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用Hologic Genius数字诊断系统对高度状内皮层病变的敏感度分析帕普诊断和观察者间的可变性

Lakshmi Harinath¹, Esther Elishaev¹, Yuhong Ye²

¹Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Cancer cytopathology

|November 5, 2024

概括

像Hologic Genius数字诊断系统 (GDDS) 这样的人工智能 (AI) 系统在改善高等级状内皮损伤 (HSIL) 帕普检测诊断方面表现有前途. 这种人工智能辅助显示出在ThinPrep Pap测试中检测HSIL的良好的灵敏度和病理学家间的一致性.

科学领域:

细胞病理学细胞病理学
数字病理学数字病理学
医疗保健中的人工智能

背景情况:

人工智能 (AI) 越来越多地集成到细胞病理学工作流程中.
霍利奇天才数字诊断系统 (GDDS) 是一个基于人工智能的工具,旨在帮助诊断解释.
评估AI对特定诊断类别的影响至关重要,例如高度状内皮病变 (HSIL).

研究的目的:

评估Hologic Genius数字诊断系统 (GDDS) 的诊断灵敏度,以测试高等级状内皮损伤 (HSIL) 和帕帕尼科拉 (Pap) 试验.
在使用人工智能协助HSIL诊断时,确定细胞病理学家之间的协议.
评估人工智能系统改变细胞病理学实践的潜力.

主要方法:

一项验证研究使用了890个由GDDS独立分析的ThinPrep Pap测试.
一组183个经组织学确认的HSIL病例被选择进行详细分析.
对三位细胞病理学家的HSIL检测灵敏度是用GDDS辅助解释病例的计算.

主要成果:

人工智能系统有助于对大多数HSIL病例进行分类,个别病理学家将其错误分类到较低级别的类别 (LSIL,ASC-US).
在所有病理学家中,包括ASC-US及以上异常时,检测宫内皮质瘤2及以上 (CIN2+) 的灵敏度为100%.
在考虑ASC-H及以上异常时,病理学家的敏感度在84.7%至92.9%之间,观察者之间有很强的一致性 (肯德尔W=0.722).

结论:

像GDDS这样的新一代人工智能辅助系统有可能显著影响和改变细胞病理学.
在 ThinPrep Pap 测试中,GDDS 在协助 HSIL 的解释方面表现出有效性.
该研究强调了在使用人工智能协助检测HSIL时,良好的诊断灵敏度和强大的病理学家间协议.

关键词:

霍洛奇奇天才系统帕普 (Papanicolaou) 检测测试的结果是什么?人工智能的人工智能是人工智能.数字病理学数字病理学高度状皮内皮病变的发生.

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