Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Nov 21, 2022

Abstract

PURPOSE: This study aimed to develop deep learning (DL) models based on multicentre biparametric magnetic resonance imaging (bpMRI) for the diagnosis of clinically significant prostate cancer (csPCa) and compare the performance of these models with that of the Prostate Imaging and Reporting and Data System (PI-RADS) assessment by expert radiologists based on multiparametric MRI (mpMRI).

Authors

  • Litao Zhao
    School of Engineering Medicine, Beihang University, Beijing, 100191, China.
  • Jie Bao
    Pacific Northwest National Laboratory, Richland, WA, United States.
  • Xiaomeng Qiao
    Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Pengfei Jin
    College of Environment and Plant Protection, Hainan University, Haikou 570228, China.
  • Yanting Ji
    Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
  • Zhenkai Li
    Department of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, 215028, Jiangsu, China.
  • Ji Zhang
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.
  • Yueting Su
    Department of Radiology, The People's Hospital of Taizhou, Taizhou, 225399, Jiangsu, China.
  • Libiao Ji
    Department of Radiology, Changshu No.1 People's Hospital, Changshu, 215501, Jiangsu, China.
  • Junkang Shen
    Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu, China.
  • Yueyue Zhang
    Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu, China.
  • Lei Niu
    Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
  • Wanfang Xie
    School of Engineering Medicine, Beihang University, Beijing, 100191, China.
  • Chunhong Hu
    Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Hailin Shen
    Department of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, 215028, Jiangsu, China. hailinshen@163.com.
  • Ximing Wang
  • Jiangang Liu
    School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

Keywords

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