Radiomic-based machine learning model for the accurate prediction of prostate cancer risk stratification.

Journal: The British journal of radiology
Published Date: Jan 4, 2023

Abstract

OBJECTIVES: To precisely predict prostate cancer (PCa) risk stratification, we constructed a machine learning (ML) model based on magnetic resonance imaging (MRI) radiomic features.

Authors

  • Xin Shu
    College of Computer Science, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan 610065, P. R. China.
  • Yunfan Liu
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Xiaofeng Qiao
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Guangyong Ai
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Li Liu
    Metanotitia Inc., Shenzhen, China.
  • Jun Liao
    Department of Pediatric Surgery, Affiliated Hospital of Guizhou Medical University, No. 28, Guiyi Street, Yunyan District, Guiyang 550002, P. R. China.
  • Zhengqiao Deng
    College of Big Data & Software Engineering, Chongqing University, Chongqing, China.
  • Xiaojing He
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

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