DWI-based Biologically Interpretable Radiomic Nomogram for Predicting 1- year Biochemical Recurrence after Radical Prostatectomy: A Deep Learning, Multicenter Study.

Journal: Current medical imaging
Published Date: Jun 10, 2025

Abstract

INTRODUCTION: It is not rare to experience a biochemical recurrence (BCR) following radical prostatectomy (RP) for prostate cancer (PCa). It has been reported that early detection and management of BCR following surgery could improve survival in PCa. This study aimed to develop a nomogram integrating deep learning-based radiomic features and clinical parameters to predict 1-year BCR after RP and to examine the associations between radiomic scores and the tumor microenvironment (TME).

Authors

  • Xiangke Niu
    Department of Interventional Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China.
  • Yongjie Li
    MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Guohui Xu
    Department of Liver Neoplasms, Jiangxi Cancer Hospital, Nanchang, 330029, China. Electronic address: 649709603@qq.com.

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