Computer-aided diagnosis for colorectal polyp in comparison with endoscopists: Systematic review and meta-analysis

计算机辅助诊断与内镜医师在结直肠息肉诊断中的比较:系统评价和荟萃分析

阅读:1

Abstract

OBJECTIVES: Computer-aided diagnosis (CADx) is anticipated to enhance the prediction of colorectal polyp histology. This study aims to compare the diagnostic accuracy of CADx in the optical diagnosis of colorectal polyps, evaluating its performance against that of both experienced and inexperienced endoscopists. METHODS: The protocol of this study was registered in the International Prospective Register of Systematic Reviews (PROSPERO) (ID: CRD42024585097). Three electronic databases including MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched in September 2024. A bivariate random effects model was employed. The primary outcome was the comparison of sensitivity and specificity between CADx and experienced endoscopists; the secondary outcome was the comparison between CADx and inexperienced endoscopists. RESULTS: Twenty-one studies involving 5477 polyps were included. The pooled sensitivities of CADx and experienced endoscopists were 0.87 (95% confidence interval [CI] 0.82-0.91) and 0.88 (95% CI 0.83-0.91), respectively (P = 0.93). The pooled specificities of CADx and experienced endoscopists were 0.85 (95% CI 0.78-0.90) and 0.87 (95% CI 0.82-0.92), respectively (P = 0.53). In nine studies comparing CADx with inexperienced endoscopists, the pooled sensitivities were 0.88 (95% CI 0.82-0.92) for CADx and 0.85 (95% CI 0.78-0.90) for inexperienced endoscopists (P = 0.46). The pooled specificities were 0.84 (95% CI 0.78-0.88) for CADx and 0.77 (95% CI 0.70-0.83) for inexperienced endoscopists (P = 0.16). CONCLUSION: Computer-aided diagnosis does not demonstrate superior diagnostic accuracy in optical diagnosis of colorectal polyps compared to endoscopists, regardless of their experience level.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。