Differentiating Benign from Malignant Renal Tumors Using T2- and Diffusion-Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date:

Abstract

BACKGROUND: Differentiating benign from malignant renal tumors is important for selection of the most effective treatment.

Authors

  • Qing Xu
    Department of Reproductive Medicine, Zigong Hospital of Women and Children Health Care, Zigong, China.
  • QingQiang Zhu
    Department of Medical Imaging, Clinic Medical School, Yangzhou University, Northern Jiangsu Province Hospital, Yangzhou, China.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • LuFan Chang
    Yizhun Medical AI, Beijing, China.
  • Shaofeng Duan
    GE Healthcare China, Shanghai, China.
  • Weiqiang Dou
    Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
  • SaiYang Li
    Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
  • Jing Ye
    d Department of Digestive System Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang Province, China.