Deep learning-based spatial analysis on tumor and immune cells of pathology images predicts MIBC prognosis.

Journal: PloS one
Published Date: Aug 20, 2025

Abstract

OBJECTIVE: Muscle-invasive bladder cancer (MIBC) is a highly aggressive disease with a poor prognosis. This study aims to explore the correlation between the spatial distribution of lymphocyte aggregates and the prognosis of MIBC using deep learning.

Authors

  • Chao Hu
    CAS Key Laboratory of Magnetic Materials and Devices , Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences , Ningbo , Zhejiang 315201 , China.
  • Fan Wang
    Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.
  • Hui Xu
    No 202 Hospital of People's Liberation Army, Liaoning 110003, China.
  • XiQi Dong
    Department of Urology, The Second Affiliated Hospital of Nanchang University/Nanchang University, Nanchang, PR China.
  • XiuJuan Xiong
    School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang, PR China.
  • Yun Zhang
    Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
  • Tiancheng Zhao
    School of Software, Shandong University, Jinan, China.
  • YuanQiao He
    Department of Jiangxi Province Key Laboratory of Laboratory Animal, Laboratory Animal Science Center of Nanchang University, Nanchang, PR China.
  • Libin Deng
    Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, P.R. China.
  • XiongBing Lu
    Department of Urology, The Second Affiliated Hospital of Nanchang University/Nanchang University, Nanchang, PR China.

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