S1310 Accuracy of Virtual Scale Endoscopy in Colorectal Polyp Size Measurement: Pairwise and Network Meta-Analysis

Introduction: Colorectal cancer (CRC) is a leading cause of cancer death. Accurate in vivo polyp measurement is key for management, but visual assessment (VA) is often unreliable, correctly sizing only half and misclassifying up to one-third. Traditional tools like forceps and snares offer limited precision. Virtual Scale Endoscopy (VSE), a laser-calibrated overlay that adjusts for distance in real-time, shows promise for improving measurement accuracy without compromising efficiency. Methods: A pairwise meta-analysis comparing VSE to VA and a frequentist network meta-analysis (NMA) comparing VSE to VA, snare, and forceps were conducted from PubMed, Cochrane, WoS, Embase, and Scopus. Risk ratios (RR) were calculated for categorical outcomes and mean differences (MD) for continuous outcomes, each with a 95% confidence interval (CI). Intervention rankings were estimated with NMA by the Surface Under the Cumulative Ranking curve (SUCRA). Results: Twelve studies were included, comprising 1,608 polyps from both clinical and preclinical trials, including 2,866 patients from 7 clinical studies. In pairwise analysis, relative accuracy significantly improved with VSE compared to VA in both preclinical (MD 14.14, 95% CI: 6.54–21.74) and clinical settings (MD 14.86, 95% CI: 10.45–19.26). Correct size estimation also improved with VSE (RR 1.96, 95% CI: 1.64–2.33). In the NMA, VSE reduced misclassification for polyps >5 mm (RR 3.51 vs VA, 95% CI: 1.88–6.55; RR 3.26 vs snare, 95% CI: 1.66–6.39), >10 mm (RR 2.08 vs VA, 95% CI: 1.14–3.81), and >20 mm (RR 2.40 vs VA, 95% CI: 1.30–4.46; RR 8.00 vs forceps, 95% CI: 1.17–54.5). No significant differences were observed at size thresholds >3 mm, ≤5 mm, or ≤10 mm. Snare ranked highest for overestimation (SUCRA 69%), followed by VSE (63%), but differences were insignificant. Underestimation was lowest with VSE (SUCRA 80%), though differences from VA, snare, or forceps were insignificant. No significant differences were found for total misclassification (P = 0.438), overestimation (P = 0.617), or underestimation (P = 0.592). Conclusion: VSE significantly improved colorectal polyp size measurement accuracy compared to traditional VA. VSE also reduced measurement variability and misclassification compared to VA, snare, and forceps at clinically critical size thresholds. This can improve decision-making in polypectomy and surveillance, especially for diminutive and small polyps. However, larger multicenter randomized trials are needed to confirm these benefits.

Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001132700.24594.35
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

S1310 Accuracy of Virtual Scale Endoscopy in Colorectal Polyp Size Measurement: Pairwise and Network Meta-Analysis

The American Journal of Gastroenterology
Colorectal Cancer Screening and Detection
article

S1310 Accuracy of Virtual Scale Endoscopy in Colorectal Polyp Size Measurement: Pairwise and Network Meta-Analysis

article en

Abstract

Introduction: Colorectal cancer (CRC) is a leading cause of cancer death. Accurate in vivo polyp measurement is key for management, but visual assessment (VA) is often unreliable, correctly sizing only half and misclassifying up to one-third. Traditional tools like forceps and snares offer limited precision. Virtual Scale Endoscopy (VSE), a laser-calibrated overlay that adjusts for distance in real-time, shows promise for improving measurement accuracy without compromising efficiency. Methods: A pairwise meta-analysis comparing VSE to VA and a frequentist network meta-analysis (NMA) comparing VSE to VA, snare, and forceps were conducted from PubMed, Cochrane, WoS, Embase, and Scopus. Risk ratios (RR) were calculated for categorical outcomes and mean differences (MD) for continuous outcomes, each with a 95% confidence interval (CI). Intervention rankings were estimated with NMA by the Surface Under the Cumulative Ranking curve (SUCRA). Results: Twelve studies were included, comprising 1,608 polyps from both clinical and preclinical trials, including 2,866 patients from 7 clinical studies. In pairwise analysis, relative accuracy significantly improved with VSE compared to VA in both preclinical (MD 14.14, 95% CI: 6.54–21.74) and clinical settings (MD 14.86, 95% CI: 10.45–19.26). Correct size estimation also improved with VSE (RR 1.96, 95% CI: 1.64–2.33). In the NMA, VSE reduced misclassification for polyps >5 mm (RR 3.51 vs VA, 95% CI: 1.88–6.55; RR 3.26 vs snare, 95% CI: 1.66–6.39), >10 mm (RR 2.08 vs VA, 95% CI: 1.14–3.81), and >20 mm (RR 2.40 vs VA, 95% CI: 1.30–4.46; RR 8.00 vs forceps, 95% CI: 1.17–54.5). No significant differences were observed at size thresholds >3 mm, ≤5 mm, or ≤10 mm. Snare ranked highest for overestimation (SUCRA 69%), followed by VSE (63%), but differences were insignificant. Underestimation was lowest with VSE (SUCRA 80%), though differences from VA, snare, or forceps were insignificant. No significant differences were found for total misclassification (P = 0.438), overestimation (P = 0.617), or underestimation (P = 0.592). Conclusion: VSE significantly improved colorectal polyp size measurement accuracy compared to traditional VA. VSE also reduced measurement variability and misclassification compared to VA, snare, and forceps at clinically critical size thresholds. This can improve decision-making in polypectomy and surveillance, especially for diminutive and small polyps. However, larger multicenter randomized trials are needed to confirm these benefits.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 33%
Colorectal Cancer Screening and Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.