Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases.

Journal: Medical physics
Published Date: Nov 30, 2020

Abstract

PURPOSE: The purpose of this study was to develop and validate a deep learning (DL)-based radiomics model to predict the response to chemotherapy in colorectal liver metastases (CRLM).

Authors

  • Jingwei Wei
    Animal Reproduction Institute, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, China.
  • Jin Cheng
    School of Medical Technology, Qiqihar Medical University, Qiqihar, 161006, Heilongjiang, China.
  • Dongsheng Gu
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Fan Chai
    Department of Radiology, Peking University People's Hospital, Beijing, 100044, China.
  • Nan Hong
    Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Yi Wang
    Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

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