Shinozaki Satoshi, Watanabe Jun, Kanno Takeshi, Yuan Yuhong, Yano Tomonori, Yamamoto Hironori
Shinozaki Medical Clinic, Tochigi, Japan.
Division of Gastroenterology, Department of Medicine, Jichi Medical University, Tochigi, Japan.
Dig Endosc. 2025 Sep;37(9):933-947. doi: 10.1111/den.15047. Epub 2025 May 16.
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.
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.
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).
Computer-aided diagnosis does not demonstrate superior diagnostic accuracy in optical diagnosis of colorectal polyps compared to endoscopists, regardless of their experience level.
计算机辅助诊断(CADx)有望提高结直肠息肉组织学的预测能力。本研究旨在比较CADx在结直肠息肉光学诊断中的诊断准确性,评估其与经验丰富和经验不足的内镜医师的诊断性能。
本研究方案已在国际前瞻性系统评价注册库(PROSPERO)中注册(ID:CRD42024585097)。2024年9月检索了包括MEDLINE、Embase和Cochrane对照试验中央注册库(CENTRAL)在内的三个电子数据库。采用双变量随机效应模型。主要结果是比较CADx与经验丰富的内镜医师之间的敏感性和特异性;次要结果是比较CADx与经验不足的内镜医师之间的敏感性和特异性。
纳入了21项涉及5477个息肉的研究。CADx和经验丰富的内镜医师的合并敏感性分别为0.87(95%置信区间[CI]0.82 - 0.91)和0.88(95%CI 0.83 - 0.91)(P = 0.93)。CADx和经验丰富的内镜医师的合并特异性分别为0.85(95%CI 0.78 - 0.90)和0.87(95%CI 0.82 - 0.92)(P = 0.53)。在9项比较CADx与经验不足的内镜医师的研究中,CADx的合并敏感性为0.88(95%CI 0.82 - 0.92),经验不足的内镜医师为0.85(95%CI 0.78 - 0.90)(P = 0.46)。CADx的合并特异性为0.84(95%CI 0.78 - 0.88),经验不足的内镜医师为0.77(95%CI 0.70 - 0.83)(P = 0.16)。
与内镜医师相比,无论其经验水平如何,计算机辅助诊断在结直肠息肉的光学诊断中均未显示出更高的诊断准确性。