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PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy.

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Title: PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy.
Authors: Chen R; Department of Nuclear Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, 160 Pujian Road, Shanghai, China., Li Y; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen, Guangdong, China., Liang D; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen, Guangdong, China., Liu J; Department of Nuclear Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, 160 Pujian Road, Shanghai, China. nuclearj@163.com., Sun T; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen, Guangdong, China. colddiesun@gmail.com.
Source: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2025 Jul 22; Vol. 25 (1), pp. 93. Date of Electronic Publication: 2025 Jul 22.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy.
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  Data: <searchLink fieldCode="AU" term="%22Chen+R%22">Chen R</searchLink>; Department of Nuclear Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, 160 Pujian Road, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Liang+D%22">Liang D</searchLink>; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Liu+J%22">Liu J</searchLink>; Department of Nuclear Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, 160 Pujian Road, Shanghai, China. nuclearj@163.com.<br /><searchLink fieldCode="AU" term="%22Sun+T%22">Sun T</searchLink>; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen, Guangdong, China. colddiesun@gmail.com.
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  Data: <searchLink fieldCode="JN" term="%22101172931%22">Cancer imaging : the official publication of the International Cancer Imaging Society</searchLink> [Cancer Imaging] 2025 Jul 22; Vol. 25 (1), pp. 93. <i>Date of Electronic Publication: </i>2025 Jul 22.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101172931 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1470-7330 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214707330%22">14707330 </searchLink><i>NLM ISO Abbreviation: </i>Cancer Imaging <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s40644-025-00907-8
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              Text: 2025 Jul 22
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