Artificial intelligence for evaluating the risk of gastric cancer: reliable detection and scoring of intestinal metaplasia with deep learning algorithms.

Journal: Gastrointestinal endoscopy
Published Date: Dec 1, 2023

Abstract

BACKGROUND AND AIMS: Gastric cancer (GC) is associated with chronic gastritis. To evaluate the risk, the Operative Link on Gastric Intestinal Metaplasia Assessment (OLGIM) system was constructed and showed a higher GC risk in stage III or IV patients, determined by the degree of intestinal metaplasia (IM). Although the OLGIM system is useful, evaluating the degree of IM requires substantial experience to produce precise scoring. Whole-slide imaging is becoming routine, but most artificial intelligence (AI) systems in pathology are focused on neoplastic lesions.

Authors

  • Mai Iwaya
    Department of Laboratory Medicine, Shinshu University Hospital, Nagano, Japan; Japanese Society of Pathology, Tokyo, Japan.
  • Yuichiro Hayashi
    Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan.
  • Yasuhiro Sakai
    Japanese Society of Pathology, Tokyo, Japan; Department of Laboratory Medicine, Fujita Health University School of Medicine, Aichi, Japan.
  • Akihiko Yoshizawa
    Japanese Society of Pathology, Tokyo, Japan.
  • Yugo Iwaya
    Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Nagano, Japan.
  • Takeshi Uehara
    Department of Laboratory Medicine, Shinshu University School of Medicine, Japan.
  • Masanobu Kitagawa
    Japanese Society of Pathology, Tokyo, Japan.
  • Masashi Fukayama
    Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
  • Kensaku Mori
    Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
  • Hiroyoshi Ota
    Department of Biomedical Laboratory Sciences, School of Health Sciences, Shinshu University, Matsumoto, Japan.

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