Hsu Wen-Feng, Chang Wei-Yuan, Kuo Chen-Ya, Chang Li-Chun, Lin Hsuan-Ho, Wu Ming-Shiang, Chiu Han-Mo
Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
Department of Internal Medicine, Fu Jen Catholic University Hospital, New Taipei City, Taiwan.
Gastrointest Endosc. 2025 Feb;101(2):452-455. doi: 10.1016/j.gie.2024.09.019. Epub 2024 Sep 18.
Cecal intubation in colonoscopy relies on self-reporting. We developed an artificial intelligence-based cecum recognition system (AI-CRS) for post-hoc verification of cecal intubation and explored its impact on adenoma metrics.
Quality metrics, including cecal intubation rate (CIR), adenoma detection rate (ADR), and other ADR-related metrics, were compared both before (2015-2018) and after (2019-2022) the implementation of the AI-CRS.
Although the CIR did not change significantly after the implementation of the AI-CRS, the ADR and advanced ADR significantly increased. Although the ADR significantly increased in all segments, the most significant increase in advanced ADR was observed in the proximal colon. Implementation of the AI-CRS was associated with a higher likelihood of detecting adenoma (adjusted odds ratio, 1.35; 95% confidence interval, 1.26-1.45) and advanced adenoma (adjusted odds ratio, 1.23; 95% confidence interval, 1.07-1.41), respectively.
Implementation of a post-hoc verification of cecal intubation using an AI-CRS significantly improved various adenoma metrics in screening colonoscopy.
结肠镜检查中的盲肠插管依赖于自我报告。我们开发了一种基于人工智能的盲肠识别系统（AI-CRS），用于对盲肠插管进行事后验证，并探讨其对腺瘤指标的影响。
比较了在实施AI-CRS之前（2015 - 2018年）和之后（2019 - 2022年）的质量指标，包括盲肠插管率（CIR）、腺瘤检出率（ADR）以及其他与ADR相关的指标。
虽然实施AI-CRS后CIR没有显著变化，但ADR和高级别ADR显著增加。尽管所有节段的ADR均显著增加，但近端结肠的高级别ADR增加最为显著。实施AI-CRS分别与检测到腺瘤（调整优势比，1.35；95%置信区间，1.26 - 1.45）和高级别腺瘤（调整优势比，1.23；95%置信区间，1.07 - 1.41）的可能性更高相关。
使用AI-CRS对盲肠插管进行事后验证显著改善了筛查结肠镜检查中的各种腺瘤指标。
