人工智能辅助结肠镜检测腺瘤和息肉:一个更新的系统性审查和元分析
Mohamed G Shiha1, Priya Oka1, Suneil A Raju1
1Academic Unit of Gastroenterology, Sheffield Teaching Hospitals, and Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.
iGIE : innovation, investigation and insights
|February 6, 2026
概括
计算机辅助检测 (CADe) 在结肠镜检查期间显著提高了腺瘤检测率,特别是在较小的息肉中. 这种人工智能工具增强了多体的识别,导致更好的结直肠癌查结果.
科学领域:
- 胃肠病学 胃肠病学
- 医疗人工智能 医疗人工智能
- 内镜技术的使用方法
背景情况:
- 人工智能 (AI) 对结肠镜应用的兴趣日益增长.
- 需要评估计算机辅助检测 (CADe) 系统对结直肠腺瘤和多瘤的有效性.
研究的目的:
- 系统地审查和元分析随机对照试验 (RCT).
- 与标准结肠镜检查 (SC) 相比,评估CADe在检测结肠直肠腺瘤和息肉方面的有效性.
主要方法:
- 系统地搜索 MEDLINE,Embase 和 Cochrane 中央数据库,直到 2022 年 12 月.
- 包括12个RCT,包括11,340名患者,比较结肠镜与CADe与SC.
- 随机效应元分析以计算聚合相对风险 (RRs) 和平均差异与95%置信区间 (CI).
主要成果:
- 在CADe组 (41.4%) 与SC组 (33%) 中,腺瘤检测率 (ADR) 显著更高 (RR,1.26;95% CI,1.18-1.35).
- 在各种腺瘤大小,位置和形态学方面,CADe改善了检测.
- 在检测晚期腺瘤或状状病变方面没有显著差异;随着CADe的出现,停药时间略有增加.
结论:
- 计算机辅助检测 (CADe) 显著增加了每次结肠镜检测腺瘤检测率.
- CADe的主要好处是增强了微小腺瘤的检测.
- 人工智能辅助结肠镜显示了改善多监测的前景.
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