An artificial intelligence model based on transrectal ultrasound images of biopsy needle tract tissues to differentiate prostate cancer.

Journal: Postgraduate medical journal
Published Date:

Abstract

PURPOSE: We aimed to develop an artificial intelligence (AI) model based on transrectal ultrasonography (TRUS) images of biopsy needle tract (BNT) tissues for predicting prostate cancer (PCa) and to compare the PCa diagnostic performance of the radiologist model and clinical model.

Authors

  • Shiyu Li
    Department of Biomedical Engineering, ShenZhen University, ShenZhen, 518000, China.
  • Xiuqin Ye
    Department of Ultrasound, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, China.
  • Hongtian Tian
    Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, 518020, China.
  • Zhimin Ding
    Department of Ultrasound, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, China.
  • Chen Cui
    Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai, 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing, 100049, China.
  • Siyuan Shi
    Department of Ultrasound, The Second Clinical Medical College,Jinan University, Guangdong, China.
  • Yang Yang
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Guoqiu Li
    Jinan University, Guangzhou, Guangdong, 510632, China.
  • Jing Chen
    Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Ziwei Lin
    Endocrinology and Metabolism Center, National Metabolic Management Center, Division of Metabolic Surgery for Obesity and Diabetes, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Zhipeng Ni
    Department of Ultrasound, First Affiliated Hospital of Southern University of Science and Technology, Second Clinical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, China. Electronic address: nizhip@21cn.com.
  • Jinfeng Xu
    Department of Ultrasound, The Second Clinical Medical College,Jinan University, Guangdong, China.
  • Fajin Dong
    Department of Ultrasound, The Second Clinical Medical College, Jinan University, Shenzhen, China.