Does computer-aided diagnostic endoscopy improve the detection of commonly missed polyps? A meta-analysis

• Published in: Clinical endoscopy Vol. 55; no. 3; pp. 355 - 364
• Main Authors: Sivananthan, Arun, Nazarian, Scarlet, Ayaru, Lakshmana, Patel, Kinesh, Ashrafian, Hutan, Darzi, Ara, Patel, Nisha
• Format: Journal Article
• Language: English
• Published: Korea (South) Korean Society of Gastrointestinal Endoscopy 01.05.2022; 대한소화기내시경학회
• Subjects: artificial intelligence; colonoscopy; colorectal neoplasms; computer-aided detection; Systematic Review and Meta-Analysis; 내과학; Colorectal neoplasms; Artificial intelligence; Computer-aided detection; Colonoscopy
• ISSN: 2234-2400; 2234-2443
• DOI: 10.5946/ce.2021.228

Colonoscopy is the gold standard diagnostic method for colorectal neoplasia, allowing detection and resection of adenomatous polyps; however, significant proportions of adenomas are missed. Computer-aided detection (CADe) systems in endoscopy are currently available to help identify lesions. Diminutive (≤5 mm) and nonpedunculated polyps are most commonly missed. This meta-analysis aimed to assess whether CADe systems can improve the real-time detection of these commonly missed lesions. A comprehensive literature search was performed. Randomized controlled trials evaluating CADe systems categorized by morphology and lesion size were included. The mean number of polyps and adenomas per patient was derived. Independent proportions and their differences were calculated using DerSimonian and Laird random-effects modeling. Seven studies, including 2,595 CADe-assisted colonoscopies and 2,622 conventional colonoscopies, were analyzed. CADe-assisted colonoscopy demonstrated an 80% increase in the mean number of diminutive adenomas detected per patient compared with conventional colonoscopy (0.31 vs. 0.17; effect size, 0.13; 95% confidence interval [CI], 0.09-0.18); it also demonstrated a 91.7% increase in the mean number of nonpedunculated adenomas detected per patient (0.32 vs. 0.19; effect size, 0.05; 95% CI, 0.02-0.07). CADe-assisted endoscopy significantly improved the detection of most commonly missed adenomas. Although this method is a potentially exciting technology, limitations still apply to current data, prompting the need for further real-time studies.