JGH Open (Sep 2024)

Endoscopic appearances of gastric mucosa in different endoscopic models according to H. pylori infection status

  • Shinwari Abdullah Jan,
  • Hashimi Sayed Zekria

DOI
https://doi.org/10.1002/jgh3.70028
Journal volume & issue
Vol. 8, no. 9
pp. n/a – n/a

Abstract

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Abstract Background H. pylori infection has been recognized as a type 1 carcinogen of the gastric malignancy; therefore, early diagnosis and treatment are the corner stone of eradication. Recent findings have also shown that atrophy and intestinal metaplasia remain after successful eradication, which moderately increases the risk of gastric cancer compared with those who have never infected, so the evaluation of gastric mucosa during gastroscopy is important. Aims We aimed to describe and summarize the reliable literature and proposed features of H. pylori infection status and gastritis in research on newly developed endoscopic models that influence clinical practice. In the result, conventional white light endoscopic, image‐enhanced endoscopic models, and studies related to the Kyoto classification of gastritis were searched and reviewed. Results Kyoto classification of gastritis and modified Kyoto classification scoring model for gastritis using conventional white light image (CWLI) endoscopy is an effective tool for evaluating current H. pylori infection status, past infections, eradications, noninfections, and pre‐cancerous conditions. This model is widely used, low cost, and time‐efficient, and is supported by recent findings. Advanced image‐enhanced endoscopic models combined with magnifying endoscopy provide more clear endoscopic features for H. pylori infection status and early gastric cancer. Conclusion According to H pylori infection status, endoscopic prediction of gastric mucosal surface architecture analysis is possible, which influences clinical management. Endoscopic models might lead us to accurate and early diagnose of H. pylori infection status and may not be effective only for the eradication of H. pylori infection but also in the detection of early gastric cancer status.

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