ArticleGastroenterology report2026
Development and validation of a real-time computer-aided measuring system for colorectal polyp size (with video).
Article in Gastroenterology report, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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21 authors.
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Abstract
Background: Polyp size measurement is critical in determining the resection method and surveillance interval; however, the accuracy and reliability of existing measurement methods are suboptimal. We establish a computer-aided measuring (CAM) system to automatically and accurately measure colorectal polyp size in real time. Methods: We conducted a hybrid retrospective and prospective preclinical study to develop models retrospectively and validate them prospectively. The CAM system includes two deep learning models: a polyp detection model trained on 15,620 images and tested on 4,438 images and a depth-map prediction model trained on 18,500 red-green-blue depth-map pairs and tested on 1,500 pairs. A digitized three-dimensional model development setting (3D-MDS) was used to validate the CAM system; here, 3,750 red-green-blue images from 15 digital virtual 3D polyps were generated for size measurements. A high-simulation colon/polyp model was used to test real-time polyp size measurement performance. Results: In the 3D-MDS, the CAM system had an average relative error of 7.9% (standard deviation 4.19%) for the depth-map prediction model and a mean percentage error of 7.9% (interquartile range [IQR] 4.6%-10.4%) for the polyp size measurement. In the high-simulation colon/polyp model, the CAM system's depth distance measurement had a percentage error of 12.0% (IQR 5.5%-15.7%). For the polyp size measurement, the highest accuracy and reliability were achieved at the medium-depth distance and the position within the center field-of-view, with percentage errors of 4.1% (IQR 2.6%-4.5%) and 3.3% (IQR 1.8%-3.5%) for the first and second measurements, respectively, and an intraclass correlation coefficient of 0.999. Conclusions: The CAM system showed excellent accuracy and reliability in diverse testing scenarios; here, the medium-depth distance (15-35 mm) and the position within the center field-of-view was likely the optimal measurement location.
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