}
}
@article{cook2024impactLAFOV,
title={The impact of long axial field of view (LAFOV) PET on oncologic imaging},
author={Cook, Gary JR and Alberts, Ian L and Wagner, Thomas and Fischer, B Malene and Nazir, Muhummad Sohaib and Lilburn, David},
journal={European Journal of Radiology},
volume={183},
number={2},
pages={111873},
year={2025},
doi={10.1016/j.ejrad.2024.111873},
pmid={39647272},
institution={King's College London; University of British Columbia},
keywords={reviews}
}
@article{chen2024semiquantitativeFAPI_FDG,
title={Semiquantitative muscle parameters derived from FAPI and FDG PET/CT in evaluating sarcopenia among patients with malignant tumors},
author={Chen, Yang and Zhang, Qing and Hu, Yinting and Liu, Entao and Tan, Xiaoyue and Yuan, Hui and Jiang, Lei},
journal={Nuclear Medicine Communications},
volume={46},
number={3},
pages={260--267},
year={2025},
doi={10.1097/MNM.0000000000001945},
pmid={39659222},
institution={Guangdong People's Hospital},
keywords={FAPI; sarcopenia}
}
@article{chen2024distinguishingFAPI04Dyn,
title={Distinguishing benign from malignant lesions with high [68Ga]Ga-FAPI-04 uptake in oncology patients: Insights from dynamic total-body [68Ga]Ga-FAPI-04 PET/CT},
author={Chen, Ruohua and Yang, Xinlan and Li, Lianghua and Zhao, Haitao and Huang, Gang and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={4},
pages={1345--1353},
year={2025},
doi={10.1007/s00259-024-07029-6},
pmid={39665998},
institution={Renji Hospital},
keywords={FAPI; kinetics}
}
@article{zhang2024realizationhqlq,
title={Realization of high-end PET devices that assist conventional PET devices in improving image quality via diffusion modeling},
author={Zhang, Qiyang and Zhou, Chao and Zhang, Xu and Fan, Wei and Zheng, Hairong and Liang, Dong and Hu, Zhanli},
journal={EJNMMI Physics},
volume={11},
number={1},
pages={103},
year={2024},
doi={10.1186/s40658-024-00706-3},
pmid={39692956},
institution={SIAT, CAS; Sun Yat-Sen Cancer},
keywords={deep learning; denoising}
}
@article{raychaudhuri2025totalbody,
title={Total-body positron emission tomography: a tool for systemic, quantitative evaluation of the inflammatory burden of psoriatic arthritis},
author={Raychaudhuri, Siba P and Abdelhafez, Yasser G and Mazza, Dario F and Raychaudhuri, Smriti K and Cherry, Simon R and Nardo, Lorenzo and Badawi, Ramsey D and Chaudhari, Abhijit J},
journal={Rheumatology},
volume={64},
number={6},
pages={3483--3491},
year={2025},
doi={10.1093/rheumatology/keae702},
pmid={39714258},
institution={UC Davis},
keywords={immune; arthritis}
}
@article{gu2024selfnnfdg,
title={Self-supervised neural network for Patlak-based parametric imaging in dynamic [18F]FDG total-body PET},
author={Gu, Wenjian and Zhu, Zhanshi and Liu, Ze and Wang, Yihan and Li, Yanxiao and Xu, Tianyi and Liu, Weiping and Luo, Gongning and Wang, Kuanquan and Zhou, Yun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={4},
pages={1436--1447},
year={2025},
doi={10.1007/s00259-024-07008-x},
pmid={39621094},
institution={Harbin Institute of Technology; United Imaging; Shanghai Tech},
keywords={deep learning; kinetics}
}
@article{rathod2024tb_dyn_vs_static,
title={Total body PET/CT: Clinical value and future aspects of quantification in static and dynamic imaging},
author={Rathod, Narendra and Jutidamrongphan, Warissara and Bosbach, Wolfram Andreas and Chen, Yizhou and Penner, Jan Luca and Sari, Hasan and Zeimpekis, Konstantinos and Montes, Alejandro López and Moskal, Pawel and Stepien, Ewa and Shi, Kuangyu and Rominger, Axel and Seifert, Robert},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={98--106},
year={2025},
doi={10.1053/j.semnuclmed.2024.11.004},
pmid={39616013},
institution={University of Bern; Jagiellonian University},
keywords={reviews; dynamic acquisition}
}
@article{zhu2024feasibilitydect,
title={Feasibility of PET-enabled dual-energy CT imaging: First physical phantom and initial patient study results},
author={Zhu, Yansong and Li, Siqi and Xie, Zhaoheng and Leung, Edwin K and Bayerlein, Reimund and Omidvari, Negar and Abdelhafez, Yasser G and Cherry, Simon R and Qi, Jinyi and Badawi, Ramsey D and Spencer, Benjamin A and Wang, Guobao},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={5},
pages={1912--1923},
year={2025},
doi={10.1007/s00259-024-06975-5},
pmid={39549045},
institution={UC Davis; United Imaging America},
keywords={dual-energy CT}
}
@article{chen2024comparisonlatevsstd,
title={Comparison of clinical performance between late and standard total-body [68Ga]Ga-PSMA-11 in biochemical recurrent prostate cancer},
author={Chen, Qiaochu and Dong, Liang and Xu, Lian and Zhao, Haitao and Li, Lianghua and Huang, Gang and Liu, Jianjun and Chen, Ruohua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={4},
pages={1249--1256},
year={2025},
doi={10.1007/s00259-024-06980-8},
pmid={39540904},
institution={Renji Hospital},
keywords={PSMA; prostate cancer; delayed imaging}
}
@article{mo2024assessinglymphoma,
title={Assessing the intracranial metabolic score as a novel prognostic tool in primary CNS lymphoma with end of induction-chemotherapy 18F-FDG PET/CT and PET/MR},
author={Mo, Yiwen and Li, Yongjiang and Huang, Yuqian and Chen, Mingshi and Zhou, Chao and Li, Xinling and Wei, Yuan and Li, Ruping and Fan, Wei and Zhang, Xu},
journal={Cancer Imaging},
volume={24},
number={1},
pages={152},
year={2024},
doi={10.1186/s40644-024-00798-1},
pmid={39529203},
institution={Sun Yat-Sen Cancer},
keywords={lymphoma; neural; PET/MR}
}
@article{sun2024comparisonPCa,
title={Comparison of early and standard 18F-PSMA-11 imaging in treatment-na{\"\i}ve patients with prostate cancer},
author={Sun, Xiaolin and Zhang, Guojin and Zhang, Qing and Yuan, Hui and Jiang, Lei and Sun, Taotao},
journal={Annals of Nuclear Medicine},
volume={39},
number={3},
pages={295--302},
year={2025},
doi={10.1007/s12149-024-02000-9},
pmid={39522079},
institution={Guangdong People's Hospital; Southern Medical University},
keywords={PSMA; prostate cancer}
}
@article{zoghi2024roleinflammatory,
title={Role of total body PET/CT in inflammatory disorders},
author={Zoghi, Shervin and Mingels, Clemens and Badawi, Ramsey D and Spencer, Benjamin A and Yarbrough, Tracy L and Nardo, Lorenzo and Chaudhari, Abhijit J},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={41--51},
year={2025},
doi={10.1053/j.semnuclmed.2024.11.001},
pmid={39578110},
institution={UC Davis; University of Bern},
keywords={reviews; inflammatory}
}
@article{godinez2024totalfuture,
title={Total body PET/CT: Future Aspects},
author={Godinez, Felipe and Mingels, Clemens and Bayerlein, Reimund and Mehadji, Brahim and Nardo, Lorenzo},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={107--115},
year={2025},
doi={10.1053/j.semnuclmed.2024.10.011},
pmid={39542814},
institution={UC Davis; University of Bern},
keywords={reviews}
}
@article{yin2024relationshipClaudin,
title={Relationship between [18F]FDG PET/CT findings and claudin 18.2 expression in metastatic gastric cancer},
author={Yin, Hongyan and Luo, Rongkui and Lv, Jing and Mao, Wujian and Shi, Hongcheng},
journal={European Radiology},
volume={35},
number={6},
pages={3442--3449},
year={2025},
doi={10.1007/s00330-024-11186-5},
pmid={39572448},
institution={Zhongshan Hospital},
keywords={gastric cancer; Claudin18.2}
}
@article{liu2024expertconsensusworkflow,
title={Expert consensus on workflow of PET/CT with long axial field-of-view},
author={Liu, Guobing and Gu, Yushen and Sollini, Martina and Lazar, Alexandra and Besson, Florent L and Li, Sijin and Wu, Zhifang and Nardo, Lorenzo and Al-Ibraheem, Akram and Zheng, Jiefu and Li, Biao and Cheng, Zhaoping and Wang, Ruimin and Xu, Baixuan and Agostini, Denis and Tang, Han and Tan, Lijie and Yang, Zhi and Huo, Li and Gu, Jianying and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={3},
pages={1038--1049},
year={2025},
doi={10.1007/s00259-024-06968-4},
pmid={39520515},
institution={Zhongshan Hospital},
keywords={editorial}
}
@article{nanni2024totaloncology,
title={Total body positron emission tomography/computed tomography: Current status in oncology},
author={Nanni, Cristina and Farolfi, Andrea and Castellucci, Paolo and Fanti, Stefano},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={31--40},
year={2025},
doi={10.1053/j.semnuclmed.2024.10.006},
pmid={39516095},
institution={University of Bologna},
keywords={reviews}
}
@article{yang2024bidirectional,
title={Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images},
author={Yang, Qianyi and Li, Wenbo and Huang, Zhenxing and Chen, Zixiang and Zhao, Wenjie and Gao, Yunlong and Yang, Xinlan and Yang, Yongfeng and Zheng, Hairong and Liang, Dong and Liu, Jianjun and Chen, Ruohua and Hu, Zhanli},
journal={EJNMMI Physics},
volume={11},
pages={92},
year={2024},
doi={10.1186/s40658-024-00698-0},
pmid={39489859},
institution={SIAT, CAS; Northeastern University; Renji Hospital},
keywords={dynamic acquisition; deep learning; PSMA; FAPI}
}
@article{kong2024ctr,
title={CTR-FAPI PET enables precision management of medullary thyroid carcinoma},
author={Kong, Ziren and Li, Zhu and Cui, Xi-Yang and Wang, Jian and Xu, Mengxin and Liu, Yang and Chen, Junyi and Ni, Song and Zhang, Zongmin and Fan, Xiaowei and Huang, Jiazhao and Lin, Yansong and Sun, Yuning and He, Yuqin and Lin, Xinfeng and Meng, Tianyu and Li, Han and Song, Yixuan and Peng, Boshizhang and An, Changming and Gao, Chenyan and Li, Nan and Liu, Chen and Zhu, Yiming and Yang, Zhi and Liu, Zhibo and Liu, Shaoyan},
journal={Cancer Discovery},
volume={15},
number={2},
pages={316--328},
year={2025},
doi={10.1158/2159-8290.CD-24-0897},
pmid={39470165},
institution={Cancer Hospital, CAMS; Changping Laboratory; Peking University; Beijing Cancer Hospital; Peking Union Medical College Hospital},
keywords={FAPI; CTR-FAPI; novel tracer; thyroid cancer; small molecule}
}
@article{shen202468grazytracer,
title={68Ga-grazytracer PET for noninvasive assessment of response to immunotherapy in solid tumors and lymphomas: a phase 1/2 clinical trial},
author={Shen, Xiuling and Zhou, Haoyi and Zhou, Xin and Liu, Zongchao and Meng, Xiangxi and Zhang, Linyu and Song, Yufei and Guo, Rui and Wang, Fei and Li, Kui and Li, Wenqing and Yang, Zhi and Liu, Zhaofei and Li, Nan},
journal={Nature Communications},
volume={15},
pages={8791},
year={2024},
doi={10.1038/s41467-024-53197-2},
pmid={39389969},
institution={Beijing Cancer Hospital; Peking University},
keywords={68Ga-grazytracer; granzyme B; novel tracer; lymphoma; dynamic acquisition; peptide}
}
@article{cai2024comparative,
title={Comparative benefits of Ki and SUV images in lesion detection during PET/CT imaging},
author={Cai, Danjie and He, Yibo and Yu, Haojun and Zhang, Yiqiu and Shi, Hongcheng},
journal={EJNMMI Research},
volume={14},
number={1},
pages={98},
year={2024},
doi={10.1186/s13550-024-01162-x},
pmid={39412599},
institution={Zhongshan Hospital},
keywords={kinetics}
}
@article{zhang2024myocardialmetabolism,
title={Feasibility of shortening scan duration of 18F-FDG myocardial metabolism imaging using a total-body PET/CT scanner},
author={Zhang, Xiaochun and Xiang, Zeyin and Wang, Fanghu and Han, Chunlei and Zhang, Qing and Liu, Entao and Yuan, Hui and Jiang, Lei},
journal={EJNMMI Physics},
volume={11},
number={1},
pages={83},
year={2024},
doi={10.1186/s40658-024-00689-1},
pmid={39390229},
institution={Guangdong People's Hospital},
keywords={fast; cardiovascular}
}
@article{wu2024feasibilityultrawlowchildren,
title={Feasibility of ultra-low activity 18F-FDG PET/CT imaging in children},
author={Wu, Ha and Liu, Guobing and Yu, Haojun and Zheng, Zhe and He, Yibo and Shi, Hongcheng},
journal={British Journal of Radiology},
volume={98},
number={1165},
pages={136--142},
year={2025},
doi={10.1093/bjr/tqae208},
pmid={39423099},
institution={Zhongshan Hospital; Fudan University Children's Hospital},
keywords={low dose; pediatrics}
}
@article{meng2024seminnuclmed,
title={Total body PET/CT: A role in drug development?},
author={Meng, Xiangxi and Kong, Xiangxing and Wu, Runze and Yang, Zhi},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={116--123},
year={2025},
doi={10.1053/j.semnuclmed.2024.09.006},
pmid={39389888},
institution={Beijing Cancer Hospital},
keywords={reviews}
}
@article{shanina2024picasso,
title={PICASSO: a universal brain phantom for positron emission tomography based on the activity painting technique},
author={Shanina, Ekaterina and Spencer, Benjamin A and Li, Tiantian and Huang, Bangyan and Qi, Jinyi and Cherry, Simon R},
journal={Physics in Medicine \& Biology},
volume={69},
number={21},
year={2024},
doi={10.1088/1361-6560/ad84b5},
pmid={39378896},
institution={UC Davis},
keywords={phantom}
}
@article{yang2024comparison1min,
title={全身PET/CT 1 min采集图像与常规PET/CT图像质量比较：自身对照研究},
author={杨润君 and 陈雪琪 and 余浩军 and 胡鹏程 and 石洪成},
journal={中华核医学与分子影像杂志},
volume={44},
number={1},
pages={12--15},
year={2024},
doi={10.3760/cma.j.cn321828-20221027-00322},
institution={Zhongshan Hospital},
keywords={fast}
}
@article{yang2024FDGDOTATATE,
title={18F-FDG与68Ga-DOTATATE全身PET/CT显像在神经内分泌肿瘤中的价值},
author={林禹 and 高华萍 and 石洪成},
journal={中华核医学与分子影像杂志},
volume={44},
number={11},
pages={644--648},
year={2024},
doi={10.3760/cma.j.cn321828-20230619-00177},
institution={Zhongshan Hospital},
keywords={DOTATATE; neuroendocrine}
}
@article{li2024petformer,
title={PETformer network enables ultra-low-dose total-body PET imaging without structural prior},
author={Li, Yuxiang and Li, Yusheng},
journal={Physics in Medicine \& Biology},
volume={69},
number={7},
pages={075030},
year={2024},
doi={10.1088/1361-6560/ad2e6f},
pmid={38417180},
institution={United Imaging America},
keywords={deep learning; low dose}
}
@article{omidvari2024totalArag,
title={Total-body dynamic imaging and kinetic modeling of [18F]F-AraG in healthy individuals and a non-small cell lung cancer patient undergoing anti-PD-1 immunotherapy},
author={Omidvari, Negar and Levi, Jelena and Abdelhafez, Yasser G and Wang, Yiran and Nardo, Lorenzo and Daly, Megan E and Wang, Guobao and Cherry, Simon R},
journal={J. Nucl. Med.},
volume={65},
number={9},
pages={1481--1488},
year={2024},
doi={10.2967/jnumed.123.267003},
pmid={39089813},
institution={UC Davis; CellSight Technologies Inc.},
keywords={novel tracer; lung cancer; immune; kinetics; small molecule},
category={#Clinical}
}
@article{gu2024lowdoseBMI,
title={Low dose optimization for total-body 2-[18F]FDG PET/CT imaging: a single-center study on feasibility based on body mass index stratification},
author={Gu, Taoying and Liu, Siwei and Hou, Xiaoguang and Zhao, Liwei and Ng, Yee Ling and Wang, Jingyi and Shi, Hongcheng},
journal={European Radiology},
volume={35},
number={4},
pages={1881--1893},
year={2025},
doi={10.1007/s00330-024-11039-1},
pmid={39214892},
institution={Zhongshan Hospital; United Imaging},
keywords={low dose; BMI}
}
@article{zhou2024sedation,
title={Sedation-free pediatric [18F]FDG imaging on totalbody PET/CT with the assistance of artificial intelligence},
author={Zhou, Xiang and Xue, Song and Li, Lianghua and Seifert, Robert and Dong, Shunjie and Chen, Ruohua and Huang, Gang and Rominger, Axel and Liu, Jianjun and Shi, Kuangyu},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={13},
pages={4062--4072},
year={2024},
doi={10.1007/s00259-024-06818-3},
pmid={38958680},
institution={Renji Hospital; Medical University of Vienna},
keywords={deep learning; pediatrics; fast}
}
@article{heqiujun2024,
title={Total-body PET/CT临床应用进展},
author={何秋君 and 李囡},
journal={中国医学影像技术},
volume={40},
number={4},
pages={618--621},
year={2024},
doi={10.13929/j.issn.1003-3289.2024.04.030},
institution={Beijing Cancer Hospital},
keywords={reviews}
}
@article{reinert2024kommentar,
title={Kommentar zu „HYBRID -- Total-body-2-[18F]-FDG-PET/CT mit Vorteilen“},
author={Reinert, Christian Philipp},
journal={R{\"o}Fo},
volume={196},
number={06},
pages={534--535},
year={2024},
doi={10.1055/a-2276-0522},
pmid={38776932},
institution={University Hospital Tübingen},
keywords={editorial},
category={#Other}
}
@article{holy2024non,
title={Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET},
author={Holy, Emily Nicole and Li, Elizabeth J and Bhattarai, Anjan and Fletcher, Evan and Alfaro, Evelyn R and Harvey, Danielle J and Spencer, Benjamin A and Cherry, Simon R and DeCarli, Charles S and Fan, Audrey P},
journal={EJNMMI Research},
volume={14},
number={1},
pages={39},
year={2024},
doi={10.1186/s13550-024-01104-7},
pmid={38625413},
institution={UC Davis},
keywords={18F-florbetaben; neural; kinetics},
category={#Clinical}
}
@article{tang2024assessmentIDIF,
title={Assessment of image-derived input functions from small vessels for patlak parametric imaging using total-body PET/CT},
author={Tang, Hongmei and Wu, Yang and Cheng, Zhaoting and Song, Shuang and Dong, Qingjian and Zhou, Yu and Shu, Zhiping and Hu, Zhanli and Zhu, Xiaohua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={2},
pages={648--659},
year={2025},
doi={10.1007/s00259-024-06926-0},
pmid={39325156},
institution={Tongji Hospital; SIAT, CAS},
keywords={input function; kinetics}
}
@article{mingels2024total,
title={Total-body PET/CT: Challenges and opportunities},
author={Mingels, Clemens and Chung, Kevin J and Pantel, Austin R and Rominger, Axel and Alberts, Ian L and Spencer, Benjamin A and Nardo, Lorenzo and Pyka, Thomas},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={21--30},
year={2025},
doi={10.1053/j.semnuclmed.2024.08.003},
pmid={39341688},
institution={UC Davis; UPenn; University of Bern; University of British Columbia},
keywords={reviews},
category={#Other}
}
@article{zheng2024explorationonestop,
title={Exploration the feasibility and additional value of [18F]FDG/[68Ga]Ga-FAPI-04 dual-low-activity-tracer one-stop total-body PET imaging at 34 min post-injection of [68Ga]Ga-FAPI-04},
author={Zheng, Zhe and He, Yibo and Mao, Wujian and Yu, Haojun and Wu, Ha and Yang, Runjun and Gao, Huaping and Hu, Pengcheng and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={52},
number={2},
pages={638--647},
year={2025},
doi={10.1007/s00259-024-06924-2},
pmid={39320482},
institution={Zhongshan Hospital},
keywords={FAPI; low dose; dual tracer},
category={#Clinical}
}
@article{kang2024accuratepk,
title={Accurate brain pharmacokinetic parametric imaging using the blood input function extracted from the cavernous sinus},
author={Kang, Yafen and Chen, Zixiang and Song, Zhuoyue and Wu, Yaping and Huang, Zhenxing and Jin, Yuxi and Zhang, Ting and Wang, Meiyun and Hu, Zhanli and Yu, Yang},
journal={American Journal of Nuclear Medicine and Molecular Imaging},
volume={14},
number={4},
pages={272--281},
year={2024},
doi={10.62347/LSYG1380},
pmid={39309416},
institution={Guangzhou University of Chinese Medicine; SIAT, CAS; Henan People's Hospital},
keywords={kinetics; neural; input function},
category={#Physiological}
}
@article{fraum2024whole,
title={Whole-body multiparametric PET in clinical oncology: Current status, challenges, and opportunities},
author={Fraum, Tyler J and Sari, Hasan and Dias, Andr{\'e} H and Munk, Ole L and Pyka, Thomas and Smith, Anne M and Mawlawi, Osama R and Laforest, Richard and Wang, Guobao},
journal={American Journal of Roentgenology},
volume={223},
number={5},
pages={e2431712},
year={2024},
doi={10.2214/AJR.24.31712},
pmid={39230403},
institution={UC Davis; WashU St Louis},
keywords={kinetics; reviews},
category={#Clinical}
}
@article{zhu2024multimodalradiomics,
title={Multimodal radiomics-based methods using deep learning for prediction of brain metastasis in non-small cell lung cancer with 18F-FDG PET/CT images},
author={Zhu, Yuan and Cong, Shan and Zhang, Qiyang and Huang, Zhenxing and Yao, Xiaohui and Cheng, You and Liang, Dong and Hu, Zhanli and Shao, Dan},
journal={Biomedical Physics \& Engineering Express},
volume={10},
number={6},
pages={065011},
year={2024},
doi={10.1088/2057-1976/ad7595},
pmid={39214122},
institution={SIAT, CAS; Guangdong People's Hospital},
keywords={deep learning; radiomics; lung cancer},
category={#Physiological}
}
@article{cui2024ie,
title={IE-CycleGAN: improved cycle consistent adversarial network for unpaired PET image enhancement},
author={Cui, Jianan and Luo, Yi and Chen, Donghe and Shi, Kuangyu and Su, Xinhui and Liu, Huafeng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={13},
pages={3874--3887},
year={2024},
doi={10.1007/s00259-024-06823-6},
pmid={39042332},
institution={Zhejiang University of Technology; Zhejiang University; University of Bern},
keywords={deep learning},
category={#Algorithm}
}
@article{abdelhafez2024roleadipose,
title={The role of brown adipose tissue in branched-chain amino acid clearance in people},
author={Abdelhafez, Yasser G and Wang, Guobao and Li, Siqi and Pellegrinelli, Vanessa and Chaudhari, Abhijit J and Ramirez, Anthony and Sen, Fatma and Vidal-Puig, Antonio and Sidossis, Labros S and Klein, Samuel and Badawi, Ramsey D and Chondronikola, Maria},
journal={iScience},
volume={27},
number={8},
year={2024},
doi={10.1016/j.isci.2024.110559},
pmid={39175781},
institution={UC Davis; University of Cambridge},
keywords={metabolism; kinetics; 18F-fluciclovine},
category={#Clinical}
}
@article{sun2024artificialJointSC,
title={Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET},
author={Sun, Hao and Huang, Yanchao and Hu, Debin and Hong, Xiaotong and Salimi, Yazdan and Lv, Wenbing and Chen, Hongwen and Zaidi, Habib and Wu, Hubing and Lu, Lijun},
journal={EJNMMI Physics},
volume={11},
number={1},
pages={66},
year={2024},
doi={10.1186/s40658-024-00666-8},
pmid={39028439},
institution={Nanfang Hospital; Southern Medical University},
keywords={FAPI; scatter; correction; attenuation; deep learning},
category={#Algorithm}
}
@article{liu2024totalNH3,
title={Total-body dynamic PET/CT imaging reveals kinetic distribution of [13N]NH3 in normal organs},
author={Liu, Guobing and Gu, Taoying and Chen, Shuguang and Gu, Yushen and Yu, Haojun and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={13},
pages={3888--3899},
year={2024},
doi={10.1007/s00259-024-06826-3},
pmid={38976037},
institution={Zhongshan Hospital},
keywords={ammonia; kinetics},
category={#Physiological}
}
@article{mingels2024longlymphoma,
title={Long-axial field-of-view PET imaging in patients with lymphoma: Challenges and opportunities},
author={Mingels, Clemens and Nalbant, Hande and Sari, Hasan and Godinez, Felipe and Sen, Fatma and Spencer, Benjamin A and Esteghamat, Naseem S and Tuscano, Joseph M and Nardo, Lorenzo},
journal={PET Clinics},
volume={19},
number={4},
pages={4075--4089},
year={2024},
doi={10.1016/j.cpet.2024.05.005},
pmid={38969563},
institution={UC Davis},
keywords={reviews; lymphoma},
category={#Clinical}
}
@article{el2024montecarlo_offset,
title={A Monte Carlo simulation study of the optimal source offset for scatter fraction estimation in PET and the influence of the scanner and object characteristics},
author={El Katib, Mahmoud and Chakir, El Mahjoub and Sebihi, Rajaa and Saikouk, Hind},
journal={Moscow University Physics Bulletin},
volume={79},
number={2},
pages={267--274},
year={2024},
doi={10.3103/S0027134924700383},
institution={Ibn Tofail University; Mohammed VI University Hospital},
keywords={simulation},
category={#Hardware}
}
@article{wang2024repeatedGASTO,
title={Repeated dynamic [18F]FDG PET/CT imaging using a high-sensitivity PET/CT scanner for assessing non-small cell lung cancer patients undergoing induction immuno-chemotherapy followed by hypo-fractionated chemoradiotherapy and consolidative immunotherapy: report from a prospective observational study (GASTO-1067)},
author={Wang, Daquan and Mo, Yiwen and Liu, Fangjie and Zheng, Shiyang and Liu, Hui and Li, Hongdi and Guo, Jinyu and Fan, Wei and Qiu, Bo and Zhang, Xu and Liu, Hui},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={13},
pages={4083--4098},
year={2024},
doi={10.1007/s00259-024-06819-2},
pmid={38953934},
institution={Sun Yat-Sen Cancer},
keywords={kinetics; lung cancer},
category={#Clinical}
}
@article{li2024single_MIAA,
title={Single-subject deep-learning image reconstruction with a neural optimization transfer algorithm for PET-enabled dual-energy CT imaging},
author={Li, Siqi and Zhu, Yansong and Spencer, Benjamin A and Wang, Guobao},
journal={IEEE Transactions on Image Processing},
volume={33},
pages={4075--4089},
year={2024},
doi={10.1109/TIP.2024.3418347},
pmid={38941203},
institution={UC Davis},
keywords={deep learning; dual-energy CT},
category={#Algorithm}
}
@article{katal2024total_musculoskeletal_review,
title={Total body PET/CT: a role in musculoskeletal diseases},
author={Katal, Sanaz and Patel, Parth and Lee, Jonathan and Taubman, Kim and Gholamrezanezhad, Ali},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={86--97},
year={2025},
doi={10.1053/j.semnuclmed.2024.05.009},
pmid={38944556},
institution={University of Melbourne; University of Southern California},
keywords={reviews; musculoskeletal},
category={#Clinical}
}
@article{10443660,
title={Non-invasive quantification of the brain [18F]FDG-PET using inferred blood input function learned from total-body data with physical constraint},
author={Wang, Zhenguo and Wu, Yaping and Xia, Zeheng and Chen, Xinyi and Li, Xiaochen and Bai, Yan and Zhou, Yun and Liang, Dong and Zheng, Hairong and Yang, Yongfeng and Wang, Shanshan and Wang, Meiyun and Sun, Tao},
journal={IEEE Transactions on Medical Imaging},
volume={43},
number={7},
pages={2563--2573},
year={2024},
doi={10.1109/TMI.2024.3368431},
pmid={38386580},
institution={SIAT, CAS; Henan People's Hospital},
keywords={deep learning; input function; kinetics},
category={#Physiological}
}
@article{dimitrakopoulou2024totalprotocol,
title={Total body PET-CT protocols in oncology},
author={Dimitrakopoulou-Strauss, Antonia and Pan, Leyun and Sachpekidis, Christos},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={3--10},
year={2025},
doi={10.1053/j.semnuclmed.2024.05.008},
pmid={38851935},
institution={German Cancer Research Center},
keywords={reviews},
category={#Clinical}
}
@article{li2024imagingbiomarkers,
title={Imaging biomarkers between primary and metastatic tumors revealed by total-body positron emission tomography/computed tomography-based radiomics: a case series},
author={Li, Jianghao and Qiu, Jianfeng and Cheng, Zhaoping and Lu, Weizhao},
journal={Quantitative Imaging in Medicine and Surgery},
volume={14},
number={6},
pages={4255},
year={2024},
doi={10.21037/qims-24-21},
pmid={38846317},
institution={Qianfoshan Hospital},
keywords={case; radiomics},
category={#Algorithm}
}
@article{zhang2024sino,
title={Sino-German symposium on total-body PET/CT in theranostics},
author={Zhang, Min and Guo, Rui and Wang, Hanzhong and Shi, Kuangyu and Weber, Wolfgang A and Li, Biao},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={11},
pages={3157--3158},
year={2024},
doi={10.1007/s00259-024-06786-8},
pmid={38837059},
institution={Ruijin Hospital; Technical University of Munich; University of Bern},
keywords={editorial},
category={#Other}
}
@article{cui2024impact,
title={The impact of deep-inspiration breath-hold total-body PET/CT imaging on thoracic 18F-FDG avid lesions compared with free-breathing},
author={Cui, Yingpu and Jia, Jin and Yan, Qianqian and He, Xiaoxiao and Yuan, Keqing and Li, Zhijian and Zhang, Weiguang and Wu, Runze and Zhao, Yumo and Tang, Si and Fan, Wei and Hu, Yingying},
journal={European Journal of Radiology},
volume={117},
pages={111549},
year={2024},
doi={10.1016/j.ejrad.2024.111549},
pmid={38850723},
institution={Sun Yat-Sen Cancer},
keywords={breath hold},
category={#Clinical}
}
@article{sachpekidis2024long,
title={Long axial field-of-view (LAFOV) PET/CT in prostate cancer},
author={Sachpekidis, Christos and Dimitrakopoulou-Strauss, Antonia},
journal={Seminars in Nuclear Medicine},
volume={55},
number={1},
pages={67--75},
year={2025},
doi={10.1053/j.semnuclmed.2024.05.004},
pmid={38825439},
institution={German Cancer Research Center},
keywords={reviews; PSMA; prostate cancer},
category={#Clinical}
}
@article{zhao2024mmca,
title={MMCA-NET: A multimodal cross attention transformer network for nasopharyngeal carcinoma tumor segmentation based on a total-body PET/CT system},
author={Zhao, Wenjie and Huang, Zhenxing and Tang, Si and Li, Wenbo and Gao, Yunlong and Hu, Yingying and Fan, Wei and Cheng, Chuanli and Yang, Yongfeng and Zheng, Hairong and Liang, Dong and Hu, Zhanli},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={28},
number={9},
pages={5447--5458},
year={2024},
doi={10.1109/JBHI.2024.3405993},
pmid={38805334},
institution={SIAT, CAS},
keywords={segmentation; deep learning; nasopharyngeal},
category={#Algorithm}
}
@article{wang202468ga,
title={[68Ga]Ga-FAPI-04 PET/MR imaging strategy in management of Krukenberg tumors (KTs) from gastric signet-ring-cell carcinoma: to overcome limitation of [68Ga]Ga-FAPI-04 PET imaging in KTs},
author={Wang, Tingting and Huang, Gan and Zhao, Haitao and Li, Lianghua and Shen, Yanying and Lou, Weihua and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={11},
pages={3440--3449},
year={2024},
doi={10.1007/s00259-024-06761-3},
pmid={38767660},
institution={Renji Hospital},
keywords={FAPI; reproductive system; ovarian; gastric},
category={#Clinical}
}
@article{cui2024covalent,
title={Covalent targeted radioligands potentiate radionuclide therapy},
author={Cui, Xi-Yang and Li, Zhu and Kong, Ziren and Liu, Yu and Meng, Hao and Wen, Zihao and Wang, Changlun and Chen, Junyi and Xu, Mengxin and Li, Yiyan and Gao, Jingyue and Zhu, Wenjia and Hao, Zhixin and Huo, Li and Liu, Shaoyan and Yang, Zhi and Liu, Zhibo},
journal={Nature},
volume={630},
number={8015},
pages={206--213},
year={2024},
doi={10.1038/s41586-024-07461-6},
pmid={38778111},
institution={Peking University; Changping Laboratory; Beijing Cancer Hospital; Cancer Hospital, CAMS; Peking Union Medical College Hospital},
keywords={FAPI; CTR-FAPI; novel tracer; small molecule},
category={#Clinical}
}
@article{yuan2024diagnostic,
title={Diagnostic efficacy of [68Ga]Ga-DOTA-GPFAPI-04 in patients with solid tumors in a head-to-head comparison with [18F]F-FDG: results from a prospective clinical study},
author={Yuan, Hui and Liu, Entao and Zhang, Guojin and Lai, Chaoquan and Zhang, Qing and Shang, Yuxiang and Cheng, Zhen and Jiang, Lei},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={11},
pages={3360--3372},
year={2024},
doi={10.1007/s00259-024-06756-0},
pmid={38727829},
institution={Shanghai Institute of Materia Medica, CAS; Guangdong People's Hospital},
keywords={FAPI},
category={#Clinical}
}
@article{dong2024superiorityappendiceal,
title={Superiority of 18F-FAPI-42 PET/CT in the detection of primary tumor and management of appendiceal neoplasm to 18F-FDG PET/CT and CE-CT},
author={Dong, Ye and Huang, Shun and Wu, Hubing and Cao, Min and Huang, Yanchao and Tang, Ganghua and Zhou, Wenlan},
journal={Cancer Imaging},
volume={24},
number={1},
pages={58},
year={2024},
doi={10.1186/s40644-024-00706-7},
pmid={38715096},
institution={Nanfang Hospital},
keywords={FAPI; gastrointestinal tumors},
category={#Clinical}
}
@article{wu2024clinicalimplementation,
title={Clinical implementation of total-body PET in China},
author={Wu, Yaping and Sun, Tao and Ng, Yee Ling and Liu, Jianjun and Zhu, Xiaohua and Cheng, Zhaoping and Xu, Baixuan and Meng, Nan and Zhou, Yun and Wang, Meiyun},
journal={J. Nucl. Med.},
volume={65},
number={Supplement 1},
pages={64S--71S},
year={2024},
doi={10.2967/jnumed.123.266977},
pmid={38719242},
institution={Henan People's Hospital; SIAT, CAS; Renji Hospital; Tongji Hospital; Qianfoshan Hospital; PLA General Hospital},
keywords={reviews},
category={#Other}
}
@article{chen2024advantagesSunYatSen,
title={Advantages and challenges of total-body PET/CT at a tertiary cancer center: insights from Sun Yat-Sen University Cancer Center},
author={Chen, Wanqi and Li, Yinghe and Li, Zhijian and Jiang, Yongluo and Cui, Yingpu and Zeng, Jiling and Mo, Yiwen and Tang, Si and Li, Shatong and Liu, Lei and Zhao, Yumo and Hu, Yingying and Fan, Wei},
journal={J. Nucl. Med.},
volume={65},
number={Supplement 1},
pages={54S--63S},
year={2024},
doi={10.2967/jnumed.123.266948},
pmid={38719233},
institution={Sun Yat-Sen Cancer},
keywords={reviews},
category={#Other}
}
@article{meng2024role,
title={The role of total-body PET in drug development and evaluation: status and outlook},
author={Meng, Xiangxi and Kong, Xiangxing and Xia, Lei and Wu, Runze and Zhu, Hua and Yang, Zhi},
journal={J. Nucl. Med.},
volume={65},
number={Supplement 1},
pages={46S--53S},
year={2024},
doi={10.2967/jnumed.123.266978},
pmid={38719239},
institution={Beijing Cancer Hospital},
keywords={reviews},
category={#Other}
}
@article{mingels2024doseReductionPediatric,
title={Dose Reduction in Pediatric Oncology Patients with Delayed Total-Body [18F]FDG PET/CT},
author={Mingels, Clemens and Spencer, Benjamin A and Nalbant, Hande and Omidvari, Negar and Rokni, Mehrad and Rominger, Axel and Sen, Fatma and Cherry, Simon R and Badawi, Ramsey D and Abdelhafez, Yasser G},
journal={J. Nucl. Med.},
year={2024},
doi={10.2967/jnumed.124.267521},
pmid={38664017},
institution={UC Davis},
keywords={pediatrics; low dose; delayed imaging},
category={#Physiological}
}
@article{sun202411cft,
title={11C-CFT PET brain imaging in Parkinson's disease using a total-body PET/CT scanner},
author={Sun, Xiaolin and Tan, Xiaoyue and Zhang, Qing and He, Shanzhen and Wang, Siyun and Zhou, Yongrong and Huang, Qi and Jiang, Lei},
journal={EJNMMI Physics},
volume={11},
pages={40},
year={2024},
doi={10.1186/s40658-024-00640-4},
pmid={38662044},
institution={Guangdong People's Hospital; Huashan Hospital},
keywords={neural; fast; Parkinson's disease},
category={#Clinical}
}
@article{wang2024effectsD2Receptor,
title={Effects of deep brain stimulation on dopamine D2 receptor binding in patients with treatment-refractory depression},
author={Wang, Fang and Xin, Mei and Li, Xuefei and Li, Lianghua and Wang, Cheng and Dai, Lulin and Zheng, Chaojie and Cao, Kaiyi and Yang, Xuefei and Ge, Qi and Li, Bolun and Wang, Tao and Zhan, Shikun and Li, Dianyou and Zhang, Xiaoxiao and Paerhati, Halimureti and Zhou, Yun and Liu, Jianjun and Sun, Bomin},
journal={Journal of Affective Disorders},
volume={356},
pages={672--680},
year={2024},
doi={10.1016/j.jad.2024.04.082},
pmid={38657771},
institution={Ruijin Hospital; Renji Hospital; United Imaging},
keywords={neural; kinetics},
category={#Physiological}
}
@article{zhu2024optimizationIF,
title={Optimization-derived blood input function using a kernel method and its evaluation with total-body PET for brain parametric imaging},
author={Zhu, Yansong and Tran, Quyen and Wang, Yiran and Badawi, Ramsey D and Cherry, Simon R and Qi, Jinyi and Abbaszadeh, Shiva and Wang, Guobao},
journal={Neuroimage},
volume={293},
pages={120611},
year={2024},
doi={10.1016/j.neuroimage.2024.120611},
pmid={38643890},
institution={UC Davis},
keywords={kinetics; input function},
category={#Physiological}
}
@article{sun2024performance,
title={Performance and application of the total-body PET/CT scanner: a literature review},
author={Sun, Yuanyuan and Cheng, Zhaoping and Qiu, Jianfeng and Lu, Weizhao},
journal={EJNMMI Research},
volume={14},
number={1},
pages={38},
year={2024},
doi={10.1186/s13550-023-01059-1},
pmid={38607510},
institution={Qianfoshan Hospital},
keywords={reviews},
category={#Other}
}
@article{qi202468ga_NC,
title={68Ga-NC-BCH whole-body PET imaging rapidly targets Claudin18.2 in lesions in gastrointestinal cancer patients},
author={Qi, Changsong and Guo, Rui and Chen, Yan and Li, Chenzhen and Liu, Chang and Zhang, Miao and Zhang, Cheng and Zhang, Xiaotian and Hou, Xingguo and Chen, Bo and Jia, Bing and Yang, Zhi and Shen, Lin and Zhu, Hua},
journal={J. Nucl. Med.},
volume={65},
number={6},
pages={856--863},
year={2024},
doi={10.2967/jnumed.123.267110},
pmid={38604764},
institution={Beijing Cancer Hospital},
keywords={novel tracer; Claudin18.2; gastrointestinal tumors; nanobody},
category={#Clinical}
}
@article{yin2024parametricTATE,
title={Parametric net influx rate imaging of 68Ga-DOTATATE in patients with neuroendocrine tumors: assessment of lesion detectability},
author={Yin, Hongyan and Liu, Guobing and Mao, Wujian and Lv, Jing and Yu, Haojun and Cheng, Dengfeng and Cai, Liang and Shi, Hongcheng},
journal={Annals of Nuclear Medicine},
volume={38},
number={7},
pages={483--492},
year={2024},
doi={10.1007/s12149-024-01922-8},
pmid={38573411},
institution={Zhongshan Hospital},
keywords={DOTATATE; neuroendocrine; kinetics},
category={#Physiological}
}
@article{huang2024immunopet,
title={ImmunoPET imaging of Trop2 in patients with solid tumours},
author={Huang, Wei and Zhang, You and Cao, Min and Wu, Yanfei and Jiao, Feng and Chu, Zhaohui and Zhou, Xinyuan and Li, Lianghua and Xu, Dongsheng and Pan, Xinbing and Guan, Yihui and Huang, Gang and Liu, Jianjun and Xie, Fang and Wei, Weijun},
journal={EMBO Molecular Medicine},
volume={16},
number={5},
pages={1143--1161},
year={2024},
doi={10.1038/s44321-024-00059-5},
pmid={38565806},
institution={Renji Hospital; Huashan Hospital},
keywords={novel tracer; Trop2; nanobody},
category={#Clinical}
}
@article{wang2024high_Dual_lung,
title={High-temporal-resolution kinetic modeling of lung tumors with dual-blood input function using total-body dynamic PET},
author={Wang, Yiran and Abdelhafez, Yasser G and Spencer, Benjamin A and Verma, Rashmi and Parikh, Mamta and Stollenwerk, Nicholas and Nardo, Lorenzo and Jones, Terry and Badawi, Ramsey D and Cherry, Simon R and Wang, Guobao},
journal={J. Nucl. Med.},
volume={65},
number={5},
pages={714--721},
year={2024},
doi={10.2967/jnumed.123.267036},
pmid={38548347},
institution={UC Davis},
keywords={kinetics; lung cancer; input function},
category={#Physiological}
}
@article{zan2024performanceHYPER,
title={Performance of the iterative OSEM and HYPER algorithm for total-body PET at SUVmax with a low 18F-FDG activity, a short acquisition time and small lesions},
author={Zan, Keyu and Duan, Yanhua and Zhao, Minjie and Li, Hui and Cui, Xiao and Chai, Leiying and Cheng, Zhaoping},
journal={Current Medical Imaging},
volume={20},
pages={e15734056274225},
year={2024},
doi={10.2174/0115734056274225240109112413},
pmid={38532604},
institution={Qianfoshan Hospital},
keywords={fast; low dose; HYPER; deep learning; performance evaluation},
category={#Algorithm}
}
@article{wang2024superiorPSMA,
title={The superior detection rate of total-body [68Ga]Ga-PSMA-11 PET/CT compared to short axial field-of-view [68Ga]Ga-PSMA-11 PET/CT for early recurrent prostate cancer patients with PSA< 0.2 ng/mL after radical prostatectomy},
author={Wang, Yining and Dong, Liang and Zhao, Haitao and Li, Lianghua and Huang, Gang and Xue, Wei and Liu, Jianjun and Chen, Ruohua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={8},
pages={2484--2494},
year={2024},
doi={10.1007/s00259-024-06674-1},
pmid={38514483},
institution={Renji Hospital},
keywords={PSMA; prostate cancer},
category={#Clinical}
}
@article{chen2024currentII,
title={Current progress and future perspectives in total-body positron emission tomography/computed tomography. Part II: Clinical applications},
author={Chen, Ruohua and Sun, Tao and Huang, Gang and Zhou, Yun and Liu, Jianjun},
journal={iRadiology},
volume={2},
number={3},
pages={328--338},
year={2024},
doi={10.1002/ird3.64},
institution={SIAT, CAS; Renji Hospital; United Imaging},
keywords={reviews},
category={#Clinical}
}
@article{sun2024currentI,
title={Current progress and future perspectives in total-body PET imaging, part I: Data processing and analysis},
author={Sun, Tao and Chen, Ruohua and Liu, Jianjun and Zhou, Yun},
journal={iRadiology},
volume={2},
number={2},
pages={173--190},
year={2024},
doi={10.1002/ird3.66},
institution={SIAT, CAS; Renji Hospital; United Imaging},
keywords={reviews},
category={#Algorithm}
}
@article{li2024efficacy,
title={The efficacy of short acquisition time using 18F-FDG total-body PET/CT for the identification of pediatric epileptic foci},
author={Li, Min and Cui, Xiao and Yue, Huixin and Ma, Chao and Li, Kun and Chai, Leiying and Ge, Min and Li, Hui and Ng, Yee Ling and Zhou, Yun and Shi, Jianguo and Duan, Yanhua and Cheng, Zhaoping},
journal={EJNMMI Research},
volume={14},
pages={21},
year={2024},
doi={10.1186/s13550-024-01081-x},
pmid={38409511},
institution={Qianfoshan Hospital},
keywords={pediatrics; neural; fast},
category={#Clinical}
}
@article{xin2024exploring,
title={Exploring the nigrostriatal and digestive interplays in Parkinson’s disease using dynamic total-body [11C]CFT PET/CT},
author={Xin, Mei and Wang, Yihan and Yang, Xinlan and Li, Lianghua and Wang, Cheng and Gu, Yue and Zhang, Chenpeng and Huang, Gang and Zhou, Yun and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={8},
pages={2271--2282},
year={2024},
doi={10.1007/s00259-024-06638-5},
pmid={38393375},
institution={Renji Hospital},
keywords={novel tracer; kinetics; neural; systems physiology; small molecule},
category={#Clinical}
}
@article{zhou2024intelligent,
title={Intelligent ultrafast total-body PET for sedation-free pediatric [18F]FDG imaging},
author={Zhou, Xiang and Fu, Yu and Dong, Shunjie and Li, Lianghua and Xue, Song and Chen, Ruohua and Huang, Gang and Liu, Jianjun and Shi, Kuangyu},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={8},
pages={2353--2366},
year={2024},
doi={10.1007/s00259-024-06649-2},
pmid={38383744},
institution={Renji Hospital; University of Bern},
keywords={pediatrics; deep learning; fast},
category={#Clinical}
}
@article{yu2024uraemia,
title={Uraemia with imbalanced calcium phosphorus metabolism on [68Ga]Ga-FAPI versus [18F]F-FDG PET/CT},
author={Yu, Xiaofeng and Xu, Lian and Liu, Jianjun and Chen, Yumei},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={7},
pages={2156--2158},
year={2024},
doi={10.1007/s00259-024-06655-4},
pmid={38372767},
institution={Renji Hospital},
keywords={FAPI; uraemia; renal; case},
category={#Clinical}
}
@article{qi2024phantom,
title={Phantom study and clinical application of total-body 18F-FDG PET/CT imaging: How to use small voxel imaging better?},
author={Qi, Chi and Sui, Xiuli and Yu, Haojun and Wang, Siyang and Hu, Yan and Sun, Hongyan and Yang, Xinlan and Wang, Yihan and Zhou, Yun and Shi, Hongcheng},
journal={EJNMMI Physics},
volume={11},
pages={17},
year={2024},
doi={10.1186/s40658-023-00597-w},
pmid={38358541},
institution={Zhongshan Hospital},
keywords={image quality; phantom; small voxel},
category={#Algorithm}
}
@article{li2024learningCTfree,
title={Learning CT-free attenuation-corrected total-body PET images through deep learning},
author={Li, Wenbo and Huang, Zhenxing and Chen, Zixiang and Jiang, Yongluo and Zhou, Chao and Zhang, Xu and Fan, Wei and Zhao, Yumo and Zhang, Lulu and Wan, Liwen and Yang, Yongfeng and Zheng, Hairong and Liang, Dong and Hu, Zhanli},
journal={European Radiology},
volume={34},
number={9},
pages={5578--5587},
year={2024},
doi={10.1007/s00330-024-10647-1},
pmid={38355987},
institution={SIAT, CAS; Sun Yat-Sen Cancer},
keywords={deep learning; attenuation; correction; CT-free},
category={#Algorithm}
}
@article{yu2024imagequality,
title={The image quality and feasibility of solitary delayed [68Ga]Ga-PSMA-11 PET/CT using long field-of-view scanning in patients with prostate cancer},
author={Yu, Xiaofeng and Xu, Lian and Huang, Gang and Liu, Jianjun and Chen, Ruohua and Chen, Yumei},
journal={EJNMMI Research},
volume={14},
pages={14},
year={2024},
doi={10.1186/s13550-024-01076-8},
pmid={38319452},
institution={Renji Hospital},
keywords={PSMA; prostate cancer},
category={#Clinical}
}
@article{wu2024role,
title={The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions},
author={Wu, Yaping and Fu, Fangfang and Meng, Nan and Wang, Zhenguo and Li, Xiaochen and Bai, Yan and Zhou, Yun and Liang, Dong and Zheng, Hairong and Yang, Yongfeng and Wang, Meiyun and Sun, Tao},
journal={Cancer Imaging},
volume={24},
number={1},
pages={2},
year={2024},
doi={10.1186/s40644-023-00649-5},
pmid={38167538},
institution={SIAT, CAS},
keywords={dynamic acquisition},
category={#Algorithm}
}
@article{zhang2024reducing,
title={Reducing pediatric total-body PET/CT imaging scan time with multimodal artificial intelligence technology},
author={Zhang, Qiyang and Hu, Yingying and Zhou, Chao and Zhao, Yumo and Zhang, Na and Zhou, Yun and Yang, Yongfeng and Zheng, Hairong and Fan, Wei and Liang, Dong and Hu, Zhanli},
journal={EJNMMI Physics},
volume={11},
number={1},
pages={1},
year={2024},
doi={10.1186/s40658-023-00605-z},
pmid={38165551},
institution={SIAT, CAS},
keywords={low dose; deep learning; fast; pediatrics},
category={#Algorithm}
}
@article{liu2023onetenth,
title={One-tenth-activity total-body positron emission tomography versus full-activity imaging in patients with a complex of hepatic malignant tumors: a retrospective study},
author={Liu, Guobing and Tan, Hui and Sui, Xiuli and Qi, Chi and Cao, Yanyan and Cai, Danjie and Hu, Pengcheng and Zhang, Yiqiu and Shi, Hongcheng},
journal={Quantitative Imaging in Medicine and Surgery},
volume={13},
number={12},
pages={8517},
year={2023},
doi={10.21037/qims-23-719},
pmid={38106244},
institution={Zhongshan Hospital},
keywords={low dose; liver lesion},
category={#Clinical}
}
@article{mcquaid2023impacttbpet,
title={The impact of total body PET},
author={McQuaid, Sarah J},
journal={Nuclear Medicine Communications},
volume={44},
number={12},
pages={1184--1186},
year={2023},
doi={10.1097/MNM.0000000000001772},
pmid={37901931},
institution={UCL Hospitals},
keywords={editorial},
category={#Other}
}
@article{wang2023total,
title={Total-body multiparametric PET quantification of 18F-FDG delivery and metabolism in the study of coronavirus disease 2019 recovery},
author={Wang, Yiran and Nardo, Lorenzo and Spencer, Benjamin A and Abdelhafez, Yasser G and Li, Elizabeth J and Omidvari, Negar and Chaudhari, Abhijit J and Badawi, Ramsey D and Jones, Terry and Cherry, Simon R and Wang, Guobao},
journal={J. Nucl. Med.},
volume={64},
number={11},
pages={1821--1830},
year={2023},
doi={10.2967/jnumed.123.265723},
pmid={37591539},
institution={UC Davis},
keywords={COVID-19; kinetics},
category={#Clinical}
}
@article{omidvari2023firstminibody,
title={First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody},
author={Omidvari, Negar and Jones, Terry and Price, Pat M and Ferre, April L and Lu, Jacqueline and Abdelhafez, Yasser G and Sen, Fatma and Cohen, Stuart H and Schmiedehausen, Kristin and Badawi, Ramsey D and Shacklett, Barbara L and Wilson, Ian and Cherry, Simon R},
journal={Science Advances},
volume={9},
number={41},
pages={eadh7968},
year={2023},
doi={10.1126/sciadv.adh7968},
pmid={37824612},
institution={UC Davis},
keywords={novel tracer; immune; minibody; COVID-19; kinetics},
category={#Clinical}
}
@article{ye2023framing,
title={Framing protocol optimization in oncological Patlak parametric imaging with uKinetics},
author={Ye, Qing and Zeng, Hao and Zhao, Yizhang and Zhang, Weiguang and Dong, Yun and Fan, Wei and Lu, Yihuan},
journal={EJNMMI Physics},
volume={10},
pages={54},
year={2023},
doi={10.1186/s40658-023-00577-0},
pmid={37698773},
institution={United Imaging},
keywords={urology; kinetics; parametric image},
category={#Clinical}
}
@article{zheng2023earliest,
title={The earliest optimal timing for total-body 68Ga-fibroblast activation protein inhibitor-04 PET scans: an evidence-based single-centre study},
author={Zheng, Zhe and Gao, Huaping and Lin, Yu and Yu, Haojun and Mao, Wujian and Yang, Runjun and He, Yibo and Chen, Xueqi and Wu, Ha and Hu, Pengcheng and Shi, Hongcheng},
journal={European Radiology},
volume={34},
number={7},
pages={4550--4560},
year={2024},
doi={10.1007/s00330-023-10264-4},
pmid={38110627},
institution={Zhongshan Hospital},
keywords={FAPI; dynamic acquisition},
category={#Physiological}
}
@article{liu2023dynamic,
title={Dynamic total-body PET/CT imaging with reduced acquisition time shows acceptable performance in quantification of [18F]FDG tumor kinetic metrics},
author={Liu, Guobing and Shi, Yimeng and Hou, Xiaoguang and Yu, Haojun and Hu, Yan and Zhang, Yiqiu and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={5},
pages={1371--1382},
year={2024},
doi={10.1007/s00259-023-06526-4},
pmid={38078950},
institution={Zhongshan Hospital},
keywords={kinetics; fast},
category={#Physiological}
}
@article{yuan2023fpsma,
title={Kinetic modeling and parametric imaging of 18F-PSMA-11: An evaluation based on total-body dynamic positron emission tomography scans},
author={Yuan, Hui and Zhang, Guojin and Sun, Taotao and Ren, Jingyun and Zhang, Qing and Xiang, Zeyin and Liu, Entao and Jiang, Lei},
journal={Medical Physics},
volume={51},
number={1},
pages={156--166},
year={2024},
doi={10.1002/mp.16876},
pmid={38043120},
institution={Guangdong People's Hospital},
keywords={PSMA; prostate cancer; kinetics},
category={#Physiological}
}
@article{mingels2023total,
title={Total-body PET/CT or LAFOV PET/CT? Axial field-of-view clinical classification},
author={Mingels, Clemens and Caobelli, Federico and Alavi, Abass and Sachpekidis, Christos and Wang, Meiyun and Nalbant, Hande and Pantel, Austin R and Shi, Hongcheng and Rominger, Axel and Nardo, Lorenzo},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={4},
pages={951--953},
year={2024},
doi={10.1007/s00259-023-06534-4},
pmid={38040932},
institution={University of Bern; UC Davis; UPenn; German Cancer Research Center; Henan People's Hospital; Zhongshan Hospital},
keywords={editorial},
category={#Other}
}
@article{duan2023n188,
title={First-in-human study of the radioligand 68Ga-N188 targeting nectin-4 for PET/CT imaging of advanced urothelial carcinoma},
author={Duan, Xiaojiang and Xia, Lei and Zhang, Zhuochen and Ren, Yanan and Pomper, Martin G and Rowe, Steven P and Li, Xuesong and Li, Nan and Zhang, Ning and Zhu, Hua and Yang, Zhi and Sheng, Xinan and Yang, Xing},
journal={Clinical Cancer Research},
volume={29},
number={17},
pages={3395--3407},
year={2023},
doi={10.1158/1078-0432.CCR-23-0609},
pmid={37093191},
institution={Peking University First Hospital; Beijing Cancer Hospital},
keywords={novel tracer; nectin-4; urology; peptide},
category={#Clinical}
}
@article{filippi2023nectin,
title={NECTIN-4 targeted theranostics for urothelial cancer: getting ready for primetime?},
author={Filippi, Luca and Schillaci, Orazio},
journal={Expert Review of Anticancer Therapy},
volume={24},
number={1--2},
pages={1--4},
year={2024},
doi={10.1080/14737140.2023.2288140},
pmid={37994866},
institution={Tor Vergata University Hospital},
keywords={reviews; nectin-4},
category={#Clinical}
}
@article{cherry2023cardiovascularresearch,
title={Total-body positron emission tomography: adding new perspectives to cardiovascular research},
author={Cherry, Simon R and Diekmann, Johanna and Bengel, Frank M},
journal={JACC: Cardiovascular Imaging},
volume={16},
number={10},
pages={1335--1347},
year={2023},
doi={10.1016/j.jcmg.2023.06.022},
pmid={37676207},
institution={UC Davis; Hannover Medical School},
keywords={reviews; cardiovascular},
category={#Clinical}
}
@article{wu2023marriage,
title={Marriage of radiotracers and total-body PET/CT rapid imaging system: current status and clinical advances},
author={Wu, Yuxuan and Sun, Xiaona and Zhang, Boyang and Zhang, Siqi and Wang, Xingkai and Sun, Zhicheng and Liu, Ruping and Zhang, Mingrong and Hu, Kuan},
journal={American Journal of Nuclear Medicine and Molecular Imaging},
volume={13},
number={5},
pages={195},
year={2023},
pmid={38023815},
institution={Beijing Institute of Graphic Communication; Peking Union Medical College},
keywords={reviews},
category={#Other}
}
@article{lv2023singlecenter,
title={A single-center, multi-factor, retrospective study to improve the diagnostic accuracy of primary prostate cancer using [68]Ga-PSMA-11 total-body PET/CT imaging},
author={Lv, Jing and Yu, Haojun and Yin, Hongyan and Shi, Yimeng and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={3},
pages={919--927},
year={2024},
doi={10.1007/s00259-023-06464-1},
pmid={37940684},
institution={Zhongshan Hospital},
keywords={PSMA; prostate cancer},
category={#Clinical}
}
@article{filippi2023total,
title={Total-body PET/CT: how will it change theranostics in oncology?},
author={Filippi, Luca and Urbano, Nicoletta and Schillaci, Orazio},
journal={Expert Review of Medical Devices},
volume={20},
number={12},
pages={999--1003},
year={2023},
doi={10.1080/17434440.2023.2281660},
pmid={37936403},
institution={Tor Vergata University Hospital},
keywords={reviews},
category={#Clinical}
}
@article{chaudhari2023exploring,
title={EXPLORing arthritis with total-body positron emission tomography},
author={Chaudhari, Abhijit J and Abdelhafez, Yasser G and Nardo, Lorenzo and Raychaudhuri, Siba P},
journal={Seminars in Musculoskeletal Radiology},
volume={27},
number={6},
pages={632--640},
year={2023},
doi={10.1055/s-0043-1775746},
pmid={37935209},
institution={UC Davis},
keywords={immune; arthritis; reviews},
category={#Clinical}
}
@article{zhao2023quarterdose,
title={Investigation of the quarter-dose 18F-FDG total-body PET in routine clinical practice and its clinical value},
author={Zhao, Minjie and Zan, Keyu and Cui, Xiao and Chai, Leiying and Ge, Min and Cheng, Zhaoping and Sun, Hongyan and Duan, Yanhua},
journal={Nuclear Medicine Communications},
volume={44},
number={12},
pages={1176--1183},
year={2023},
doi={10.1097/MNM.0000000000001777},
pmid={37901913},
institution={Qianfoshan Hospital},
keywords={low dose},
category={#Physiological}
}
@article{chen2023assessing,
title={Assessing dynamic metabolic heterogeneity in prostate cancer patients via total-body [68Ga]Ga-PSMA-11 PET/CT imaging: quantitative analysis of [68Ga]Ga-PSMA-11 uptake in pathological lesions and normal organs},
author={Chen, Ruohua and Ng, Yee Ling and Yang, Xinlan and Zhu, Yinjie and Li, Lianghua and Zhao, Haitao and Huang, Gang and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={3},
pages={896--906},
year={2024},
doi={10.1007/s00259-023-06475-y},
pmid={37889299},
institution={Renji Hospital},
keywords={PSMA; prostate cancer; kinetics},
category={#Physiological}
}
@article{liu2023total,
title={Total-body PET/CT with half-dose [68Ga]Ga-PSMA-11 for biochemical recurrent prostate cancer: comparable diagnostic value to short axial field-of-view PET/CT with full-dose [68Ga]Ga},
author={Liu, Yuheng and Li, Lianghua and Qin, Yanyu and Chen, Zijun and Zhao, Haitao and Wang, Xinlu and Chen, Ruohua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={3},
pages={896--906},
year={2024},
doi={10.1007/s00259-023-06466-z},
pmid={37819451},
institution={Renji Hospital; 1st Affiliated Hospital Guangzhou Med Univ},
keywords={PSMA; prostate cancer; low dose},
category={#Clinical}
}
@article{lu2023metabolic,
title={Metabolic interactions between organs in overweight and obesity using total-body positron emission tomography},
author={Lu, Weizhao and Duan, Yanhua and Li, Kun and Cheng, Zhaoping and Qiu, Jianfeng},
journal={International Journal of Obesity},
volume={48},
pages={94--102},
year={2023},
doi={10.1038/s41366-023-01394-2},
pmid={37816863},
institution={Qianfoshan Hospital},
keywords={metabolism; obesity; systems physiology},
category={#Clinical}
}
@article{chen2023comparisonOfparametric,
title={Comparison of parametric imaging and SUV imaging with [68Ga]Ga-PSMA-11 using dynamic total-body PET/CT in prostate cancer},
author={Chen, Ruohua and Ng, Yee Ling and Yang, Xinlan and Zhu, Yinjie and Li, Lianghua and Zhao, Haitao and Zhou, Yun and Huang, Gang and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={2},
pages={568--580},
year={2024},
doi={10.1007/s00259-023-06456-1},
pmid={37792025},
institution={Renji Hospital},
keywords={PSMA; prostate cancer; kinetics},
category={#Clinical}
}
@article{fu2023radiosynthesis,
title={Radiosynthesis, preclinical evaluation and pilot clinical PET imaging study of a 18F-labeled tracer targeting fibroblast activation protein},
author={Fu, Lilan and Huang, Jiawen and Liu, Qingxing and Xie, Fei and Han, Yanjiang and Sun, Penghui and Cao, Min and Huang, Yanchao and Hu, Kongzhen and Tang, Ganghua},
journal={Bioorganic Chemistry},
volume={141},
pages={106878},
year={2023},
doi={10.1016/j.bioorg.2023.106878},
pmid={37774434},
institution={Nanfang Hospital},
keywords={FAPI; FAPTG; novel tracer; small molecule},
category={#Clinical}
}
@article{sun2023endometrial,
title={Association of mismatch repair deficiency in endometrial cancer with 18F-FDG PET/CT and clinicopathological features and their prognostic value},
author={Sun, Xiaolin and Yao, Xinchao and Zeng, Baozhen and Zhu, Linbo and Shang, Yuxiang and Zhang, Qing and He, Li and Jiang, Lei},
journal={Annals of Nuclear Medicine},
volume={37},
number={12},
pages={655--664},
year={2023},
doi={10.1007/s12149-023-01869-2},
pmid={37743402},
institution={Guangdong People's Hospital},
keywords={gynecological; endometrial cancer},
category={#Clinical}
}
@article{hu2023proper,
title={A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans},
author={Hu, Huiran and Huang, Yanchao and Sun, Hongyan and Zhou, Kemin and Jiang, Li and Zhong, Jinmei and Chen, Li and Wang, Lijuan and Han, Yanjiang and Wu, Hubing},
journal={EJNMMI Physics},
volume={10},
pages={51},
year={2023},
doi={10.1186/s40658-023-00573-4},
pmid={37695324},
institution={Nanfang Hospital},
keywords={HYPER; operation experience},
category={#Clinical}
}
@article{duan2023feasibility,
title={The feasibility of quantitative assessment of dynamic 18F-fluorodeoxyglucose PET in Takayasu’s arteritis: a pilot study},
author={Duan, Yanhua and Zan, Keyu and Zhao, Minjie and Ng, Yee Ling and Li, Hui and Ge, Min and Chai, Leiying and Cui, Xiao and Quan, Wenjin and Li, Kun and Zhou, Yun and Chen, Li and Wang, Ximing and Cheng, Zhaoping},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={1},
pages={81--92},
year={2023},
doi={10.1007/s00259-023-06429-4},
pmid={37691022},
institution={Qianfoshan Hospital},
keywords={kinetics; immune; arthritis},
category={#Clinical}
}
@article{huang2023short_improve,
title={Short-axis PET image quality improvement based on a {uEXPLORER} total-body PET system through deep learning},
author={Huang, Zhenxing and Li, Wenbo and Wu, Yaping and Guo, Nannan and Yang, Lin and Zhang, Na and Pang, Zhifeng and Yang, Yongfeng and Zhou, Yun and Shang, Yue and Zheng, Hairong and Liang, Dong and Wang, Meiyun and Hu, Zhanli},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={51},
number={1},
pages={27--39},
year={2023},
doi={10.1007/s00259-023-06422-x},
pmid={37672046},
institution={SIAT, CAS; Henan People's Hospital},
keywords={deep learning; denoising},
category={#Hardware}
}
@article{rezaei2023accurate,
title={Accurate modeling and performance evaluation of a total-body PET scanner using {Monte} {Carlo} simulations},
author={Rezaei, Hadi and Sheikhzadeh, Peyman and Ghafarian, Pardis and Zaidi, Habib and Ay, Mohammad Reza},
journal={Medical Physics},
volume={50},
number={11},
pages={6815--6827},
year={2023},
doi={10.1002/mp.16707},
pmid={37665768},
institution={Tehran University of Medical Science},
keywords={simulation},
category={#Hardware}
}
@article{li2023butanol,
title={Total-body perfusion imaging with [11C]-butanol},
author={Li, Elizabeth J and L{\'o}pez, Javier E and Spencer, Benjamin A and Abdelhafez, Yasser G and Badawi, Ramsey D and Wang, Guobao and Cherry, Simon R},
journal={J. Nucl. Med.},
volume={64},
number={11},
pages={1831--1838},
year={2023},
doi={10.2967/jnumed.123.265659},
pmid={37652544},
institution={UC Davis},
keywords={kinetics; butanol; perfusion},
category={#Physiological}
}
@article{Li2023Progressive,
title={Enhanced PET imaging using progressive conditional deep image prior},
author={Li, Jinming and Xi, Chen and Dai, Houjiao and Wang, Jing and Lv, Yang and Zhang, Puming and Zhao, Jun},
journal={Physics in Medicine \& Biology},
volume={68},
number={17},
pages={175047},
year={2023},
doi={10.1088/1361-6560/acf091},
pmid={37582392},
institution={Shanghai Jiaotong Univ; United Imaging},
keywords={deep learning; denoising; DLR},
category={#Algorithm}
}
@article{wang2023PSMA,
title={Total-body [68Ga]Ga-PSMA-11 PET/CT improves detection rate compared with conventional [68Ga]Ga-PSMA-11 PET/CT in patients with biochemical recurrent prostate cancer},
author={Wang, Yining and Chen, Zijun and Zhu, Yinjie and Zhao, Haitao and Li, Lianghua and Huang, Gang and Xue, Wei and Chen, Ruohua and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={13},
pages={4096--4106},
year={2023},
doi={10.1007/s00259-023-06355-5},
pmid={37578502},
institution={Renji Hospital},
keywords={PSMA; prostate cancer},
category={#Clinical}
}
@article{chen2023feasibilityFAPI,
title={Feasibility of acquisitions using total-body PET/CT with a half-dose [68Ga]Ga-FAPI-04 activity in oncology patients},
author={Chen, Zijun and Wang, Yining and Yang, Xinlan and Li, Lianghua and Huo, Yanmiao and Yu, Xiaofeng and Xiao, Xiuying and Zhang, Chenpeng and Chen, Yumei and Zhao, Haitao and Zhou, Yun and Huang, Gang and Liu, Jianjun and Chen, Ruohua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={13},
pages={3961--3969},
year={2023},
doi={10.1007/s00259-023-06354-6},
pmid={37535107},
institution={Renji Hospital},
keywords={FAPI; low dose},
category={#Clinical}
}
@article{gu2023quantitation,
title={Quantitation of dynamic total-body PET imaging: Recent developments and future perspectives},
author={Gu, Fengyun and Wu, Qi},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={12},
pages={3538--3557},
year={2023},
doi={10.1007/s00259-023-06299-w},
pmid={37460750},
institution={North China Electric Power University; University College Cork},
keywords={kinetics; reviews},
category={#Physiological}
}
@article{liao2023fasthybridDL,
title={Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction},
author={Liao, Shu and Mo, Zhanhao and Zeng, Mengsu and Wu, Jiaojiao and Gu, Yuning and Li, Guobin and Quan, Guotao and Lv, Yang and Liu, Lin and Yang, Chun and Wang, Xinglie and Huang, Xiaoqian and Zhang, Yang and Cao, Wenjing and Dong, Yun and Wei, Ying and Zhou, Qing and Xiao, Yongqin and Zhan, Yiqiang and Zhou, Xiang Sean and Shi, Feng and Shen, Dinggang},
journal={Cell Reports Medicine},
volume={4},
number={7},
pages={101119},
year={2023},
doi={10.1016/j.xcrm.2023.101119},
pmid={37467726},
institution={United Imaging Intelligence; United Imaging; Zhongshan Hospital; Shanghai Tech},
keywords={deep learning; reconstruction; low dose},
category={#Algorithm}
}
@article{libiodistribution,
title={Biodistribution and radiation dosimetry of multiple tracers on total-body positron emission tomography/computed tomography},
author={Li, Lianghua and Wan, Liangrong and Zhao, Haitao and Wang, Cheng and Wei, Weijun and Liu, Jianjun},
journal={Quantitative Imaging in Medicine and Surgery},
volume={13},
number={8},
pages={5182--5194},
year={2023},
doi={10.21037/qims-22-1418},
pmid={37581077},
institution={Renji Hospital},
keywords={dosimetry; PSMA; FAPI; dynamic acquisition},
category={#Clinical}
}
@article{zhang2023deepGeneralLearning,
title={Deep generalized learning model for PET image reconstruction},
author={Zhang, Qiyang and Hu, Yingying and Zhao, Yumo and Cheng, Jing and Fan, Wei and Hu, Debin and Shi, Fuxiao and Cao, Shuangliang and Zhou, Yun and Yang, Yongfeng and Liu, Xin and Zheng, Hairong and Liang, Dong and Hu, Zhanli},
journal={IEEE Transactions on Medical Imaging},
volume={43},
number={1},
pages={122-134},
year={2024},
doi={10.1109/TMI.2023.3293836},
pmid={37428658},
institution={SIAT, CAS},
keywords={deep learning; reconstruction; low dose; denoising},
category={#Algorithm}
}
@article{liu2023sub,
title={Sub-minute acquisition with deep learning-based image filter in the diagnosis of colorectal cancers using total-body 18F-FDG PET/CT},
author={Liu, Entao and Lyu, Zejian and Yang, Yuelong and Lv, Yang and Zhao, Yumo and Zhang, Xiaochun and Sun, Taotao and Jiang, Lei and Liu, Zaiyi},
journal={EJNMMI Research},
volume={13},
number={1},
pages={66},
year={2023},
doi={10.1186/s13550-023-01015-z},
pmid={37428417},
institution={Guangdong People's Hospital},
keywords={deep learning; DLR; fast},
category={#Clinical}
}
@article{lu2023glucose,
title={Glucose uptake and distribution across the human skeleton using state-of-the-art total-body PET/CT},
author={Lu, Weizhao and Duan, Yanhua and Li, Kun and Qiu, Jianfeng and Cheng, Zhaoping},
journal={Bone Research},
volume={11},
number={1},
pages={36},
year={2023},
doi={10.1038/s41413-023-00268-7},
pmid={37407553},
institution={Qianfoshan Hospital},
keywords={metabolism; bone; systems physiology; kinetics},
category={#Physiological}
}
@article{li2023immuno,
title={Immuno-PET of colorectal cancer with a CEA-targeted [68Ga]Ga-nanobody: from bench to bedside},
author={Li, Liqiang and Lin, Xinfeng and Wang, Lin and Ma, Xiaopan and Zeng, Ziqing and Liu, Futao and Jia, Bing and Zhu, Hua and Wu, Aiwen and Yang, Zhi},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={12},
pages={3735--3749},
year={2023},
doi={10.1007/s00259-023-06313-1},
pmid={37382662},
institution={Beijing Cancer Hospital},
keywords={novel tracer; nanobody; colorectal cancer; CEA},
category={#Clinical}
}
@article{chen2023head,
title={Head-to-head intra-individual comparison of total-body 2-[18F]FDG PET/CT and digital PET/CT in patients with malignant tumor: how sensitive could it be?},
author={Chen, Xueqi and Hu, Pengcheng and Yu, Haojun and Tan, Hui and He, Yibo and Cao, Shuangliang and Zhou, Yun and Shi, Hongcheng},
journal={European Radiology},
volume={33},
number={11},
pages={7890--7898},
year={2023},
doi={10.1007/s00330-023-09825-4},
pmid={37338551},
institution={Zhongshan Hospital},
keywords={image quality},
category={#Clinical}
}
@article{wang2023patlakKi,
title={Patlak-Ki derived from ultra-high sensitivity dynamic total body [18F]FDG PET/CT correlates with the response to induction immuno-chemotherapy in locally advanced non-small cell lung cancer patients},
author={Wang, Daquan and Qiu, Bo and Liu, Qianwen and Xia, Liangping and Liu, Songran and Zheng, Chaojie and Liu, Hui and Mo, Yiwen and Zhang, Xu and Hu, Yingying and Zheng, Shiyang and Zhou, Yin and Fu, Jia and Chen, Naibin and Liu, Fangjie and Zhou, Rui and Guo, Jinyu and Fan, Wei and Liu, Hui},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={11},
pages={3400--3413},
year={2023},
doi={10.1007/s00259-023-06298-x},
pmid={37310427},
institution={Sun Yat-Sen Cancer},
keywords={kinetics; lung cancer},
category={#Clinical}
}
@article{xie2023metabolic,
title={Metabolic and textural changes in the brain of non-small cell lung cancer patients: A total-body positron emission tomography/computed tomography study},
author={Xie, Xue and Lu, Weizhao and Ma, Depeng and Liu, Sijin and Duan, Yanhua and Li, Kun and Cheng, Zhaoping and Qiu, Jianfeng},
journal={iRadiology},
volume={1},
number={2},
pages={109--119},
year={2023},
doi={10.1002/ird3.21},
institution={Qianfoshan Hospital},
keywords={radiomics; lung cancer; systems physiology; neural},
category={#Clinical}
}
@article{sundar2023fully,
title={Fully automated, fast motion correction of dynamic whole-body and total-body PET/CT imaging studies},
author={Sundar, Lalith Kumar Shiyam and Lassen, Martin Lyngby and Gutschmayer, Sebastian and Ferrara, Daria and Calabr{\`o}, Anna and Yu, Josef and Kluge, Kilian and Wang, Yiran and Nardo, Lorenzo and Hasbak, Philip and Kjaer, Andreas and Abdelhafez, Yasser G and Wang, Guobao and Cherry, Simon R and Spencer, Benjamin A and Badawi, Ramsey D and Beyer, Thomas and Muzik, Otto},
journal={J. Nucl. Med.},
volume={64},
number={7},
pages={1145--1153},
year={2023},
doi={10.2967/jnumed.122.265362},
pmid={37290795},
institution={Medical University of Vienna; University of Copenhagen; UC Davis},
keywords={motion; dynamic acquisition},
category={#Algorithm}
}
@article{li202368ga,
title={[68Ga]Ga-FAPI-04 and [18F]FDG PET/CT in a patient with MDA5 dermatomyositis},
author={Li, Jia and Wei, Weijun and Xu, Wenwen and Wu, Wanlong and Liu, Jianjun and Ye, Shuang},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={12},
pages={3790--3791},
year={2023},
doi={10.1007/s00259-023-06291-4},
pmid={37272957},
institution={Renji Hospital},
keywords={FAPI; case; immune; dermatomyositis},
category={#Clinical}
}
@article{huang2023noninvasive,
title={Noninvasive imaging of FAP expression using positron emission tomography: A comparative evaluation of a [18F]-labeled glycopeptide-containing FAPI with [18F]FAPI-42},
author={Huang, Jiawen and Fu, Lilan and Zhang, Xiaojun and Huang, Shun and Dong, Ye and Hu, Kongzhen and Han, Yanjiang and Zhou, Kemin and Min, Cao and Huang, Yanchao and Tang, Ganghua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={11},
pages={3363--3374},
year={2023},
doi={10.1007/s00259-023-06282-5},
pmid={37266596},
institution={Nanfang Hospital},
keywords={FAPI},
category={#Clinical}
}
@article{selfridge2023facial,
title={Facial anonymization and privacy concerns in total-body PET/CT},
author={Selfridge, Aaron R and Spencer, Benjamin A and Abdelhafez, Yasser G and Nakagawa, Keisuke and Tupin, John D and Badawi, Ramsey D},
journal={J. Nucl. Med.},
volume={64},
number={8},
pages={1304--1309},
year={2023},
doi={10.2967/jnumed.122.265280},
pmid={37268426},
institution={UC Davis},
keywords={annonymous},
category={#Other}
}
@article{cheng2023role,
title={Role of breath-hold lung PET in stage IA pulmonary adenocarcinoma},
author={Cheng, Zhaoping and Chen, Li and Wang, Ximing and Wang, Ying and Zhao, Minjie and Zan, Keyu and Liu, Wen and Cui, Xiao and Chai, Leiying and Ge, Min and Li, Kun and Duan, Yanhua},
journal={Insights into Imaging},
volume={14},
pages={100},
year={2023},
doi={10.1186/s13244-023-01446-1},
pmid={37227573},
institution={Qianfoshan Hospital},
keywords={lung cancer; breath hold},
category={#Clinical}
}
@article{ding2023aptamer,
title={The first-in-human whole-body dynamic pharmacokinetics study of aptamer},
author={Ding, Ding and Zhao, Haitao and Wei, Dali and Yang, Qinglai and Yang, Cai and Wang, Ruowen and Chen, Yumei and Li, Lianghua and An, Shuxian and Xia, Qian and Huang, Gang and Liu, Jianjun and Xiao, Zeyu and Tan, Weihong},
journal={Research},
volume={6},
pages={0126},
year={2023},
doi={10.34133/research.0126},
pmid={37223462},
institution={Renji Hospital},
keywords={novel tracer; aptamer; dynamic acquisition},
category={#Physiological}
}
@article{yu2023improved,
title={Improved accuracy of the biodistribution and internal radiation dosimetry of 13N-ammonia using a total-body PET/CT scanner},
author={Yu, Xiaofeng and Sun, Hongyan and Xu, Lian and Han, Yuan and Wang, Cheng and Li, Lianghua and Ng, Yee Ling and Shi, Fuxiao and Qiu, Ju and Huang, Gang and Zhou, Yun and Chen, Yumei and Liu, Jianjun},
journal={Medical Physics},
volume={50},
number={9},
pages={5865--5874},
year={2023},
doi={10.1002/mp.16450},
pmid={37177847},
institution={Renji Hospital},
keywords={ammonia; dosimetry},
category={#Physiological}
}
@article{zhang2023hierarchical,
title={Hierarchical organ-aware total-body standard-dose PET reconstruction from low-dose PET and CT images},
author={Zhang, Jiadong and Cui, Zhiming and Jiang, Caiwen and Guo, Shanshan and Gao, Fei and Shen, Dinggang},
journal={IEEE Transactions on Neural Networks and Learning Systems},
volume={35},
number={10},
pages={13258--13270},
year={2024},
doi={10.1109/TNNLS.2023.3266551},
pmid={37159324},
institution={Shanghai Tech},
keywords={deep learning; low dose; denoising},
category={#Algorithm}
}
@article{katib2023validation,
title={Validation of a Monte Carlo model of the uEXPLORER total-body PET scanner using GATE code},
author={Katib, Mahmoud EL and Sebihi, Rajaa and Saikouk, Hind and Nhila, Oussama},
journal={Radiation Physics and Chemistry},
volume={210},
pages={111052},
year={2023},
doi={10.1016/j.radphyschem.2023.111052},
institution={Ibn Tofail University},
keywords={simulation},
category={#Hardware}
}
@article{wang2023high,
title={High-temporal-resolution lung kinetic modeling using total-body dynamic PET with time-delay and dispersion corrections},
author={Wang, Yiran and Spencer, Benjamin A and Schmall, Jeffrey P and Li, Elizabeth J and Badawi, Ramsey D and Jones, Terry and Cherry, Simon R and Wang, Guobao},
journal={J. Nucl. Med.},
volume={64},
number={7},
pages={1154--1161},
year={2023},
doi={10.2967/jnumed.122.264810},
pmid={37116916},
institution={UC Davis},
keywords={kinetics},
category={#Physiological}
}
@article{surti2023costeffectiveness,
title={Evaluation of cost-effective system designs for long axial field-of-view PET scanners},
author={Surti, Suleman and Werner, Matthew E and Karp, Joel S},
journal={Physics in Medicine \& Biology},
volume={68},
pages={105012},
year={2023},
doi={10.1088/1361-6560/accf5d},
pmid={37084744},
institution={UPenn},
keywords={reviews; management},
category={#Other}
}
@article{liu2023comparison,
title={Comparison of renal clearance of [18F]AlF-RESCA-HER2-BCH and [18F]AlF-NOTA-HER2-BCH in mice and breast cancer patients},
author={Liu, Jiayue and Guo, Xiaoyi and Wen, Li and Wang, Lixin and Liu, Futao and Song, Guohong and Zhu, Hua and Zhou, Nina and Yang, Zhi},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={9},
pages={2775--2786},
year={2023},
doi={10.1007/s00259-023-06232-1},
pmid={37093312},
institution={Beijing Cancer Hospital},
keywords={novel tracer; HER2; breast cancer; renal; affibody},
category={#Clinical}
}
@article{dimitrakopoulou2023long,
title={Long axial field of view (LAFOV) PET-CT: implementation in static and dynamic oncological studies},
author={Dimitrakopoulou-Strauss, Antonia and Pan, Leyun and Sachpekidis, Christos},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={11},
pages={3354--3362},
year={2023},
doi={10.1007/s00259-023-06222-3},
pmid={37079129},
institution={German Cancer Research Center},
keywords={reviews; dynamic acquisition},
category={#Other}
}
@article{li2023metabolicmethionine,
title={Metabolic kinetic modeling of [11C]methionine based on total-body PET in multiple myeloma},
author={Li, Jiajin and Ni, Beiwen and Yu, Xiaofeng and Wang, Cheng and Li, Lianghua and Zhou, Yun and Gu, Yue and Huang, Gang and Hou, Jian and Liu, Jianjun and Chen, Yumei},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={9},
pages={2683--2691},
year={2023},
doi={10.1007/s00259-023-06219-y},
pmid={37039900},
institution={Renji Hospital},
keywords={immune; multiple myeloma; methionine; kinetics},
category={#Physiological}
}
@article{fu2023twobranch,
title={A two-branch neural network for short-axis PET image quality enhancement},
author={Fu, Minghan and Wang, Meiyun and Wu, Yaping and Zhang, Na and Yang, Yongfeng and Wang, Haining and Zhou, Yun and Shang, Yue and Wu, Fangxiang and Zheng, Hairong and Liang, Dong and Hu, Zhanli},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={27},
number={6},
pages={2864--2875},
year={2023},
doi={10.1109/JBHI.2023.3260180},
pmid={37030746},
institution={SIAT, CAS},
keywords={deep learning; denoising},
category={#Algorithm}
}
@article{chi2023comparative,
title={A comparative study of 18F-FAPI-42 and 18F-FDG PET/CT for evaluating acute kidney injury in cancer patients},
author={Chi, Xiaohua and Yang, Xiaoqiang and Li, Guiping and Wu, Hubing and Huang, Jiawen and Qi, Yongshuai and Tang, Ganghua},
journal={Molecular Imaging and Biology},
volume={25},
number={4},
pages={671--680},
year={2023},
doi={10.1007/s11307-023-01820-x},
pmid={37020127},
institution={Nanfang Hospital},
keywords={FAPI; kidney},
category={#Clinical}
}
@article{ChildInvoluntary,
title={PET/CT scan without sedation: how to use total-body PET/CT to salvage child’s involuntary movement?},
author={Li, Yongjiang and Wang, Juan and Hu, Junfeng and Jia, Jin and Sun, Hongyan and Zhao, Yumo and Hu, Yingying},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={9},
pages={2912--2913},
year={2023},
doi={10.1007/s00259-023-06208-1},
pmid={36973518},
institution={Sun Yat-Sen Cancer},
keywords={case; pediatrics; motion},
category={#Clinical}
}
@article{liu2023FAPIplusFDG,
title={One-stop [18F]FDG and [68Ga]Ga-DOTA-FAPI-04 total-body PET/CT examination with dual-low activity: a feasibility study},
author={Liu, Guobing and Mao, Wujian and Yu, Haojun and Hu, Yan and Gu, Jianying and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={8},
pages={2271--2281},
year={2023},
doi={10.1007/s00259-023-06207-2},
pmid={36971806},
institution={Zhongshan Hospital},
keywords={FAPI; low dose; dual tracer},
category={#Clinical}
}
@article{adili2023Takayasu,
title={An exploration of the feasibility and clinical value of half-dose 5-h total-body 18F-FDG PET/CT scan in patients with Takayasu arteritis},
author={Adili, Dilibire and Cai, Danjie and Wu, Bing and Yu, Haojun and Gu, Yushen and Zhang, Yiqiu and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={8},
pages={2375--2385},
year={2023},
doi={10.1007/s00259-023-06168-6},
pmid={36864361},
institution={Zhongshan Hospital},
keywords={low dose; cardiovascular; delayed imaging},
category={#Clinical}
}
@article{urso2023clinical,
title={Clinical applications of long axial field-of-view PET/CT scanners in oncology},
author={Urso, Luca and Frantellizzi, Viviana and De Vincentis, Giuseppe and Schillaci, Orazio and Filippi, Luca and Evangelista, Laura},
journal={Clinical and Translational Imaging},
volume={11},
number={4},
pages={365--380},
year={2023},
doi={10.1007/s40336-023-00547-7},
institution={University of Ferrara},
keywords={reviews},
category={#Clinical}
}
@article{liu2023neuroendocrine,
title={Neuroendocrine neoplasms: Total-body PET/computed tomography},
author={Liu, Guobing and Qi, Chi and Shi, Hongcheng},
journal={PET Clinics},
volume={18},
number={2},
pages={251--257},
year={2023},
doi={10.1016/j.cpet.2022.11.010},
pmid={36858747},
institution={Zhongshan Hospital},
keywords={DOTATATE; neuroendocrine; low dose; reviews},
category={#Clinical}
}
@article{huang2023optimal,
title={Optimal clinical protocols for total-body 18F-FDG PET/CT examination under different activity administration plans},
author={Huang, Yanchao and Wang, Meng and Jiang, Li and Wang, Lijuan and Chen, Li and Wang, Qiaoyu and Feng, Jiatai and Wang, Jingyi and Xu, Wanbang and Wu, Hubing and Han, Yanjiang},
journal={EJNMMI Physics},
volume={10},
number={1},
pages={14},
year={2023},
doi={10.1186/s40658-023-00533-y},
pmid={36808378},
institution={Nanfang Hospital},
keywords={low dose},
category={#Clinical}
}
@article{tan2023ultralow,
title={Ultralow-dose [18F]FDG PET/CT imaging: demonstration of feasibility in dynamic and static images},
author={Tan, Hui and Qi, Chi and Cao, Yanyan and Cai, Danjie and Mao, Wujian and Yu, Haojun and Sui, Xiuli and Liu, Guobing and Shi, Hongcheng},
journal={European Radiology},
volume={33},
number={7},
pages={5017--5027},
year={2023},
doi={10.1007/s00330-023-09389-3},
pmid={36688971},
institution={Zhongshan Hospital},
keywords={dynamic acquisition; low dose},
category={#Physiological}
}
@article{Line2022NEMA_CJMP,
title={基于uEXPLORER PET-CT机的NEMA标准性能检测方法},
author={凌文嘉 and 林晓琴 and 龚琬玲 and 陈曼珊},
journal={中国医学物理学杂志},
volume={39},
number={9},
year={2022},
doi={10.3969/j.issn.1005-202X.2022.09.018},
institution={Guangdong People's Hospital},
keywords={performance evaluation},
category={#Hardware}
}
@article{yin2023dynamicDOTATAATE,
title={Dynamic total-body PET/CT imaging reveals kinetic distribution of 68Ga-DOTATATE in normal organs},
author={Yin, Hongyan and Liu, Guobing and Hu, Yan and Xiao, Jie and Mao, Wujian and Lv, Jing and Yu, Haojun and Lin, Qingyu and Cheng, Dengfeng and Shi, Hongcheng},
journal={Contrast Media \& Molecular Imaging},
volume={2023},
pages={4722499},
year={2023},
doi={10.1155/2023/4722499},
pmid={36713636},
institution={Zhongshan Hospital},
keywords={DOTATATE; kinetics},
category={#Physiological}
}
@article{abdelhafez202318fgallbladder,
title={18F-FDG gallbladder uptake: observation from a total-body PET/CT scanner},
author={Abdelhafez, Yasser G and Triumbari, Elizabeth KA and Spencer, Benjamin A and {Chen Jr}, Moon S and Albano, Domenico and Cassim, Christopher R and Bertagna, Francesco and Dondi, Francesco and Cherry, Simon R and Badawi, Ramsey D and Sen, Fatma and Nardo, Lorenzo},
journal={BMC Medical Imaging},
volume={23},
number={1},
pages={9},
year={2023},
doi={10.1186/s12880-022-00957-5},
pmid={36627570},
institution={UC Davis},
keywords={gallbladder},
category={#Clinical}
}
@article{du2023technicalmicerat,
title={Technical opportunities and challenges in developing total-body PET scanners for mice and rats},
author={Du, Junwei and Jones, Terry},
journal={EJNMMI Physics},
volume={10},
pages={2},
year={2023},
doi={10.1186/s40658-022-00523-6},
pmid={36592266},
institution={UC Davis},
keywords={miniExplorer; reviews},
category={#Hardware}
}
@article{hu2023ultraCT,
title={Ultra-low-dose CT reconstructed with the artificial intelligence iterative reconstruction algorithm (AIIR) in 18F-FDG total-body PET/CT examination: a preliminary study},
author={Hu, Yan and Zheng, Zhe and Yu, Haojun and Wang, Jingyi and Yang, Xinlan and Shi, Hongcheng},
journal={EJNMMI Physics},
volume={10},
pages={1},
year={2023},
doi={10.1186/s40658-022-00521-8},
pmid={36592256},
institution={Zhongshan Hospital},
keywords={deep learning; low dose; CT},
category={#Clinical}
}
@article{chen2023firstFAPI04,
title={First total-body kinetic modeling and parametric imaging of dynamic 68Ga-FAPI-04 PET in pancreatic and gastric cancer},
author={Chen, Ruohua and Yang, Xinlan and Ng, Yee Ling and Yu, Xiaofeng and Huo, Yanmiao and Xiao, Xiuying and Zhang, Chenpeng and Chen, Yumei and Zheng, Chaojie and Li, Lianghua and Huang, Gang and Zhou, Yun and Liu, Jianjun},
journal={J. Nucl. Med.},
volume={64},
number={6},
pages={960--967},
year={2023},
doi={10.2967/jnumed.122.264988},
pmid={36604180},
institution={Renji Hospital; United Imaging},
keywords={FAPI; kinetics; gastrointestinal tumors; pancreatic cancer},
category={#Physiological}
}
@article{xiao2022personalDOTATATE,
title={A personal acquisition time regimen of 68Ga-DOTATATE total-body PET/CT in patients with neuroendocrine tumor (NET): A feasibility study},
author={Xiao, Jie and Yu, Haojun and Sui, Xiuli and Liu, Guobing and Cao, Yanyan and Yanzhao, Zhao and Zhang, Yiqiu and Hu, Pengcheng and Cheng, Dengfeng and Shi, Hongcheng},
journal={Cancer Imaging},
volume={22},
pages={78},
year={2022},
doi={10.1186/s40644-022-00517-8},
pmid={36578034},
institution={Zhongshan Hospital},
keywords={DOTATATE; neuroendocrine},
category={#Clinical}
}
@article{liu2022respiratory,
title={Respiratory-gated PET imaging with reduced acquisition time for suspect malignancies: the first experience in application of total-body PET/CT},
author={Liu, Guobing and Chen, Shuguang and Hu, Yan and Cao, Shuangliang and Yang, Xinlan and Zhou, Yun and Shi, Hongcheng},
journal={European Radiology},
volume={33},
number={5},
pages={3366--3376},
year={2023},
doi={10.1007/s00330-022-09369-z},
pmid={36565352},
institution={Zhongshan Hospital},
keywords={motion; fast; gating},
category={#Clinical}
}
@article{qi2022artificial,
title={An artificial intelligence-driven image quality assessment system for whole-body [18F]FDG PET/CT},
author={Qi, Chi and Wang, Shuo and Yu, Haojun and Zhang, Yiqiu and Hu, Pengcheng and Tan, Hui and Shi, Yonghong and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={5},
pages={1318--1328},
year={2023},
doi={10.1007/s00259-022-06078-z},
pmid={36529840},
institution={Zhongshan Hospital},
keywords={image quality; deep learning},
category={#Clinical}
}
@article{wang2022deep,
title={Deep progressive learning achieves whole-body low-dose 18F-FDG PET imaging},
author={Wang, Taisong and Qiao, Wenli and Wang, Ying and Wang, Jingyi and Lv, Yang and Dong, Yun and Qian, Zheng and Xing, Yan and Zhao, Jinhua},
journal={EJNMMI Physics},
volume={9},
number={1},
pages={82},
year={2022},
doi={10.1186/s40658-022-00508-5},
pmid={36414772},
institution={Shanghai General Hospital},
keywords={deep learning; DPR},
category={#Clinical}
}
@article{wang2022casemenigioma,
title={Rare pulmonary metastases of atypical meningioma diagnosed on total-body 18F-FDG PET/CT},
author={Wang, Qing and Wei, Weijun and Cao, Min},
journal={American Journal of Nuclear Medicine and Molecular Imaging},
volume={12},
number={5},
pages={163--165},
year={2022},
pmid={36419587},
institution={Renji Hospital},
keywords={case; neural},
category={#Clinical}
}
@article{chen2022fapidyn,
title={Tumor-to-blood ratio for assessment of fibroblast activation protein receptor density in pancreatic cancer using [68Ga]Ga-FAPI-04},
author={Chen, Ruohua and Yang, Xinlan and Yu, Xiaofeng and Zhou, Xiang and Ng, Yee Ling and Zhao, Haitao and Li, Lianghua and Huang, Gang and Zhou, Yun and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={3},
pages={929--936},
year={2023},
doi={10.1007/s00259-022-06010-5},
pmid={36334106},
institution={Renji Hospital; United Imaging},
keywords={FAPI; kinetics},
category={#Clinical}
}
@article{duan2022immunoglobulin,
title={Immunoglobulin G4-related aortitis/periaortitis: Total-body 18F-fluorodeoxyglucose positron emission tomography dynamic imaging},
author={Duan, Yanhua and Wang, Ximing and Cheng, Zhaoping},
journal={Circulation: Cardiovascular Imaging},
volume={16},
number={3},
pages={294--297},
year={2023},
doi={10.1161/CIRCIMAGING.122.014176},
pmid={36330801},
institution={Qianfoshan Hospital},
keywords={case; dynamic acquisition; cardiovascular; immune},
category={#Clinical}
}
@article{chen2022feasibility,
title={The feasibility of ultra-early and fast total-body [68Ga]Ga-FAPI-04 PET/CT scan},
author={Chen, Ruohua and Yang, Xinlan and Yu, Xiaofeng and Zhou, Xiang and Ng, Yee Ling and Chen, Yumei and Li, Lianghua and Zhou, Yun and Huang, Gang and Liu, Jianjun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={50},
number={3},
pages={661--666},
year={2023},
doi={10.1007/s00259-022-06004-3},
pmid={36308535},
institution={Renji Hospital},
keywords={FAPI},
category={#Clinical}
}
@article{filippi2022long2,
title={Long axial field-of-view PET/CT devices: are we ready for the technological revolution?},
author={Filippi, Luca and Dimitrakopoulou-Strauss, Antonia and Evangelista, Laura and Schillaci, Orazio},
journal={Expert Review of Medical Devices},
volume={19},
number={10},
pages={739--743},
year={2022},
doi={10.1080/17434440.2022.2141111},
pmid={36305463},
institution={Other Institutions},
keywords={reviews; PennPET; PSMA},
category={#Other}
}
@article{lu2022atlas,
title={An atlas of glucose uptake across the entire human body as measured by the total-body PET/CT scanner: a pilot study},
author={Lu, Weizhao and Cheng, Zhaoping and Xie, Xue and Li, Kun and Duan, Yanhua and Li, Min and Ma, Chao and Liu, Sijin and Qiu, Jianfeng},
journal={Life Metabolism},
volume={1},
number={2},
pages={190--199},
year={2022},
doi={10.1093/lifemeta/loac030},
pmid={39872349},
institution={Qianfoshan Hospital},
keywords={metabolism},
category={#Clinical}
}
@article{wang2022pleural,
title={An initial study on the comparison of diagnostic performance of 18F-FDG PET/MR and 18F-FDG PET/CT for thoracic staging of non-small cell lung cancer: Focus on pleural invasion},
author={Wang, Mali and Zhang, He and Yu, Haojun and Tan, Hui and Hu, Lingzhi and Kong, Hanjing and Mao, Wujian and Xiao, Jie and Shi, Hongcheng},
journal={Revista Espa{\~n}ola de Medicina Nuclear e Imagen Molecular},
volume={42},
number={1},
pages={16--23},
year={2023},
doi={10.1016/j.remnie.2021.12.007},
pmid={36243657},
institution={Zhongshan Hospital},
keywords={lung cancer; PET/MR},
category={#Clinical}
}
@article{hu2022predictive,
title={The predictive value of total-body PET/CT in non-small cell lung cancer for the PD-L1 high expression},
author={Hu, Bingxin and Jin, Huibin and Li, Xiali and Wu, Xinyu and Xu, Junling and Gao, Yongju},
journal={Frontiers in Oncology},
pages={5080},
year={2022},
doi={10.3389/fonc.2022.943933},
pmid={36212409},
institution={Henan People's Hospital},
keywords={lung cancer; PD-L1},
category={#Clinical}
}
@article{zhang2022metastatic,
title={Metastatic prostate adenocarcinoma with neuroendocrine differentiation on 18F-FDG PET/CT, 68Ga-PSMA PET/CT and 68Ga-DOTA TATE PET/CT with injected ultra-low-activity},
author={Zhang, Yiqiu and He, Yibo and Yu, Haojun and Shi, Hongcheng},
journal={M{\'e}decine Nucl{\'e}aire},
volume={46},
number={5},
pages={224--226},
year={2022},
doi={10.1016/j.mednuc.2022.09.002},
institution={Zhongshan Hospital},
keywords={PSMA; DOTATATE; neuroendocrine; prostate cancer; case},
category={#Clinical}
}
@article{omidvari2022lutetium,
title={Lutetium background radiation in total-body PET --- A simulation study on opportunities and challenges in PET attenuation correction},
author={Omidvari, Negar and Cheng, Li and Leung, Edwin K and Abdelhafez, Yasser G and Badawi, Ramsey D and Ma, Tianyu and Qi, Jinyi and Cherry, Simon R},
journal={Frontiers in Nuclear Medicine},
volume={2},
pages={963067},
year={2022},
doi={10.3389/fnume.2022.963067},
pmid={36172601},
institution={UC Davis},
keywords={correction; attenuation; CT-free},
category={#Hardware}
}
@article{derlin2022vesselwall,
title={Exploring vessel wall biology in vivo by ultra-sensitive total-body poositron emission tomography},
author={Derlin, Thorsten and Spencer, Benjamin A and Mamach, Martin and Abdelhafez, Yasser G and Nardo, Lorenzo and Badawi, Ramsey D and Cherry, Simon R and Bengel, Frank M},
journal={J. Nucl. Med.},
volume={64},
number={3},
pages={416--422},
year={2023},
doi={10.2967/jnumed.122.264550},
pmid={36175139},
institution={UC Davis; Hannover Medical School},
keywords={cardiovascular},
category={#Clinical}
}
@article{tang2022significant,
title={Significant CT dose reduction of 2-[18F]FDG PET/CT in pretreatment pediatric lymphoma without compromising the diagnostic and staging efficacy},
author={Tang, Si and Hu, Yingying and Zeng, Jiling and Li, Zhijian and Jiang, Yongluo and Li, Yinghe and Wang, Jingyi and Sun, Hongyan and Wu, Xiao and Zhou, Yun and Zhang, Xu and Zhao, Yumo},
journal={European Radiology},
volume={33},
number={3},
pages={2248--2257},
year={2023},
doi={10.1007/s00330-022-09145-z},
pmid={36166086},
institution={Sun Yat-Sen Cancer},
keywords={low dose; pediatrics; lymphoma},
category={#Clinical}
}
@article{Sun2022DualTimeWindow,
title={Comparison between a dual-time-window protocol and other simplified protocols for dynamic total-body 18F-fluorodeoxyglucose PET imaging},
author={Wang, Zhenguo and Wu, Yaping and Li, Xiaochen and Bai, Yan and Chen, Hongzhao and Ding, Jie and Shen, Chushu and Hu, Zhanli and Liang, Dong and Liu, Xin and Zheng, Hairong and Yang, Yongfeng and Zhou, Yun and Wang, Meiyun and Sun, Tao},
journal={EJNMMI Physics},
volume={9},
number={1},
pages={63},
year={2022},
doi={10.1186/s40658-022-00492-w},
pmid={36104580},
institution={SIAT, CAS; Henan People's Hospital},
keywords={kinetics},
category={#Algorithm}
}
@article{Sun2022MoCo,
title={Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET},
author={Sun, Tao and Wu, Yaping and Wei, Wei and Fu, Fangfang and Meng, Nan and Chen, Hongzhao and Li, Xiaochen and Bai, Yan and Wang, Zhenguo and Ding, Jie and Hu, Debin and Chen, Chaojie and Hu, Zhanli and Liang, Dong and Liu, Xin and Zheng, Hairong and Yang, Yongfeng and Zhou, Yun and Wang, Meiyun},
journal={EJNMMI Physics},
volume={9},
number={1},
pages={62},
year={2022},
doi={10.1186/s40658-022-00493-9},
pmid={36104468},
institution={SIAT, CAS; Henan People's Hospital},
keywords={dynamic acquisition; correction; motion},
category={#Algorithm}
}
@article{he2022small,
title={Small intestinal hemangioma with chronic ulcer misdiagnosed as malignant tumor on the preoperative 18F-FDG PET/CT and PET/MR},
author={He, Yibo and Zhang, Yiqiu and Chen, Xinning and Ge, Xiangyu and Shi, Hongcheng},
journal={M{\'e}decine Nucl{\'e}aire},
volume={46},
number={5},
pages={216--218},
year={2022},
doi={10.1016/j.mednuc.2022.08.003},
institution={Zhongshan Hospital},
keywords={case; gastrointestinal tumors; PET/MR},
category={#Clinical}
}
@article{daube2022review,
title={Total-body PET: a new paradigm for molecular imaging},
author={Daube-Witherspoon, Margaret E and Pantel, Austin R and Pryma, Daniel and Karp, Joel S},
journal={British Journal of Radiology},
volume={95},
number={1140},
pages={20220357},
year={2022},
doi={10.1259/bjr.20220357},
pmid={35993615},
institution={UPenn},
keywords={reviews; PennPET},
category={#Other}
}
@article{chen2022effectivedataprocessing,
title={Accurate total-body $K_i$ parametric imaging with shortened dynamic 18F-FDG PET scan durations via effective data processing},
author={Chen, Zixiang and Cheng, Zhaoping and Duan, Yanhua and Zhang, Qiyang and Zhang, Na and Gu, Fengyun and Wang, Ying and Zhou, Yun and Wang, Haining and Liang, Dong and Zheng, Hairong and Hu, Zhanli},
journal={Medical Physics},
volume={50},
number={4},
pages={2121--2134},
year={2023},
doi={10.1002/mp.15893},
pmid={35950784},
institution={SIAT, CAS; Qianfoshan Hospital; United Imaging},
keywords={kinetics},
category={#Algorithm}
}
@article{huang2022tg,
title={TG-Net: Combining transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner},
author={Huang, Zhengyong and Tang, Si and Chen, Zixiang and Wang, Guoshuai and Shen, Hao and Zhou, Yun and Wang, Haining and Fan, Wei and Liang, Dong and Hu, Yingying and Hu, Zhanli},
journal={Computers in Biology and Medicine},
volume={148},
pages={105869},
year={2022},
doi={10.1016/j.compbiomed.2022.105869},
pmid={35905660},
institution={SIAT, CAS; Sun Yat-Sen Cancer},
keywords={dynamic acquisition; nasopharyngeal; deep learning; segmentation},
category={#Algorithm}
}
@article{lv2022feasibilitydynamic,
title={The feasibility of ultralow-activity 18F-FDG dynamic PET imaging in lung adenocarcinoma patients through total-body PET/CT scanner},
author={Lv, Jing and Yin, Hongyan and Yu, Haojun and Liu, Guobing and Shi, Hongcheng},
journal={Annals of Nuclear Medicine},
volume={36},
number={10},
pages={887--896},
year={2022},
doi={10.1007/s12149-022-01772-2},
pmid={35857172},
institution={Zhongshan Hospital},
keywords={kinetics; lung cancer; low dose},
category={#Physiological}
}
@article{wang2022assessingdynamic,
title={Assessing dynamic metabolic heterogeneity in non-small cell lung cancer patients via ultra-high sensitivity total-body [18F]FDG PET/CT imaging: quantitative analysis of [18F]FDG uptake in primary tumors and metastatic lymph nodes},
author={Wang, Daquan and Zhang, Xu and Liu, Hui and Qiu, Bo and Liu, Songran and Zheng, Chaojie and Fu, Jia and Mo, Yiwen and Chen, Naibin and Zhou, Rui and Chu, Chu and Liu, Fangjie and Guo, Jinyu and Zhou, Yin and Fan, Wei and Liu, Hui},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={13},
pages={4692--4707},
year={2022},
doi={10.1007/s00259-022-05904-8},
pmid={35819498},
institution={Sun Yat-Sen Cancer},
keywords={kinetics; lung cancer},
category={#Clinical}
}
@article{he2021optimizingEJNMMIPhysics,
title={Optimizing acquisition times for total-body positron emission tomography/computed tomography with half-dose 18F-fluorodeoxyglucose in oncology patients},
author={He, Yibo and Gu, Yushen and Yu, Haojun and Wu, Bing and Wang, Siyang and Tan, Hui and Cao, Yanyan and Chen, Shuguang and Sui, Xiuli and Zhang, Yiqiu and Shi, Hongcheng},
journal={EJNMMI Physics},
volume={9},
number={1},
pages={45},
year={2022},
doi={10.1186/s40658-022-00474-y},
pmid={35802280},
institution={Zhongshan Hospital},
keywords={low dose},
category={#Clinical}
}
@article{chen2022evaluation,
title={Evaluation of pediatric malignancies using total-body PET/CT with half dose 18F-FDG},
author={Chen, Wanqi and Liu, Lei and Li, Yinghe and Li, Shatong and Li, Zhijian and Zhang, Weiguang and Zhang, Xu and Hu, Debin and Sun, Hongyan and Zhou, Yun and Fan, Wei and Zhao, Yumo and Zhang, Yizhuo and Hu, Yingying},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={12},
pages={4145--4155},
year={2022},
doi={10.1007/s00259-022-05893-8},
pmid={35788704},
institution={Sun Yat-Sen Cancer},
keywords={pediatrics; low dose},
category={#Clinical}
}
@article{sundar2022fully,
title={Fully automated, semantic segmentation of whole-body 18F-FDG PET/CT images based on data-centric artificial intelligence},
author={Sundar, Lalith Kumar Shiyam and Yu, Josef and Muzik, Otto and Kulterer, Oana and Fueger, Barbara J and Kifjak, Daria and Nakuz, Thomas and Shin, Hiyung Min and Sima, Annika Katharina and Kitzmantl, Daniela and Badawi, Ramsey D and Nardo, Lorenzo and Cherry, Simon R and Spencer, Benjamin A and Hacker, Marcus and Beyer, Thomas},
journal={J. Nucl. Med.},
volume={63},
number={12},
pages={1941--1948},
year={2022},
doi={10.2967/jnumed.122.264063},
pmid={35772962},
institution={Medical University of Vienna; UC Davis},
keywords={segmentation; deep learning},
category={#Algorithm}
}
@article{yu2022expert,
title={Expert consensus on oncological [18F] FDG total-body PET/CT imaging (version 1)},
author={Yu, Haojun and Gu, Yushen and Fan, Wei and Gao, Yongju and Wang, Meiyun and Zhu, Xiaohua and Wu, Zhifang and Liu, Jianjun and Li, Biao and Wu, Hubing and Cheng, Zhaoping and Wang, Shuxia and Zhang, Yiqiu and Xu, Baixuan and Li, Sijin and Shi, Hongcheng},
journal={European Radiology},
volume={33},
pages={615--626},
year={2022},
doi={10.1007/s00330-022-08960-8},
pmid={35751696},
institution={Zhongshan Hospital; Sun Yat-Sen Cancer; Henan People's Hospital; Renji Hospital; Nanfang Hospital; Qianfoshan Hospital; Guangdong People's Hospital},
keywords={consensus},
category={#Clinical}
}
@article{tan2022half,
title={Half-dose versus full-dose 18F-FDG total-body PET/CT in patients with colorectal cancer},
author={Tan, Hui and Mao, Wujian and Cao, Yanyan and Cai, Danjie and Sui, Xiuli and Qi, Chi and Yu, Haojun and Zhang, Yiqiu and Shi, Hongcheng},
journal={Nuclear Medicine Communications},
volume={43},
number={8},
pages={928--936},
year={2022},
doi={10.1097/MNM.0000000000001589},
pmid={35634804},
institution={Zhongshan Hospital},
keywords={low dose; colorectal cancer},
category={#Clinical}
}
@article{leung2022PSNR,
title={Relating 18F-FDG image signal-to-noise ratio to time-of-flight noise-equivalent count rate in total-body PET using the uEXPLORER scanner},
author={Leung, Edwin K and Abdelhafez, Yasser G and Berg, Eric and Xie, Zhaoheng and Zhang, Xuezhu and Bayerlein, Reimund and Spencer, Benjamin A and Li, Elizabeth J and Omidvari, Negar and Selfridge, Aaron R and Cherry, Simon R and Qi, Jinyi and Badawi, Ramsey D},
journal={Physics in Medicine \& Biology},
volume={67},
number={12},
pages={125007},
year={2022},
doi={10.1088/1361-6560/ac72f1},
pmid={35609588},
institution={UC Davis},
keywords={phantom},
category={#Hardware}
}
@article{chen2022high,
title={High temporal resolution total-body dynamic PET imaging based on pixel-level time-activity curve correction},
author={Chen, Zixiang and Wu, Yaping and Zhang, Na and Sun, Tao and Shen, Yu and Zheng, Hairong and Liang, Dong and Wang, Meiyun and Hu, Zhanli},
journal={IEEE Transactions on Biomedical Engineering},
volume={69},
number={12},
pages={3689--3702},
year={2022},
doi={10.1109/TBME.2022.3176097},
pmid={35594213},
institution={SIAT, CAS; Henan People's Hospital},
keywords={dynamic acquisition; TAC denoising},
category={#Algorithm}
}
@article{abdelhaarthritis,
title={Total-Body 18F-FDG PET/CT in autoimmune inflammatory arthritis at ultra-low dose: Initial observations},
author={Abdelhafez, Yasser G and Raychaudhuri, Siba P and Mazza, Dario F and Sarkar, Soumajyoti and Hunt, Heather and McBride, Kristin and Nguyen, Mike and Caudle, Denise T and Spencer, Benjamin A and Omidvari, Negar and Heejung, Bang and Cherry, Simon R and Nardo, Lorenzo and Badawi, Ramsey D and Chaudhari, Abhijit J},
journal={J. Nucl. Med.},
volume={63},
number={6},
pages={1579--11585},
year={2022},
doi={10.2967/jnumed.121.263774},
pmid={35589405},
institution={UC Davis},
keywords={musculoskeletal; arthritis},
category={#Clinical}
}
@article{zhang2022ultrafast,
title={Ultrafast 30-s total-body PET/CT scan: a preliminary study},
author={Zhang, Yiqiu and Hu, Pengcheng and He, Yibo and Yu, Haojun and Tan, Hui and Liu, Guobing and Gu, Jianying and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={8},
pages={2504--2513},
year={2022},
doi={10.1007/s00259-022-05838-1},
pmid={35578037},
institution={Zhongshan Hospital},
keywords={fast},
category={#Clinical}
}
@article{sun2022identifying,
title={Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging},
author={Sun, Tao and Wang, Zhenguo and Wu, Yaping and Gu, Fengyun and Li, Xiaochen and Bai, Yan and Shen, Chushu and Hu, Zhanli and Liang, Dong and Liu, Xin and Zheng, Hairong and Yang, Yongfeng and Fakhri, Georges El and Zhou, Yun and Wang, Meiyun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={8},
pages={2004--3004},
year={2022},
doi={10.1007/s00259-022-05832-7},
pmid={35567627},
institution={SIAT, CAS; Henan People's Hospital},
keywords={systems physiology; metabolism},
category={#Physiological}
}
@article{tan2022physiologically,
title={Physiologically intense FDG uptake of distal spinal cord on total-body PET/CT},
author={Tan, Xiaoyue and Li, Dongjiang and Wu, Xiaodong and Yang, Yong and Hou, Qingyi and He, Li and Jiang, Lei},
journal={Annals of Nuclear Medicine},
volume={36},
number={7},
pages={643--650},
year={2022},
doi={10.1007/s12149-022-01747-3},
pmid={35536533},
institution={Guangdong People's Hospital},
keywords={artifact; musculoskeletal},
category={#Clinical}
}
@article{abdelhafez2022blanching,
title={Blanching defects at the pressure points: Observations from dynamic total-body PET/CT studies},
author={Abdelhafez, Yasser G and McBride, Kristin and Leung, Edwin K and Hunt, Heather and Spencer, Benjamin A and Lopez, Javier E and Atsina, Kwame and Li, Elizabeth J and Wang, Guobao and Cherry, Simon R and Badawi, Ramsey D and Sen, Fatma and Nardo, Lorenzo},
journal={Journal of Nuclear Medicine Technology},
volume={50},
number={4},
pages={327--334},
year={2022},
doi={10.2967/jnmt.122.263905},
pmid={35440473},
institution={UC Davis},
keywords={dynamic acquisition; artifact},
category={#Other}
}
@article{wu2022total,
title={Total-body parametric imaging using the patlak model: Feasibility of reduced scan time},
author={Wu, Yaping and Feng, Tao and Shen, Yu and Fu, Fangfang and Meng, Nan and Li, Xiaochen and Xu, Tianyi and Sun, Tao and Gu, Fengyun and Wu, Qi and Zhou, Yun and Han, Hui and Bai, Yan and Wang, Meiyun},
journal={Medical Physics},
volume={49},
number={7},
pages={4529--4539},
year={2022},
doi={10.1002/mp.15647},
pmid={35394071},
institution={Henan People's Hospital; United Imaging},
keywords={kinetics; fast},
category={#Physiological}
}
@article{wang2022monoaminergic,
title={High resolution and high sensitivity PET for quantitative molecular imaging of the monoaminergic nuclei: A GATE simulation study},
author={Wang, Zipai and Cao, Xinjie and LaBella, Andy and Zeng, Xinjie and Biegon, Anat and Franceschi, Dinko and Petersen, Eric and Clayton, Nicholas and Ulaner, Gary A and Zhao, Wei and Goldan, Amir H},
journal={Medical Physics},
volume={49},
number={7},
pages={4430--4444},
year={2022},
doi={10.1002/mp.15653},
pmid={35390182},
institution={Stony Brook U.},
keywords={simulation},
category={#Algorithm}
}
@article{shang2022dlcyclegan,
title={Short-axis PET image quality improvement by attention cycleGAN using total-body PET},
author={Shang, Chong and Zhao, Guohua and Li, Yamei and Yuan, Jianmin and Wang, Meiyun and Wu, Yaping and Lin, Yusong},
journal={Journal of Healthcare Engineering},
volume={2022},
year={2022},
doi={10.1155/2022/4247023},
pmid={35368959},
institution={Zhengzhou University; Henan People's Hospital},
keywords={deep learning; denoising},
page={4247023},
category={#Algorithm}
}
@article{hu2022campareliver,
title={Diagnostic performance of total-body 18F-FDG PET/CT with fast 2-min acquisition for liver tumor: Comparison with conventional PET/CT},
author={Hu, Yan and Liu, Guobing and Yu, Haojun and Gu, Jianying and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={10},
pages={3538--3546},
year={2022},
doi={10.1007/s00259-022-05772-2},
pmid={35344063},
institution={Zhongshan Hospital},
keywords={liver lesion; fast},
category={#Clinical}
}
@article{huang2022parametricdl,
title={Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning},
author={Huang, Zhenxing and Wu, Yaping and Fu, Fangfang and Meng, Nan and Gu, Fengyun and Wu, Qi and Zhou, Yun and Yang, Yongfeng and Liu, Xin and Zheng, Hairong and Liang, Dong and Wang, Meiyun and Hu, Zhanli},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={8},
pages={2482--2492},
year={2022},
doi={10.1007/s00259-022-05731-x},
pmid={35312030},
institution={SIAT, CAS; Henan People's Hospital},
keywords={kinetics; deep learning},
category={#Algorithm; #Physiological}
}
@article{pantel2022change,
title={Total-body PET: Will it change science and practice?},
author={Pantel, Austin R and Mankoff, David A and Karp, Joel S},
journal={J. Nucl. Med.},
volume={63},
number={5},
pages={646--648},
year={2022},
doi={10.2967/jnumed.121.263481},
pmid={35273091},
institution={UPenn},
keywords={reviews},
category={#Clinical}
}
@article{ng2022ClinicalExperiences,
title={Total-body PET/CT--first clinical experiences and future perspectives},
author={Ng, Quinn Kwan-Tai and Triumbari, Elizabeth KA and Omidvari, Negar and Cherry, Simon R and Badawi, Ramsey D and Nardo, Lorenzo},
journal={Seminars in Nuclear Medicine},
volume={52},
number={3},
pages={330-339},
year={2022},
doi={10.1053/j.semnuclmed.2022.01.002},
pmid={35272853},
institution={UC Davis},
keywords={reviews},
category={#Clinical}
}
@article{sui2022BMIrecon,
title={Exploration of the total-body PET/CT reconstruction protocol with ultra-low 18F-FDG activity over a wide range of patient body mass indices},
author={Sui, Xiuli and Tan, Hui and Yu, Haojun and Xiao, Jie and Qi, Chi and Cao, Yanyan and Chen, Shuguang and Zhang, Yiqiu and Hu, Pengcheng and Shi, Hongcheng},
journal={EJNMMI Physics},
volume={9},
number={1},
pages={1--14},
year={2022},
doi={10.1186/s40658-022-00445-3},
pmid={35239037},
institution={Zhongshan Hospital},
keywords={BMI; reconstruction},
category={#Clinical}
}
@article{katal2022advantages,
title={Advantages and applications of total-body PET scanning},
author={Katal, Sanaz and Eibschutz, Liesl S and Saboury, Babak and Gholamrezanezhad, Ali and Alavi, Abass},
journal={Diagnostics},
volume={12},
number={2},
pages={426},
year={2022},
doi={10.3390/diagnostics12020426},
pmid={35204517},
institution={Independent Researcher},
keywords={reviews},
category={#Clinical}
}
@article{lu2022recognizing,
title={Recognizing tumor origin for lymphoid tumor of unknown primary via total-body PET/CT scan --- Case Report.},
author={Lu, Weizhao and Qiu, Jianfeng and Xie, Xue and Li, Kun and Duan, Yanhua and Li, Min and Ma, Chao and Cheng, Zhaoping and Liu, Sijin},
journal={Frontiers in Oncology},
volume={12},
pages={766490},
year={2022},
doi={10.3389/fonc.2022.766490},
pmid={35186725},
institution={Qianfoshan Hospital},
keywords={case; lymphoid tumor},
category={#Clinical}
}
@article{wen2021psmatime,
title={Determination of optimal 68Ga-PSMA PET/CT imaging time in prostate cancers by total-body dynamic PET/CT},
author={Wen, Jun and Zhu, Yinjie and Li, Lianghua and Liu, Jianjun and Chen, Yumei and Chen, Ruohua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={6},
pages={2086--2095},
year={2022},
doi={10.1007/s00259-021-05659-8},
pmid={34962583},
institution={Renji Hospital},
keywords={PSMA; prostate cancer; dynamic acquisition},
category={#Clinical}
}
@article{li2021delaycorr,
title={Efficient delay correction for total-body PET kinetic modeling using pulse timing methods},
author={Li, Elizabeth J and Spencer, Benjamin A and Schmall, Jeffrey P and Abdelhafez, Yasser G and Badawi, Ramsey D and Wang, Guobao and Cherry, Simon R},
journal={J. Nucl. Med.},
volume={63},
number={6},
pages={1266--1273},
year={2022},
doi={10.2967/jnumed.121.262968},
pmid={34933888},
institution={UC Davis},
keywords={kinetics; correction},
category={#Algorithm; #Physiological}
}
@article{hu202118FAPI-42,
title={[18F]FAPI-42 PET imaging in cancer patients: optimal acquisition time, biodistribution, and comparison with [68Ga]Ga-FAPI-04},
author={Hu, Kongzhen and Wang, Lijuan and Wu, Hubing and Huang, Shun and Tian, Ying and Wang, Qiaoyu and Xiao, Caixia and Han, Yanjiang and Tang, Ganghua},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={8},
pages={2833--2843},
year={2022},
doi={10.1007/s00259-021-05646-z},
pmid={34893920},
institution={Nanfang Hospital},
keywords={FAPI; dynamic acquisition},
category={#Clinical}
}
@article{yu2022reduction,
title={Reduction of radiation accumulation in salivary glands through oral vitamin C during 68Ga-PSMA-11 total-body dynamic PET/CT imaging},
author={Yu, Haojun and Lv, Jing and Hu, Pengcheng and Chen, Shuguang and Shi, Hongcheng},
journal={Nuclear Medicine Communications},
volume={43},
number={2},
pages={166--171},
year={2022},
doi={10.1097/MNM.0000000000001506},
pmid={34864811},
institution={Zhongshan Hospital},
keywords={PSMA; prostate cancer},
category={#Clinical}
}
@article{costa2021radioembolization,
title={Radioembolization dosimetry with total-body 90Y PET},
author={Costa, Gustavo Coelho Alves and Spencer, Benjamin A and Omidvari, Negar and Foster, Cameron and Rusnak, Michael and Hunt, Heather and Caudle, Denise T and Pillai, Rex and Vu, Catherine and Roncali, Emilie},
journal={J. Nucl. Med.},
volume={63},
number={7},
pages={1101--1107},
year={2022},
doi={10.2967/jnumed.121.263145},
pmid={34795015},
institution={UC Davis},
keywords={dosimetry; 90Y-microsphere},
category={#Clinical}
}
@article{wang2021multiparametric,
title={Total-body PET multiparametric imaging of cancer using a voxel-wise strategy of compartmental modeling},
author={Wang, Guobao and Nardo, Lorenzo and Parikh, Mamta and Abdelhafez, Yasser G and Li, Elizabeth J and Spencer, Benjamin A and Qi, Jinyi and Jones, Terry and Cherry, Simon R and Badawi, Ramsey D},
journal={J. Nucl. Med.},
volume={63},
number={8},
pages={1274--1281},
year={2022},
doi={10.2967/jnumed.121.262668},
pmid={34795014},
institution={UC Davis},
keywords={kinetics},
category={#Physiological}
}
@article{nadig2021hybrid,
title={Hybrid total-body PET scanners---current status and future perspectives},
author={Nadig, Vanessa and Herrmann, Ken and Mottaghy, Felix M and Schulz, Volkmar},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={2},
pages={445--459},
year={2021},
doi={10.1007/s00259-021-05536-4},
pmid={34647154},
institution={RWTH Aachen University},
keywords={reviews; PennPET},
category={#Other}
}
@article{hu2021feasibility,
title={Feasibility of acquisitions using total-body PET/CT with an ultra-low 18F-FDG activity},
author={Hu, Yan and Liu, Guobing and Yu, Haojun and Wang, Ying and Li, Chenwei and Tan, Hui and Gu, Jianying and Shi, Hongcheng},
journal={J. Nucl. Med.},
volume={63},
number={6},
pages={959--965},
year={2022},
doi={10.2967/jnumed.121.262038},
pmid={34593593},
institution={Zhongshan Hospital},
keywords={low dose},
category={#Clinical}
}
@article{leung2021quantitative,
title={Quantitative accuracy in total-body imaging using the uEXPLORER PET/CT scanner},
author={Leung, Edwin K and Berg, Eric and Omidvari, Negar and Spencer, Benjamin A and Li, Elizabeth J and Abdelhafez, Yasser G and Schmall, Jeffrey P and Liu, Weiping and He, Liuchun and Tang, Songsong and Liu, Yilin and Dong, Yun and Jones, Terry and Cherry, Simon R and Badawi, Ramsey D},
journal={Physics in Medicine \& Biology},
volume={66},
number={20},
pages={205008},
year={2021},
doi={10.1088/1361-6560/ac287c},
pmid={34544074},
institution={UC Davis},
keywords={performance evaluation; phantom},
category={#Hardware}
}
@article{tan2022ultralowcrc,
title={Investigating ultra-low-dose total-body [18F]-FDG PET/CT in colorectal cancer: initial experience},
author={Tan, Hui and Cai, Danjie and Sui, Xiuli and Qi, Chi and Mao, Wujian and Zhang, Yiqiu and Liu, Guobing and Yu, Haojun and Chen, Shuguang and Hu, Pengcheng and Gu, Jianying and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={3},
pages={1002--1011},
year={2022},
doi={10.1007/s00259-021-05537-3},
pmid={34462790},
institution={Zhongshan Hospital},
keywords={low dose; colorectal cancer},
category={#Clinical}
}
@article{liu2021short,
title={Short-time total-body dynamic PET imaging performance in quantifying the kinetic metrics of 18F-FDG in healthy volunteers},
author={Liu, Guobing and Yu, Haojun and Shi, Dai and Hu, Pengcheng and Hu, Yan and Tan, Hui and Zhang, Yiqiu and Yin, Hongyan and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={8},
pages={2493--2503},
year={2022},
doi={10.1007/s00259-021-05500-2},
pmid={34417855},
institution={Zhongshan Hospital},
keywords={kinetics},
category={#Physiological}
}
@article{wu2022whole,
title={Whole-Body Parametric Imaging of 18F-FDG PET Using uEXPLORER with Reduced Scanning Time},
author={Wu, Yaping and Feng, Tao and Zhao, Yizhang and Xu, Tianyi and Fu, Fangfang and Huang, Zhun and Meng, Nan and Li, Hongdi and Shao, Fengmin and Wang, Meiyun},
journal={J. Nucl. Med.},
volume={63},
number={4},
pages={622--628},
year={2022},
doi={10.2967/jnumed.120.261651},
pmid={34385335},
institution={Henan People's Hospital},
keywords={kinetics},
category={#Physiological}
}
@article{wang2021nodules,
title={Nodules on the lower legs with ankle joint pain},
author={Wang, Ximing and Cheng, Zhaoping},
journal={Gastroenterology},
volume={161},
number={5},
pages={1390--1392},
year={2021},
doi={10.1053/j.gastro.2021.07.045},
pmid={34364852},
institution={Qianfoshan Hospital},
keywords={case; pancreatic cancer},
category={#Clinical}
}
@article{wang2021deeplearning,
title={Total-body PET kinetic modeling and potential opportunities using deep learning},
author={Wang, Yiran and Li, Elizabeth J and Cherry, Simon R and Wang, Guobao},
journal={PET Clinics},
volume={16},
number={4},
pages={613--625},
year={2021},
doi={10.1016/j.cpet.2021.06.009},
pmid={34353745},
institution={UC Davis},
keywords={kinetics; deep learning},
category={#Algorithm}
}
@article{hu2021internal,
title={Internal dosimetry in F-18 FDG PET examinations based on long-time-measured organ activities using total-body PET/CT: does it make any difference from a short-time measurement?},
author={Hu, Pengcheng and Lin, Xin and Zhuo, Weihai and Tan, Hui and Xie, Tianwu and Liu, Guobing and Chen, Shuguang and Chen, Xin and Yu, Haojun and Zhang, Yiqiu and Shi, Hongcheng and Liu, Haikuan},
journal={EJNMMI Physics},
volume={8},
number={1},
pages={1--17},
year={2021},
doi={10.1186/s40658-021-00395-2},
pmid={34264416},
institution={Zhongshan Hospital; Fudan University},
keywords={dosimetry},
category={#Clinical}
}
@article{xiao2021can,
title={Can the BMI-based dose regimen be used to reduce injection activity and to obtain a constant image quality in oncological patients by 18F-FDG total-body PET/CT imaging?},
author={Xiao, Jie and Yu, Haojun and Sui, Xiuli and Hu, Yan and Cao, Yanyan and Liu, Guobing and Zhang, Yiqiu and Hu, Pengcheng and Wang, Ying and Li, Chenwei and Xu, Baixuan and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={49},
number={1},
pages={269--278},
year={2021},
doi={10.1007/s00259-021-05462-5},
pmid={34185138},
institution={Zhongshan Hospital; PLA General Hospital},
keywords={BMI},
category={#Clinical}
}
@article{li2021pain,
title={Ultra-short time imaging of total-body PET/CT for cancer pain-induced untenable body position},
author={Li, Yongjiang and Zhang, Wenbiao and Zhang, Hu and Zhou, Chao and Xiong, Liangshun and Zhang, Xu and Fan, Wei},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={48},
number={11},
pages={3738--3740},
year={2021},
doi={10.1007/s00259-021-05380-6},
pmid={33963921},
institution={Sun Yat-Sen Cancer},
keywords={case; fast},
category={#Clinical}
}
@article{lv2021dlrecon,
title={PET image reconstruction with deep progressive learning},
author={Lv, Yang and Chen, Xi},
journal={Physics in Medicine \& Biology},
volume={66},
number={10},
pages={105016},
year={2021},
doi={10.1088/1361-6560/abfb17},
pmid={33892485},
institution={United Imaging},
keywords={reconstruction; deep learning},
category={#Algorithm}
}
@article{hu2021fast,
title={Total-body 18F-FDG PET/CT scan in oncology patients: how fast could it be?},
author={Hu, Pengcheng and Zhang, Yiqiu and Yu, Haojun and Chen, Shuguang and Tan, Hui and Qi, Chi and Dong, Yun and Wang, Ying and Deng, Zilin and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={48},
number={8},
pages={2384--2394},
year={2021},
doi={10.1007/s00259-021-05357-5},
pmid={33866409},
institution={Zhongshan Hospital},
keywords={fast; EARL},
category={#Clinical}
}
@article{zhao2021pediatric,
title={Image quality and lesion detectability in low-dose pediatric 18F-FDG scans using total-body PET/CT},
author={Zhao, Yumo and Li, Yinghe and Chen, Tao and Zhang, Weiguang and Wang, Linhao and Feng, Jiatai and Li, Chenwei and Zhang, Xu and Fan, Wei and Hu, Yingying},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={48},
number={11},
pages={3378--3385},
year={2021},
doi={10.1007/s00259-021-05304-4},
pmid={33738519},
institution={Sun Yat-Sen Cancer},
keywords={pediatrics; low dose},
category={#Clinical}
}
@article{lan2021dynamic,
title={Dynamic PET imaging with ultra-low-activity of 18F-FDG: unleashing the potential of total-body PET},
author={Lan, Xiaoli and Fan, Kevin and Li, Ke and Cai, Weibo},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={48},
number={13},
pages={4138--4141},
year={2021},
doi={10.1007/s00259-021-05214-5},
pmid={33515054},
institution={Union Hospital, Wuhan; UW Madison},
keywords={editorial; low dose; dynamic acquisition},
category={#Physiological}
}
@article{liu2021ultra,
title={Ultra-low-activity total-body dynamic PET imaging allows equal performance to full-activity PET imaging for investigating kinetic metrics of 18F-FDG in healthy volunteers},
author={Liu, Guobing and Hu, Pengcheng and Yu, Haojun and Tan, Hui and Zhang, Yiqiu and Yin, Hongyan and Hu, Yan and Gu, Jianying and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={48},
number={8},
pages={2373--2383},
year={2021},
doi={10.1007/s00259-020-05173-3},
pmid={33479842},
institution={Zhongshan Hospital},
keywords={kinetics; low dose},
category={#Physiological}
}
@article{liu2021kinetic,
title={Kinetic metrics of 18F-FDG in normal human organs identified by systematic dynamic total-body positron emission tomography},
author={Liu, Guobing and Xu, Hongrong and Hu, Pengcheng and Tan, Hui and Zhang, Yiqiu and Yu, Haojun and Li, Xuening and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={48},
number={8},
pages={2363--2372},
year={2021},
doi={10.1007/s00259-020-05124-y},
pmid={33416959},
institution={Zhongshan Hospital},
keywords={kinetics},
category={#Physiological}
}
@article{tan2021lung,
title={Total-body PET/CT using half-dose FDG and compared with conventional PET/CT using full-dose FDG in lung cancer},
author={Tan, Hui and Sui, Xiuli and Yin, Hongyan and Yu, Haojun and Gu, Yusen and Chen, Shuguang and Hu, Pengcheng and Mao, Wujian and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={48},
number={6},
pages={1966--1975},
year={2021},
doi={10.1007/s00259-020-05091-4},
pmid={33244618},
institution={Zhongshan Hospital},
keywords={low dose; lung cancer},
category={#Clinical}
}
@article{duan2021pet,
title={PET/CT in a patient with cardiac paraganglioma},
author={Duan, Yanhua and Xu, Rui and Liu, Wen and Cui, Xiao and Li, Kun and Yang, Xiaoqing and Shi, Qinghong and Cheng, Zhaoping and Chen, Li},
journal={The International Journal of Cardiovascular Imaging},
volume={37},
pages={1473--1477},
year={2021},
doi={10.1007/s10554-020-02101-2},
pmid={33216251},
institution={Qianfoshan Hospital},
keywords={case; paraganglioma; neuroendocrine; cardiovascular},
category={#Clinical}
}
@article{spencer2021performance,
title={Performance evaluation of the uEXPLORER total-body PET/CT scanner based on NEMA NU 2-2018 with additional tests to characterize PET scanners with a long axial field of view},
author={Spencer, Benjamin A and Berg, Eric and Schmall, Jeffrey P and Omidvari, Negar and Leung, Edwin K and Abdelhafez, Yasser G and Tang, Songsong and Deng, Zilin and Dong, Yun and Lv, Yang and Bao, Jun and Liu, Weiping and Li, Hongdi and Jones, Terry and Badawi, Ramsey D and Cherry, Simon R},
journal={J. Nucl. Med.},
volume={62},
number={6},
pages={861--870},
year={2021},
doi={10.2967/jnumed.120.250597},
pmid={33008932},
institution={UC Davis},
keywords={performance evaluation},
category={#Hardware}
}
@article{feng2021parametric,
title={Total-body quantitative parametric imaging of early kinetics of 18F-FDG},
author={Feng, Tao and Zhao, Yizhang and Shi, Hongcheng and Li, Hongdi and Zhang, Xuezhu and Wang, Guobao and Price, Patricia M and Badawi, Ramsey D and Cherry, Simon R and Jones, Terry},
journal={J. Nucl. Med.},
volume={62},
number={5},
pages={738--744},
year={2021},
doi={10.2967/jnumed.119.238113},
pmid={32948679},
institution={United Imaging; Zhongshan Hospital},
keywords={kinetics},
category={#Physiological}
}
@article{fu2021LN,
title={Total-body dynamic PET/CT of micro-metastatic lymph node in a patient with lung cancer},
author={Fu, Fangfang and Li, Xiaochen and Wu, Yaping and Xu, Junling and Bai, Yan and Gao, Yongju and Wang, Zhenzhen and Zhang, Weifeng and Wei, Wei and El Fakhri, Georges and Shao, Fengmin and Wang, Meiyun},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={48},
number={5},
pages={1678--1679},
year={2021},
doi={10.1007/s00259-020-05121-1},
pmid={33392715},
institution={Henan People's Hospital},
keywords={case; lung cancer},
category={#Clinical}
}
@article{badawi2021horizons,
title={Total body PET: Exploring new horizons},
author={Badawi, Ramsey D and Karp, Joel S and Nardo, Lorenzo and Pantel, Austin R},
journal={PET Clinics},
volume={16},
number={1},
pages={xvii--xviii},
year={2021},
doi={10.1016/j.cpet.2020.09.005},
pmid={33218609},
institution={UC Davis; UPenn},
keywords={editorial},
category={#Other}
}
@article{chaudhari2021msd,
title={Total-body PET imaging of musculoskeletal disorders},
author={Chaudhari, Abhijit J and Raynor, William Y and Gholamrezanezhad, Ali and Werner, Thomas J and Rajapakse, Chamith S and Alavi, Abass},
journal={PET Clinics},
volume={16},
number={1},
pages={99--117},
year={2021},
doi={10.1016/j.cpet.2020.09.012},
pmid={33218607},
institution={UC Davis; UPenn},
keywords={reviews; PennPET; musculoskeletal},
category={#Clinical}
}
@article{sui2021zhongshan,
title={Total-body PET/computed tomography highlights in clinical practice: experiences from Zhongshan Hospital, Fudan University},
author={Sui, Xiuli and Liu, Guobing and Hu, Pengcheng and Chen, Shuguang and Yu, Haojun and Wang, Ying and Shi, Hongcheng},
journal={PET Clinics},
volume={16},
number={1},
pages={9--14},
year={2021},
doi={10.1016/j.cpet.2020.09.007},
pmid={33218606},
institution={Zhongshan Hospital},
keywords={reviews; operation experience},
category={#Clinical}
}
@article{viswanath2021analysis,
title={Analysis of four-dimensional data for total body PET imaging},
author={Viswanath, Varsha and Chitalia, Rhea and Pantel, Austin R and Karp, Joel S and Mankoff, David A},
journal={PET Clinics},
volume={16},
number={1},
pages={55--64},
year={2021},
doi={10.1016/j.cpet.2020.09.009},
pmid={33218604},
institution={UPenn},
keywords={reviews; PennPET; dynamic acquisition},
category={#Algorithm}
}
@article{qi20213d,
title={3D/4D reconstruction and quantitative total body imaging},
author={Qi, Jinyi and Matej, Samuel and Wang, Guobao and Zhang, Xuezhu},
journal={PET Clinics},
volume={16},
number={1},
pages={41--54},
year={2021},
doi={10.1016/j.cpet.2020.09.008},
pmid={33218603},
institution={UC Davis},
keywords={reviews; reconstruction},
category={#Algorithm}
}
@article{nardo2021clinical,
title={Clinical implementation of total-body PET/CT at University of California, Davis},
author={Nardo, Lorenzo and Abdelhafez, Yasser G and Spencer, Benjamin A and Badawi, Ramsey D},
journal={PET Clinics},
volume={16},
number={1},
pages={1--7},
year={2021},
doi={10.1016/j.cpet.2020.09.006},
pmid={33218600},
institution={UC Davis},
keywords={reviews; 18F-fluciclovine; DOTATATE; operation experience},
category={#Clinical}
}
@article{daube2021scanner,
title={Scanner design considerations for long axial field-of-view {PET} systems},
author={Daube-Witherspoon, Margaret E and Cherry, Simon R},
journal={PET Clinics},
volume={16},
number={1},
pages={25--39},
year={2021},
doi={10.1016/j.cpet.2020.09.003},
pmid={33160929},
institution={UPenn; UC Davis},
keywords={reviews; PennPET},
category={#Hardware}
}
@article{zhang2020image,
title={The image quality, lesion detectability, and acquisition time of 18F-FDG total-body PET/CT in oncological patients},
author={Zhang, Yiqiu and Hu, Pengcheng and Wu, Runze and Gu, Yushen and Chen, Shuguang and Yu, Haojun and Wang, Xiangqing and Song, Jun and Shi, Hongcheng},
journal={European Journal of Nuclear Medicine and Molecular Imaging},
volume={47},
number={11},
pages={2507--2515},
year={2020},
doi={10.1007/s00259-020-04823-w},
pmid={32424483},
institution={Zhongshan Hospital},
keywords={operation experience},
category={#Clinical}
}
@article{Tian2020AJRReview,
title={Total-body PET/CT: Current applications and future perspectives},
author={Tan, Hui and Gu, Yusen and Yu, Haojun and Hu, Pengcheng and Zhang, Yiqiu and Mao, Wujian and Shi, Hongcheng},
journal={American Journal of Roentgenology},
volume={215},
number={2},
pages={325--337},
year={2020},
doi={10.2214/AJR.19.22705},
pmid={32551910},
institution={Zhongshan Hospital},
keywords={reviews},
category={#Clinical}
}
@article{nardo2020potential,
title={Potential roles of total-body PET/computed tomography in pediatric imaging},
author={Nardo, Lorenzo and Schmall, Jeffrey P and Werner, Thomas J and Malogolowkin, Marcio and Badawi, Ramsey D and Alavi, Abass},
journal={PET Clinics},
volume={15},
number={3},
pages={271--279},
year={2020},
doi={10.1016/j.cpet.2020.03.009},
pmid={32498982},
institution={UC Davis; UPenn},
keywords={reviews; pediatrics},
category={#Clinical}
}
@article{vandenberghe2020state,
title={State of the art in total body PET},
author={Vandenberghe, Stefaan and Moskal, Pawel and Karp, Joel S},
journal={EJNMMI Physics},
volume={7},
number={1},
pages={1--33},
year={2020},
doi={10.1186/s40658-020-00290-2},
pmid={32451783},
institution={Ghent University; Jagiellonian University; UPenn},
keywords={reviews; PennPET},
category={#Hardware}
}
@article{Suleman2020TRMPS,
title={Total body PET: Why, how, what for?},
author={Surti, Suleman and Pantel, Austin R and Karp, Joel S},
journal={IEEE Transactions on Radiation and Plasma Medical Sciences},
volume={4},
number={3},
pages={283--292},
year={2020},
doi={10.1109/TRPMS.2020.2985403},
pmid={33134653},
institution={UPenn},
keywords={reviews; PennPET},
category={#Hardware}
}
@article{zhang2020subsecond,
title={Subsecond total-body imaging using ultrasensitive positron emission tomography},
author={Zhang, Xuezhu and Cherry, Simon R and Xie, Zhaoheng and Shi, Hongcheng and Badawi, Ramsey D and Qi, Jinyi},
journal={Proceedings of the National Academy of Sciences},
volume={117},
number={5},
pages={2265--2267},
year={2020},
doi={10.1073/pnas.1917379117},
pmid={31964808},
institution={UC Davis},
keywords={dynamic acquisition; communications},
category={#Algorithm; #Physiological}
}
@article{Rosenkrans2020antibodies,
title={Total-body PET imaging for up to 30 days after injection of 89Zr-labeled antibodies},
author={Rosenkrans, Zachary T and Cai, Weibo},
journal={J. Nucl. Med.},
volume={61},
number={3},
pages={451--452},
year={2020},
doi={10.2967/jnumed.119.236166},
pmid={31806778},
institution={UW Madison},
keywords={editorial; prolonged},
category={#Physiological}
}
@article{berg2020total,
title={Total-body PET and highly stable chelators together enable meaningful 89Zr-antibody PET studies up to 30 days after injection},
author={Berg, Eric and Gill, Herman and Marik, Jan and Ogasawara, Annie and Williams, Simon and van Dongen, Guus and Vugts, Dani{\"e}lle and Cherry, Simon R and Tarantal, Alice F},
journal={J. Nucl. Med.},
volume={61},
number={3},
pages={453--460},
year={2020},
doi={10.2967/jnumed.119.230961},
pmid={31562219},
institution={UC Davis},
keywords={89Zr-antibody; prolonged},
category={#Physiological}
}
@article{zhang2020total,
title={Total-body dynamic reconstruction and parametric imaging on the uEXPLORER},
author={Zhang, Xuezhu and Xie, Zhaoheng and Berg, Eric and Judenhofer, Martin S and Liu, Weiping and Xu, Tianyi and Ding, Yu and Lv, Yang and Dong, Yun and Deng, Zilin and Tang, Songsong and Shi, Hongcheng and Hu, Pengcheng and Chen, Shuguang and Bao, Jun and Li, Hongdi and Zhou, Jian and Wang, Guobao and Cherry, Simon R and Badawi, Ramsey D and Qi, Jinyi},
journal={J. Nucl. Med.},
volume={61},
number={2},
pages={285--291},
year={2020},
doi={10.2967/jnumed.119.230565},
pmid={31302637},
institution={UC Davis; Zhongshan Hospital},
keywords={kinetics; reconstruction},
category={#Algorithm; #Physiological}
}
@article{Lv2019miniExplorer,
title={Mini {EXPLORER} {II}: a prototype high-sensitivity {PET}/{CT} scanner for companion animal whole body and human brain scanning},
author={Lv, Yang and Lv, Xinyu and Liu, Weiping and Judenhofer, Martin S and Zwingenberger, Allison and Wisner, Erik and Berg, Eric and McKenney, Sarah and Leung, Edwin K and Spencer, Benjamin A and Cherry, Simon R and Badawi, Ramsey D},
journal={Physics in Medicine \& Biology},
volume={64},
number={7},
pages={075004},
year={2019},
doi={10.1088/1361-6560/aafc6c},
pmid={30620929},
institution={United Imaging; UC Davis},
keywords={miniExplorer; performance evaluation},
category={#Hardware}
}
@article{badawi2019first,
title={First human imaging studies with the EXPLORER total-body PET scanner},
author={Badawi, Ramsey D and Shi, Hongcheng and Hu, Pengcheng and Chen, Shuguang and Xu, Tianyi and Price, Patricia M and Ding, Yu and Spencer, Benjamin A and Nardo, Lorenzo and Liu, Weiping and Bao, Jun and Jones, Terry and Li, Hongdi and Cherry, Simon R},
journal={J. Nucl. Med.},
volume={60},
number={3},
pages={299--303},
year={2019},
doi={10.2967/jnumed.119.226498},
pmid={30733314},
institution={UC Davis},
keywords={delayed imaging},
category={#Clinical}
}
@article{Leung2018coincidence,
title={Performance assessment of a software-based coincidence processor for the {EXPLORER} total-body {PET} scanner},
author={Leung, Edwin K and Judenhofer, Martin S and Cherry, Simon R and Badawi, Ramsey D},
journal={Physics in Medicine \& Biology},
volume={63},
number={18},
pages={18NT01},
year={2018},
doi={10.1088/1361-6560/aadd3c},
pmid={30152793},
institution={UC Davis},
keywords={correction},
category={#Algorithm}
}
@article{berg2018development,
title={Development and evaluation of mini-EXPLORER: a long axial field-of-view PET scanner for nonhuman primate imaging},
author={Berg, Eric and Zhang, Xuezhu and Bec, Julien and Judenhofer, Martin S and Patel, Brijesh and Peng, Qiyu and Kapusta, Maciej and Schmand, Matthias and Casey, Michael E and Tarantal, Alice F and Qi, Jinyi and Badawi, Ramsey D and Cherry, Simon R},
journal={J. Nucl. Med.},
volume={59},
number={6},
pages={993--998},
year={2018},
doi={10.2967/jnumed.117.200519},
pmid={29419483},
institution={UC Davis},
keywords={miniExplorer},
category={#Hardware}
}
@article{reardon2019whole,
title={Whole-body PET scanner produces 3D images in seconds},
author={Reardon, Sara},
journal={Nature},
volume={570},
number={7761},
pages={285--287},
year={2019},
doi={10.1038/d41586-019-01833-z},
pmid={31213682},
keywords={news},
category={#Other}
}
@article{cherry2018total,
title={Total-body PET: maximizing sensitivity to create new opportunities for clinical research and patient care},
author={Cherry, Simon R and Jones, Terry and Karp, Joel S and Qi, Jinyi and Moses, William W and Badawi, Ramsey D},
journal={J. Nucl. Med.},
volume={59},
number={1},
pages={3--12},
year={2018},
doi={10.2967/jnumed.116.184028},
pmid={28935835},
institution={UC Davis},
keywords={reviews},
category={#Hardware}
}
@article{cherry2017transforming,
title={Total-body imaging: transforming the role of positron emission tomography},
author={Cherry, Simon R and Badawi, Ramsey D and Karp, Joel S and Moses, William W and Price, Patricia M and Jones, Terry},
journal={Science Translational Medicine},
volume={9},
number={381},
pages={eaaf6169},
year={2017},
doi={10.1126/scitranslmed.aaf6169},
pmid={28298419},
institution={UC Davis},
keywords={reviews},
category={#Other}
}
@article{zhang2017quantitative,
title={Quantitative image reconstruction for total-body PET imaging using the 2-meter long EXPLORER scanner},
author={Zhang, Xuezhu and Zhou, Jian and Cherry, Simon R and Badawi, Ramsey D and Qi, Jinyi},
journal={Physics in Medicine \& Biology},
volume={62},
number={6},
pages={2465},
year={2017},
doi={10.1088/1361-6560/aa5e46},
pmid={28240215},
institution={UC Davis},
keywords={reconstruction},
category={#Algorithm}
}
@article{cherry20062006,
title={The 2006 Henry N. Wagner Lecture: of mice and men (and positrons) --- advances in PET imaging technology},
author={Cherry, Simon R},
journal={J. Nucl. Med.},
volume={47},
number={11},
pages={1735--1745},
year={2006},
pmid={17079804},
institution={UC Davis},
keywords={reviews},
category={#Other}
}
@article{Science2017News,
title={World's first full-body PET scanner could aid drug development, monitor environmental toxins: EXPLORER promises to improve images from inside our bodies},
author={Wessel, Lindzi},
journal={Science Mag.},
year={2017},
doi={10.1126/science.aal0929},
keywords={news},
category={#Other}
}
@article{Jiang2021NEMA,
title={基于NEMA NU 2-2007标准测试国产uEXPLORER PET系统性能},
author={蒋梨 and 黄衍超 and 李洪生 and 韩彦江 and 王巧愚 and 王静怡 and 王全师},
journal={中国医学影像技术},
volume={37},
number={11},
pages={1725--1730},
year={2021},
doi={10.13929/j.issn.1003-3289.2021.11.031},
institution={Nanfang Hospital},
keywords={performance evaluation},
category={#Hardware}
}