Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study.

Journal: Journal of cancer research and clinical oncology
Published Date:

Abstract

OBJECTIVE: To develop an ultrasound-driven clinical deep learning radiomics (CDLR) model for stratifying the risk of testicular masses, aiming to guide individualized treatment and minimize unnecessary procedures.

Authors

  • Fuxiang Fang
    Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China.
  • Yan Sun
    Department of Biochemistry, Albert Einstein College of Medicine, New York, NY, United States.
  • Hualin Huang
    Department of Emergency, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
  • Yueting Huang
    Department of Epidemiology and Health Statistics, School of Public Health of Guangxi Medical University, Nanning, 530021, China.
  • Xing Luo
    College of Mechanical and Control Engineering, Guilin University of Technology, Guilin, Guangxi 541004, China.
  • Wei Yao
    Department of Respiratory Medicine, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Liyan Wei
    Department of Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
  • Guiwu Xie
    Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China.
  • Yongxian Wu
    Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China.
  • Zheng Lu
    Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
  • Jiawen Zhao
    Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China. 569994559@qq.com.
  • Chengyang Li
    Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China. lcy_urology@163.com.