Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

Journal: European radiology
PMID:

Abstract

OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.

Authors

  • Yansheng Kan
    Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Institute of Urology, Nanjing University, No. 321 Zhongshan Rd, Nanjing, 210008, Jiangsu Province, China.
  • Qing Zhang
    Department of Respiratory Medicine, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
  • Jiange Hao
    Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Institute of Urology, Nanjing University, No. 321 Zhongshan Rd, Nanjing, 210008, Jiangsu Province, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Junlong Zhuang
    Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Institute of Urology, Nanjing University, No. 321 Zhongshan Rd, Nanjing, 210008, Jiangsu Province, China.
  • Jie Gao
    Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Haifeng Huang
    Department of Physical Education, South China Agricultural University, Guangzhou, China.
  • Jing Liang
    College of Management Science, Chengdu University of Technology, Chengdu, China.
  • Giancarlo Marra
    Department of Urology, San Giovanni Battista Hospital, Città della Salute e della Scienza, University of Turin, Turin, Italy.
  • Giorgio Calleris
    Department of Urology, Molinette Hospital, Città della Salute e della Scienza, University of Turin, Turin, Italy.
  • Marco Oderda
    Department of Urology, Molinette Hospital, Città della Salute e della Scienza, University of Turin, Turin, Italy.
  • Xiaozhi Zhao
    Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Institute of Urology, Nanjing University, No. 321 Zhongshan Rd, Nanjing, 210008, Jiangsu Province, China. zhaoxz@nju.edu.cn.
  • Paolo Gontero
    Department of Urology, Molinette Hospital, University of Torino School of Medicine, Turin, Italy.
  • Hongqian Guo
    Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Institute of Urology, Nanjing University, No. 321 Zhongshan Rd, Nanjing, 210008, Jiangsu Province, China. dr.ghq@nju.edu.cn.