Poster Session I - A48 DIGITAL MICROSCOPY IN THE ENDOSCOPY SUITE: A REFERENCE STANDARD FOR COLORECTAL POLYP SIZE MEASUREMENT
Year: 2026
Type: article
Abstract: Background Accurate determination of colorectal polyp size is critical for surveillance recommendations and for generating reliable ground truth in artificial intelligence (AI) development. Visual estimation during endoscopy is imprecise, and no validated reference standard exists. Aims We aimed to assess the accuracy and reproducibility of real-time digital microscopic measurement of fresh polypectomy specimens. Methods In this prospective study at the Centre hospitalier de l’Université de Montréal (CHUM), 70 polyps from 44 patients (mean age 65.4 years; 52.3% female) were measured on-site using a calibrated digital microscope. Three independent raters, blinded to each other, obtained long- and short-axis measurements. The primary outcome was inter-rater reliability for long-axis measurements. Secondary outcomes included short-axis reliability, overall agreement, and classification (≤5 mm vs. >5 mm). Results Of the included lesions, 65.7% were adenomas, 14.3% hyperplastic, and 10.0% inflammatory. Inter-rater reliability was excellent for both long-axis (ICC 0.941, 95% CI 0.914–0.961) and short-axis (ICC 0.943, 95% CI 0.917–0.962) measurements. Bland–Altman plots demonstrated mean differences close to zero across all rater pairs, without systematic bias. Limits of agreement were within ±1 mm. When dichotomized at the 5 mm threshold, agreement was perfect (κ = 1.0). Conclusions On-site digital microscopic measurement of fresh polyps provides highly reproducible, unbiased, and verifiable size data with photographic documentation. This method should be considered the reference standard for establishing accurate ground truth datasets in the development and validation of AI-assisted polyp sizing models. A47 Table 1: Polyp characteristics Funding Agencies None
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,198
OpenAlex ID: W7128808584
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