作者
Joel Troya, Adrian Krenzer, Krzysztof Flisikowski, Boban Sudarevic, Michael Banck, Alexander Hann, Frank Puppe, Alexander Meining
发表日期
2022/4/1
期刊
Gastrointestinal Endoscopy
卷号
95
期号
4
页码范围
794-798
出版商
Mosby
简介
Background and Aims
Adenoma detection rate is the crucial parameter for colorectal cancer screening. Increasing the field of view with additional side optics has been reported to detect flat adenomas hidden behind folds. Furthermore, artificial intelligence (AI) has also recently been introduced to detect more adenomas. We therefore aimed to combine both technologies in a new prototypic colonoscopy concept.
Methods
A 3-dimensional–printed cap including 2 microcameras was attached to a conventional endoscope. The prototype was applied in 8 gene-targeted pigs with mutations in the adenomatous polyposis coli gene. The first 4 animals were used to train an AI system based on the images generated by microcameras. Thereafter, the conceptual prototype for detecting adenomas was tested in a further series of 4 pigs.
Results
Using our prototype, we detected, with side optics, adenomas that might have been …
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