Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images.

Journal: Journal of translational medicine
PMID:

Abstract

BACKGROUND: Metastasis renal cell carcinoma (RCC) patients have extremely high mortality rate. A predictive model for RCC micrometastasis based on pathomics could be beneficial for clinicians to make treatment decisions.

Authors

  • Feng Gao
    Department of Statistics, UCLA, Los Angeles, CA 90095, USA.
  • Liren Jiang
    Department of Pathology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Tuanjie Guo
    Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine.
  • Jun Lin
  • Weiqing Xu
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.
  • Lin Yuan
    Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
  • Yaqin Han
    Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jiji Yang
    Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Qi Pan
    Department of Endocrinology, Beijing Hospital, Beijing, China.
  • Enhui Chen
    Department of Pathology, Dongtai People's Hospital, Dongtai, Jiangsu, China.
  • Ning Zhang
    Institute of Nuclear Agricultural Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Siteng Chen
    Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xiang Wang
    Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.