基于人工智能的实时光学诊断在结肠镜检查期间的新发性息肉
Ishita Barua1,2, Paulina Wieszczy1,2,3, Shin-Ei Kudo4
1Clinical Effectiveness Research Group, University of Oslo, Oslo.
NEJM evidence
|February 6, 2024
概括
在结肠镜检查期间,人工智能计算机辅助诊断 (CADx) 并没有显著提高检测瘤息肉的灵敏度. 然而,CADx大大提高了结肠镜医生对多体诊断的信心.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 计算机辅助诊断 (CADx) 系统旨在帮助结肠镜科医生实时区分瘤与非瘤聚.
- 这项研究评估了一种新的CADx系统,在结肠镜检查期间使用超放大息肉可视化.
研究的目的:
- 评估实时CADx分析结肠镜图像是否可以提高小息肉 (≤5毫米) 的诊断准确度.
- 将CADx辅助诊断的灵敏度和特异性与标准视觉检查进行比较,通过组织病理学验证.
主要方法:
- 一项多中心临床研究,涉及挪威,英国和日本的518名患者.
- 一个新的CADx系统和892个小息肉的光学诊断标准视觉检查之间的诊断性能比较.
- 主要终点:对瘤多的敏感性;次要终点:特异性和结肠镜师的信心.
主要成果:
- 对瘤聚质的敏感性在CADx时为90.4%,在标准视觉检查时为88.4% (P=0.33).
- 具体性为CADx的85.9%,而标准视觉检查的83.1%.
- 与标准视觉检查 (74.2%) 相比,结肠镜检查对诊断的信心在CADx (92.6%) 显著增加.
结论:
- 实时CADx在结肠镜检查期间并没有显著提高瘤多的诊断灵敏度.
- CADx显著提高了结肠镜医生对聚的光学诊断的信心.
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