Machine learning to predict lymph node metastasis in T1 esophageal squamous cell carcinoma: a multicenter study.

Journal: International journal of surgery (London, England)
Published Date: Dec 1, 2024

Abstract

BACKGROUND: Existing models do poorly when it comes to quantifying the risk of lymph node metastases (LNM). This study aimed to develop a machine-learning model for LNM in patients with T1 esophageal squamous cell carcinoma (ESCC).

Authors

  • Xu Huang
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Qingle Wang
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Wenyi Xu
  • Fangyi Liu
    The School of Basic Medical Sciences, Fudan University, Shanghai, China.
  • Liangwei Pan
    Department of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, China.
  • Heng Jiao
    Department of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, China.
  • Jun Yin
    Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
  • Hongbo Xu
    Department of Cardiothoracic Surgery, Lu'an Affiliated Hospital of Anhui Medical University, Lu'an, People's Republic of China.
  • Han Tang
    Department of Thoracic Surgery, Zhongshan Hospital, Fudan University Shanghai, China.
  • Lijie Tan
    Department of Thoracic Surgery, Zhongshan Hospital Affiliated to Fudan University, Shanghai, China.

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