A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study.

Journal: European journal of radiology
PMID: 37562222

Abstract

BACKGROUND AND PURPOSE: The Stage, Size, Grade and Necrosis (SSIGN) score is the most commonly used prognostic model in clear cell renal cell carcinoma (ccRCC) patients. It is a great challenge to preoperatively predict SSIGN score and outcome of ccRCC patients. The aim of this study was to develop and validate a CT-based deep learning radiomics model (DLRM) for predicting SSIGN score and outcome in localized ccRCC.

Authors

  • Pei Nie
    Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao, China.
  • Shihe Liu
    Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
  • Ruizhi Zhou
    Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
  • Xiaoli Li
    State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
  • Kaiyue Zhi
    Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
  • Yanmei Wang
    CAS Key Laboratory of Soft Matter Chemistry, Department of Polymer Science and Engineering, University of Science and Technology of China, Hefei 230026, PR China. Electronic address: wangyanm@ustc.edu.cn.
  • Zhengjun Dai
    Scientific Research Department, Huiying Medical Technology Co., Ltd, Beijing, China.
  • Lianzi Zhao
    Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Ning Wang
    Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, Shandong, China.
  • Xia Zhao
    Stony Brook University, Stony Brook, NY.
  • Xianjun Li
    Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China. Electronic address: xianj.li@mail.xjtu.edu.cn.
  • Nan Cheng
  • Yicong Wang
    Department of Nuclear Medicine, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Chengcheng Chen
    Department of Radiology, Rizhao People's Hospital, Rizhao, Shandong, China.
  • Yuchao Xu
    School of Nuclear Science and Technology, University of South China, Hengyang City 421001, China.
  • Guangjie Yang
    Department of Nuclear Medicine, the Affiliated Hospital of Qingdao University, No. 59, Haier Road, Qingdao, 266061, Shandong, China.

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