结肠镜中的人工智能:对腺瘤检测速率和性能特征的评估
Carolina Roos Mariano DA Rocha1, Sophia Andreola Borba2, Thales Tomaz Richinho1
1Hospital Moinhos de Vento, Unidade de Endoscopia, Porto Alegre, RS, Brasil.
Arquivos de gastroenterologia
|December 11, 2025
概括
这项研究发现,人工智能辅助结肠镜与常规结肠镜之间的腺瘤检测率 (ADR) 没有显著差异. 这些发现表明,人工智能可能在已经高ADR的环境中为结直肠癌查提供有限的附加益处.
科学领域:
- 胃肠病学 胃肠病学
- 医疗技术 医疗技术 医学技术
- 在瘤学瘤学.
背景情况:
- 结肠镜对于检测结肠直肠癌前体来说至关重要.
- 人工智能 (AI) 在改善结肠镜检查期间的病变检测方面表现有前途.
研究的目的:
- 为了比较使用AI软件和不使用AI软件进行的结肠镜检测腺瘤检测率 (ADR).
主要方法:
- 一项观察性研究包括305名在巴西一家三级医院接受查结肠镜检查的患者.
- 患者被随机分配到常规结肠镜 (CC) 或人工智能辅助结肠镜 (Cadeye系统 - CADe) 中.
- 收集了患者,手术和息肉特征的数据.
主要成果:
- 在305次结肠镜检查中,共检测到470个多体 (112 CADe,193 CC).
- 总体ADR为53.8%,整体聚检测率为74.8%.
- 在CC (57%) 和CADe (48.2%) 之间没有观察到ADR的统计学上显著差异,P=0.138.
结论:
- 虽然一些研究表明人工智能增加了ADR,但这项研究发现人工智能和传统结肠镜之间没有差异.
- 在结肠镜检查中,人工智能的附加益处在具有高基线ADR的环境中可能是有限的.
- 可能需要进一步的研究来澄清AI在结直肠癌查中的作用.
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