Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: The potential prognostic value of extranodal soft tissue metastasis (ESTM) has been confirmed by increasing studies about gastric cancer (GC). However, the gold standard of ESTM is determined by pathologic examination after surgery, and there are no preoperative methods for assessment of ESTM yet.

Authors

  • Shengyuan Liu
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Jingyu Deng
    Department of Gastrointestinal Surgery, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
  • Di Dong
    The Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Mengjie Fang
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100080, China.
  • Zhaoxiang Ye
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin 300060, China. Electronic address: yezhaoxiang@163.com.
  • Yanfeng Hu
    Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Hailin Li
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Lianzhen Zhong
    CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Runnan Cao
    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, PR China; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Hai Dian District, Beijing 100190, PR China.
  • Xun Zhao
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Wenting Shang
    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Guoxin Li
    Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China. gzliguoxin@163.com caishirong@yeah.net ehbhltj@hotmail.com keekee77@126.com.
  • Han Liang
    Department of Gastric Surgery, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.