Endoscopic three-categorical diagnosis of Helicobacter pylori infection using linked color imaging and deep learning: a single-center prospective study (with video).

Journal: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Published Date: Nov 1, 2020

Abstract

BACKGROUND: Helicobacter pylori (H. pylori) eradication is required to reduce incidence related to gastric cancer. Recently, it was found that even after the successful eradication of H. pylori, an increased, i.e., moderate, risk of gastric cancer persists in patients with advanced mucosal atrophy and/or intestinal metaplasia. This study aimed to develop a computer-aided diagnosis (CAD) system to classify the status of H. pylori infection of patients into three categories: uninfected (with no history of H. pylori infection), currently infected, and post-eradication.

Authors

  • Hirotaka Nakashima
    Department of Gastroenterology, Foundation for Detection of Early Gastric Carcinoma, Tokyo, Japan.
  • Hiroshi Kawahira
    Center for Frontier Medical Engineering, Chiba University, 1-33 Yayoicho, Inage-ku, Chiba, 263-8522, Japan.
  • Hiroshi Kawachi
    Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Nobuhiro Sakaki
    Foundation for Detection of Early Gastric Carcinoma, 2-6-12 Nihombashikayabacho Chuo Ward, Tokyo, 103-0025, Japan.

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