학술논문
Determination of gastric atrophy with artificial intelligence compared to the assessments of the modified Kyoto and OLGA classifications
Document Type
article
Author
Source
JGH Open, Vol 6, Iss 10, Pp 704-710 (2022)
Subject
Language
English
ISSN
2397-9070
Abstract
Abstract Background and Aim Gastric atrophy is a precancerous lesion. We aimed to clarify whether gastric atrophy determined by artificial intelligence (AI) correlates with the diagnosis made by expert endoscopists using several endoscopic classifications, the Operative Link on Gastritis Assessment (OLGA) classification based on histological findings, and genotypes associated with gastric atrophy and cancer. Methods Two hundred seventy Helicobacter pylori‐positive outpatients were enrolled. All patients' endoscopy data were retrospectively evaluated based on the Kimura‐Takemoto, modified Kyoto, and OLGA classifications. The AI‐trained neural network generated a continuous number between 0 and 1 for gastric atrophy. Nucleotide variance of some candidate genes was confirmed or selectively assessed for a variety of genotypes, including the COX‐21195, IL‐1β 511, and mPGES‐1 genotypes. Results There were significant correlations between determinations of gastric atrophy by AI and by expert endoscopists using not only the Kimura‐Takemoto classification (P