Reply to Lenti et al.

作者：Shurong Chen, Lan‐Ping Xu, Ting Li, Yi Chen · 发表于：Endoscopy · 年份：2025 · DOI：10.1055/a-2487-1306 · 研究领域：Helicobacter pylori-related gastroenterology studies、Eosinophilic Esophagitis、Esophageal Cancer Research and Treatment

Letter to: A step forward for improving the endoscopic diagnosis of autoimmune gastritis Endoscopy 2025; 57(04): 424-424 DOI: 10.1055/a-2481-6915 10.1055/a-2481-6915 We would like to thank the insightful comments by Professor Lenti et al. regarding our recent paper [ 11 ]. In our study, we applied internationally recognized criteria to establish autoimmune gastritis (AIG) diagnosis, with clinical, serological, and histopathological confirmation [ 22 ] [ 33 ] [ 44 ]. Given the study’s proof-of-concept nature, we selected cases of “pure” AIG (seropositive and Helicobacter pylori -naïve) to make a differential diagnosis from H. pylori -associated atrophic gastritis (HpAG) and nonatrophic gastritis (NAG). The primary aim of our study was to develop an artificial intelligence (AI)-assisted system to facilitate diagnosis of AIG during endoscopy and to construct a generalized system capable of classifying different types of gastritis (AIG, HpAG, and NAG). Our AI system demonstrated expert-level visual diagnostic abilities, effectively predicting histology-based diagnosis and showing potential to guide biopsy sampling. We have high regard for the recent studies on the natural history of AIG, which provide valuable clinical insights and descriptions of special types of AIG (i.e. seronegative AIG) [ 55 ] [ 66 ]. However, owing to retrospective design limitations and cross-center variability, subgroup analysis regarding histopathological staging was not conducted in our study. Nonethele...