Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection.

Journal: World journal of gastroenterology
PMID: 40124266

Abstract

BACKGROUND: Colorectal polyps are precancerous diseases of colorectal cancer. Early detection and resection of colorectal polyps can effectively reduce the mortality of colorectal cancer. Endoscopic mucosal resection (EMR) is a common polypectomy procedure in clinical practice, but it has a high postoperative recurrence rate. Currently, there is no predictive model for the recurrence of colorectal polyps after EMR.

Authors

  • Yi-Heng Shi
    Department of Gastroenterology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China.
  • Jun-Liang Liu
    Department of Gastroenterology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China.
  • Cong-Cong Cheng
    Department of Gastroenterology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China.
  • Wen-Ling Li
    Department of Functional Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
  • Han Sun
    Division of Nephrology,Departmentof Geriatrics, The First Affiliated Hospital of Nanjing Medical University,300 Guangzhou Road, Nanjing, Jiangsu 210029, China.
  • Xi-Liang Zhou
    Department of Gastroenterology, Xuzhou Central Hospital, The Affiliated Xuzhou Hospital of Medical College of Southeast University, Xuzhou 221009, Jiangsu Province, China.
  • Hong Wei
    Department of Materials Science and Engineering, University of California, Irvine, California 92697, United States.
  • Su-Juan Fei
    Department of Gastroenterology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China. xyfyfeisj99@163.com.

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