带有或没有人工智能辅助结肠镜检测结肠直肠腺瘤的Endocuff:一个随机结肠镜试验
Thomas Ka-Luen Lui1,2, Carla Pui-Mei Lam2, Elvis Wai-Pan To2,3
1Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
The American journal of gastroenterology
|February 2, 2024
概括
与人工智能 (AI) 结合Endocuff,与单独的AI相比,在结肠镜检查期间显著提高腺瘤检测率. 这种增强的方法还促进了聚和状状病变的检测,改善了结肠癌查.
科学领域:
- 胃肠病学 胃肠病学
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 和Endocuff在结肠镜检查中提高了腺瘤检测率 (ADR).
- 将这些技术结合起来,可以进一步改善病变检测,并降低失误率.
研究的目的:
- 评估Endocuff和AI在检测结肠病变上的联合作用.
- 为了比较Endocuff与AI的疗效与单独的AI和标准结肠镜.
主要方法:
- 一个前性的,三臂随机结肠镜研究.
- 40岁以上的患者随机分配到Endocuff与AI,AI单独或标准高清结肠镜.
- 主要结局:ADR;次要结局:聚合物检测率 (PDR),状状病变检测率 (SDR).
主要成果:
- 与人工智能 (ADR 53.8%,PDR 74.0%) 相比,与人工智能 (AI) 单独相比,Endocuff与AI的ADR (58.7%),PDR (77.0%) 和SDR (6.4%的增加) 显著更高.
- 与标准的HD结肠镜检查 (ADR 46.3%) 相比,Endocuff-AI和AI组都表现出优异的ADR,PDR和SDR.
- 所有Endocuff-AI和AI与HD结肠镜之间的比较都具有统计学意义 (P < 0.01).
结论:
- 与AI结合的Endocuff显著提高了腺瘤,多和状状病变检测率.
- 结合Endocuff和AI,比单独的AI和用于检测结肠病变的标准结肠镜能提供更高的性能.
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