Artificial intelligence–assisted colonoscopy for adenoma and polyp detection: an updated systematic review and meta-analysis

结肠镜检查 医学 相对风险 荟萃分析 随机对照试验 内科学 腺瘤 置信区间 胃肠病学 系统回顾 梅德林 结直肠癌 癌症 政治学 法学
作者
Mohamed G. Shiha,Priya Oka,Suneil A Raju,Foong Way David Tai,Hey‐Long Ching,Mo Thoufeeq,Reena Sidhu,Mark E. McAlindon,David S. Sanders
标识
DOI:10.1016/j.igie.2023.05.001
摘要

Background and AimsThere is a growing interest in the role of artificial intelligence in colonoscopy. The aim of this systematic review and meta-analysis was to evaluate the efficacy of computer-aided detection (CADe) of colorectal adenomas and polyps.MethodsThe MEDLINE, Embase, and Cochrane Central of Controlled Trials (from inception to December 2022) databases were searched for randomized controlled trials comparing colonoscopy with CADe versus standard colonoscopy (SC). We performed a random-effects meta-analysis and reported the results as relative risks (RRs) or mean difference with 95% confidence intervals (CIs).ResultsTwelve randomized controlled trials comprising 11,340 patients were included in the final analysis. The pooled adenoma detection rate was significantly higher in the CADe group compared with the SC group (41.4% vs 33%; RR, 1.26; 95% CI, 1.18-1.35). CADe increased the detection of adenomas regardless of their size (≤5 mm [RR, 1.56; 95% CI, 1.38-1.77], 6-9 mm [RR, 1.24; 95% CI, 1.05-1.47], and ≥10 mm [RR, 1.30; 95% CI, 1.11-1.53]), location (proximal colon [RR, 1.41; 95% CI, 1.26-1.58] and distal colon [RR, 1.44; 95% 1.29-1.61]), or morphology (polypoid [RR, 1.35; 95% CI, 1.17-1.56] and nonpolypoid [RR, 1.55; 95% CI, 1.25-1.93]). There was no difference between the CADe and SC groups in detecting advanced adenomas or sessile serrated lesions. Colonoscopy withdrawal time was longer in the CADe group compared with the SC group (mean difference, .34 minute; 95% CI, .17-.51).ConclusionsUsing CADe during colonoscopy is associated with a significant increase in adenoma detection rate and adenomas per colonoscopy, mainly due to the increased detection of diminutive adenomas. There is a growing interest in the role of artificial intelligence in colonoscopy. The aim of this systematic review and meta-analysis was to evaluate the efficacy of computer-aided detection (CADe) of colorectal adenomas and polyps. The MEDLINE, Embase, and Cochrane Central of Controlled Trials (from inception to December 2022) databases were searched for randomized controlled trials comparing colonoscopy with CADe versus standard colonoscopy (SC). We performed a random-effects meta-analysis and reported the results as relative risks (RRs) or mean difference with 95% confidence intervals (CIs). Twelve randomized controlled trials comprising 11,340 patients were included in the final analysis. The pooled adenoma detection rate was significantly higher in the CADe group compared with the SC group (41.4% vs 33%; RR, 1.26; 95% CI, 1.18-1.35). CADe increased the detection of adenomas regardless of their size (≤5 mm [RR, 1.56; 95% CI, 1.38-1.77], 6-9 mm [RR, 1.24; 95% CI, 1.05-1.47], and ≥10 mm [RR, 1.30; 95% CI, 1.11-1.53]), location (proximal colon [RR, 1.41; 95% CI, 1.26-1.58] and distal colon [RR, 1.44; 95% 1.29-1.61]), or morphology (polypoid [RR, 1.35; 95% CI, 1.17-1.56] and nonpolypoid [RR, 1.55; 95% CI, 1.25-1.93]). There was no difference between the CADe and SC groups in detecting advanced adenomas or sessile serrated lesions. Colonoscopy withdrawal time was longer in the CADe group compared with the SC group (mean difference, .34 minute; 95% CI, .17-.51). Using CADe during colonoscopy is associated with a significant increase in adenoma detection rate and adenomas per colonoscopy, mainly due to the increased detection of diminutive adenomas.
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