Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta-analysis
| Autor: | Yuichi Mori, Magnus Løberg, Masashi Misawa, Mette Kalager, Michael Bretthauer, Henriette C. Jodal, Ishita Barua, Daniela Guerrero Vinsard, Øyvind Holme |
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| Rok vydání: | 2020 |
| Předmět: |
Adenoma
medicine.medical_specialty Colorectal cancer Colonic Polyps Colonoscopy Gastroenterology law.invention 03 medical and health sciences 0302 clinical medicine Randomized controlled trial Artificial Intelligence law Internal medicine medicine Humans Prospective Studies Lesion detection medicine.diagnostic_test business.industry Cancer medicine.disease 030220 oncology & carcinogenesis Meta-analysis Relative risk 030211 gastroenterology & hepatology business |
| Zdroj: | Endoscopy. 53:277-284 |
| ISSN: | 1438-8812 0013-726X |
| Popis: | Background Artificial intelligence (AI)-based polyp detection systems are used during colonoscopy with the aim of increasing lesion detection and improving colonoscopy quality. Patients and methods: We performed a systematic review and meta-analysis of prospective trials to determine the value of AI-based polyp detection systems for detection of polyps and colorectal cancer. We performed systematic searches in MEDLINE, EMBASE, and Cochrane CENTRAL. Independent reviewers screened studies and assessed eligibility, certainty of evidence, and risk of bias. We compared colonoscopy with and without AI by calculating relative and absolute risks and mean differences for detection of polyps, adenomas, and colorectal cancer. Results Five randomized trials were eligible for analysis. Colonoscopy with AI increased adenoma detection rates (ADRs) and polyp detection rates (PDRs) compared to colonoscopy without AI (values given with 95 %CI). ADR with AI was 29.6 % (22.2 % – 37.0 %) versus 19.3 % (12.7 % – 25.9 %) without AI; relative risk (RR] 1.52 (1.31 – 1.77), with high certainty. PDR was 45.4 % (41.1 % – 49.8 %) with AI versus 30.6 % (26.5 % – 34.6 %) without AI; RR 1.48 (1.37 – 1.60), with high certainty. There was no difference in detection of advanced adenomas (mean advanced adenomas per colonoscopy 0.03 for each group, high certainty). Mean adenomas detected per colonoscopy was higher for small adenomas (≤ 5 mm) for AI versus non-AI (mean difference 0.15 [0.12 – 0.18]), but not for larger adenomas (> 5 – ≤ 10 mm, mean difference 0.03 [0.01 – 0.05]; > 10 mm, mean difference 0.01 [0.00 – 0.02]; high certainty). Data on cancer are unavailable. Conclusions AI-based polyp detection systems during colonoscopy increase detection of small nonadvanced adenomas and polyps, but not of advanced adenomas. |
| Databáze: | OpenAIRE |
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