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A systematic review of the role of non-magnified endoscopy for the assessment of H. pylori infection

Authors :
Ben Glover
Julian Teare
Nisha Patel
Source :
Endoscopy International Open, E114, E105, Endoscopy International Open, Vol 08, Iss 02, Pp E105-E114 (2020)
Publication Year :
2020
Publisher :
Georg Thieme Verlag KG, 2020.

Abstract

Background and study aims There is growing interest in the endoscopic recognition of Helicobacter pylori infection, and application to routine practice. We present a systematic review of the current literature regarding diagnosis of H. pylori during standard (non-magnified) endoscopy, including adjuncts such as image enhancement and computer-aided diagnosis. Method The Medline and Cochrane databases were searched for studies investigating performance of non-magnified optical diagnosis for H. pylori, or those which characterized mucosal features associated with H. pylori infection. Studies were preferred with a validated reference test as the comparator, although they were included if at least one validated reference test was used. Results Twenty suitable studies were identified and included for analysis. In total, 4,703 patients underwent investigation including white light endoscopy, narrow band imaging, i-scan, blue-laser imaging, and computer-aided diagnostic techniques. The endoscopic features of H. pylori infection observed using each modality are discussed and diagnostic accuracies reported. The regular arrangement of collecting venules (RAC) is an important predictor of the H. pylori-naïve stomach. “Mosaic” and “mottled” patterns have a positive association with H. pylori infection. The “cracked” pattern may be a predictor of an H. pylori-negative stomach following eradication. Conclusions This review summarizes current progress made in endoscopic diagnosis of H. pylori infection. At present there is no single diagnostic approach that provides validated diagnostic accuracy. Further prospective studies are required, as is development of a validated classification system. Early studies in computer-aided diagnosis suggest potential for a high level of accuracy but real-time results are awaited.

Details

ISSN :
21969736 and 23643722
Database :
OpenAIRE
Journal :
Endoscopy International Open
Accession number :
edsair.doi.dedup.....d37b71bf44287d121ec5dfa560564402
Full Text :
https://doi.org/10.1055/a-0999-5252