Computer-aided diagnosis improves characterization of Barrett's neoplasia by general endoscopists (with video)
- PMID: 38636819
- DOI: 10.1016/j.gie.2024.04.013
Computer-aided diagnosis improves characterization of Barrett's neoplasia by general endoscopists (with video)
Abstract
Background and aims: Characterization of visible abnormalities in patients with Barrett's esophagus (BE) can be challenging, especially for inexperienced endoscopists. This results in suboptimal diagnostic accuracy and poor interobserver agreement. Computer-aided diagnosis (CADx) systems may assist endoscopists. We aimed to develop, validate, and benchmark a CADx system for BE neoplasia.
Methods: The CADx system received pretraining with ImageNet and then consecutive domain-specific pretraining with GastroNet, which includes 5 million endoscopic images. It was subsequently trained and internally validated using 1758 narrow-band imaging (NBI) images of early BE neoplasia (352 patients) and 1838 NBI images of nondysplastic BE (173 patients) from 8 international centers. CADx was tested prospectively on corresponding image and video test sets with 30 cases (20 patients) of BE neoplasia and 60 cases (31 patients) of nondysplastic BE. The test set was benchmarked by 44 general endoscopists in 2 phases (phase 1, no CADx assistance; phase 2, with CADx assistance). Ten international BE experts provided additional benchmark performance.
Results: Stand-alone sensitivity and specificity of the CADx system were 100% and 98% for images and 93% and 96% for videos, respectively. CADx outperformed general endoscopists without CADx assistance in terms of sensitivity (P = .04). Sensitivity and specificity of general endoscopists increased from 84% to 96% and 90% to 98% with CAD assistance (P < .001). CADx assistance increased endoscopists' confidence in characterization (P < .001). CADx performance was similar to that of the BE experts.
Conclusions: CADx assistance significantly increased characterization performance of BE neoplasia by general endoscopists to the level of expert endoscopists. The use of this CADx system may thereby improve daily Barrett surveillance.
Copyright © 2024 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Disclosure The following authors disclosed financial relationships: M. Barret: research funding from Pentax Medical; consulting fees from Medtronic; medical training honorarium from Olympus; and board membership with Norgine and Ambu. J. J. Bergman: research support from Olympus Tokyo; and support for institutional review board (IRB)-approved research from Medtronic. T. Beyna: paid consultancy and lecture fees from Olympus and MicroTech; paid consultancy from Boston Scientific; and lecture fees from Fujifilm, Pentax, and Erbe. A. J. de Groof: research support from Olympus Tokyo. R. Mallant-Hent: consulting fees from Janssen. O. Pech: speaker honorarium from Boston Scientific, Medtronic, Fujifilm, Olympus, Aohua, Falk, and BMS. R. Pouw: consulting fees from Medtronic and MicroTech; and speaker fees from Pentax Medical. K. Ragunath: consulting fees from Olympus and Boston Scientific; research support from Olympus. F. van der Sommen: research support from Olympus Tokyo. P. de With: research support from Olympus Tokyo. B. Weusten: financial support for IRB-approved studies, speaker fees, and consulting fees from Pentax Medical; research support from Aqua Medical; financial support for IRB-approved studies from the St. Antonius research fund; and chair of the European Society of Gastrointestinal Endoscopy working group for the revision of the BE guideline. All other authors disclosed no financial relationships. This study received financial and logistical support from Olympus (Tokyo, Japan). Olympus did not have an active role in the design of the study, analysis of the results, or the writing of the manuscript.
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