Machine learning-based construction and validation of an radiomics model for predicting ISUP grading in prostate cancer: a multicenter radiomics study based on [68Ga]Ga-PSMA PET/CT.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Jun 24, 2025

Abstract

PURPOSE: The International Society of Urological Pathology (ISUP) grading of prostate cancer (PCa) is a crucial factor in the management and treatment planning for PCa patients. An accurate and non-invasive assessment of the ISUP grading group could significantly improve biopsy decisions and treatment planning. The use of PSMA-PET/CT radiomics for predicting ISUP has not been widely studied. The aim of this study is to investigate the role of Ga-PSMA PET/CT radiomics in predicting the ISUP grading of primary PCa.

Authors

  • Honghu Zhang
    Department of Urology, Disorders of Prostate Cancer Multidisciplinary Team, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha City, Hunan Province, China.
  • Xin Jiang
    Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, People's Republic of China.
  • Guangjie Yang
    Department of Nuclear Medicine, the Affiliated Hospital of Qingdao University, No. 59, Haier Road, Qingdao, 266061, Shandong, China.
  • Yongxiang Tang
    Department of Nuclear Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan, 410008, P.R. China. xyyf0401@qq.com.
  • Lin Qi
    a Sino-Dutch Biomedical and Information Engineering School , Northeastern University , Shenyang , Liaoning , China.
  • Minfeng Chen
    Department of Urology, Disorders of Prostate Cancer Multidisciplinary Team, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha City, Hunan Province, China.
  • Shuo Hu
    School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Xiaomei Gao
    Department of Pathology, Disorders of Prostate Cancer Multidisciplinary Team, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, PR China.
  • Mingxin Zhang
    Department of Urology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266000, China.
  • Shouzhen Chen
    Department of Urology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China. chenshouzhen@email.sdu.edu.cn.
  • Yi Cai
    College of Veterinary Medicine, Hebei Agricultural University, Baoding, Hebei 071000, China.

Keywords

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