High-throughput precision MRI assessment with integrated stack-ensemble deep learning can enhance the preoperative prediction of prostate cancer Gleason grade.

Journal: British journal of cancer
Published Date: Jan 17, 2023

Abstract

BACKGROUND: To develop and test a Prostate Imaging Stratification Risk (PRISK) tool for precisely assessing the International Society of Urological Pathology Gleason grade (ISUP-GG) of prostate cancer (PCa).

Authors

  • Jie Bao
    Pacific Northwest National Laboratory, Richland, WA, United States.
  • Ying Hou
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu Province, China.
  • Lang Qin
    Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, 300N, Guangzhou Road, 210029, Nanjing, Jiangsu, China.
  • Rui Zhi
    Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, 300N, Guangzhou Road, 210029, Nanjing, Jiangsu, China.
  • Xi-Ming Wang
    Department of Radiology, The First Affiliated Hospital of Soochow University, 188N, Shizi Road, 215006, Suzhou, Jiangsu, China.
  • Hai-Bin Shi
    Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
  • Hong-Zan Sun
    Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China. sunhongzan@126.com.
  • Chun-Hong Hu
    Department of Radiology, The First Affiliated Hospital of Soochow University, 188N, Shizi Road, 215006, Suzhou, Jiangsu, China. hch5305@163.com.
  • Yu-Dong Zhang
    University of Leicester, Leicester, United Kingdom.

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