Artificial Intelligence Models May Aid in Predicting Lymph Node Metastasis in Patients with T1 Colorectal Cancer.

Journal: Gut and liver
PMID:

Abstract

BACKGROUND/AIMS: Inaccurate prediction of lymph node metastasis (LNM) may lead to unnecessary surgery following endoscopic resection of T1 colorectal cancer (CRC). We aimed to validate the usefulness of artificial intelligence (AI) models for predicting LNM in patients with T1 CRC.

Authors

  • Ji Eun Baek
    Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Hahn Yi
    Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Seung Wook Hong
    Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Subin Song
    Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Ji Young Lee
  • Sung Wook Hwang
    Department of Gastroenterology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Sang Hyoung Park
    Department of Gastroenterology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Dong-Hoon Yang
    Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Byong Duk Ye
    Department of Gastroenterology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Seung-Jae Myung
    Department of Gastroenterology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Suk-Kyun Yang
    Department of Gastroenterology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Namkug Kim
    Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Jeong-Sik Byeon
    Department of Gastroenterology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea. jsbyeon@amc.seoul.kr.