Deep learning model for predicting extraprostatic extension of prostate cancer based on H&E-stained biopsy digital images.

Journal: Annals of medicine
Published Date:

Abstract

BACKGROUND: To develop and validate a deep learning pipeline using prostate biopsy H&E slides to predict extraprostatic extension (EPE) in prostate cancer (PCa) patients.

Authors

  • Peiling Yu
    Department of Pathology, the First Affiliated Hospital of China Medical University, Shenyang, China.
  • Nan Liu
    Duke-NUS Medical School Centre for Quantitative Medicine Singapore Singapore.
  • Dongli Feng
    Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
  • Yi Jing
    Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang 110169, China.
  • MoYu Xia
    Neusoft Research of Intelligent Healthcare Technology, Co. Ltd, Shenyang, China.
  • Hongyu Guo
    School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, P. R. China.
  • Yinan Yuan
    Department of Pathology, the First Affiliated Hospital of China Medical University, Shenyang, China.
  • Weilin Guo
    Department of Pathology, the First Affiliated Hospital of China Medical University, Shenyang, China.
  • Yini Alatan
    Department of Pathology, the First Affiliated Hospital of China Medical University, Shenyang, China.
  • Siru Nie
    Department of Pathology, the First Affiliated Hospital of China Medical University, Shenyang, China.
  • Jinming Zhao
    Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Nanning, Guangxi Zhuang Autonomous Region, China.
  • Hongbo Su
    Department of Pathology, the First Affiliated Hospital of China Medical University, Shenyang, China.
  • Yuan Miao
  • Qi Miao
    Chief of Cardiac Surgery, Peking Union Medical College Hospital, Beijing, China.