Artificial intelligence-based marks detection and incision guide line prediction model in esophageal endoscopic submucosal dissection: a multicenter study (with video).

Journal: Surgical endoscopy
Published Date: Jun 20, 2025

Abstract

BACKGROUND: Endoscopic submucosal dissection (ESD) was an important minimally invasive procedure for treating early esophageal cancer, where the surrounding mucosal incision (SMI) was a crucial yet challenging phase. This study aimed to develop an artificial intelligence (AI) model for marks detection and incision guide line prediction during SMI, and to evaluate its performance compared to multicenter endoscopists.

Authors

  • Ruide Liu
    Department of Pathology, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China.
  • Xianglei Yuan
    Department of Gastroenterology and Hepatology, Digestive Endoscopy Medical Engineering Research Laboratory, Wuhou District, West China Hospital, Sichuan University, No. 37, Guo Xue Alley, Chengdu City, 610041, Sichuan Province, China.
  • Kaide Huang
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China; and.
  • Qi Luo
    B-DAT & CICAEET, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, PR China.
  • Nuoya Zhou
    Department of Gastroenterology and Hepatology, Digestive Endoscopy Medical Engineering Research Laboratory, West China Hospital, Sichuan University, No.37, Guo Xue Alley, Wuhou District, Chengdu, Sichuan, China.
  • ChunCheng Wu
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Tingfa Peng
    Department of Gastroenterology and Hepatology, Digestive Endoscopy Medical Engineering Research Laboratory, Wuhou District, West China Hospital, Sichuan University, No. 37, Guo Xue Alley, Chengdu City, 610041, Sichuan Province, China.
  • Wanhong Zhang
    Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
  • Xiaogang Bi
    Department of Gastroenterology, Zigong Fourth People's Hospital, Zigong, China.
  • Xin Chen
    University of Nottingham, Nottingham, United Kingdom.
  • Wei Wei
    Dept. Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Yinong Zhu
    Department of Gastroenterology and Hepatology, Digestive Endoscopy Medical Engineering Research Laboratory, West China Hospital, Sichuan University, No.37, Guo Xue Alley, Wuhou District, Chengdu, Sichuan, China.
  • Lifan Zhang
    Division of Infectious Diseases, Department of Internal Medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Zhang Yi
  • Bing Hu
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.

Keywords

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