电子ASPECTS软件对医生的表现的影响与共识基础真理相比:一个多读者,多个案例研究
Hassan Kobeissi1, David F Kallmes1, John Benson1
1Department of Radiology, Mayo Clinic, Rochester, MN, United States.
Frontiers in neurology
|September 25, 2023
概括
阿尔伯塔中风计划早期CT评分 (ASPECTS) 的人工智能软件提高了医生评估急性缺血性中风 (AIS) 脑图像的准确性. 电子ASPECTS工具提高了神经病学家和神经放射学家的表现,从而更好地评估中风.
科学领域:
- 神经成像是一种神经成像.
- 人工智能在医学中的应用
- 脑中风成像分析分析
背景情况:
- 阿尔伯塔中风计划早期CT评分 (ASPECTS) 对于量化急性缺血性中风 (AIS) 中的大脑损伤和指导治疗至关重要.
- e-ASPECTS软件使用人工智能自动生成非对比CT (NCCT) 扫描的ASPECTS分数,用于中脑动脉 (MCA) 区域参与的AIS患者.
- 这项研究评估了e-ASPECTS对美国医生的表现的影响,与共识基础真理相比.
研究的目的:
- 评估e-ASPECTS软件在提高美国医生ASPECTS评分准确性的有效性.
- 通过e-ASPECTS人工智能工具的帮助和没有帮助来比较医生的表现.
主要方法:
- 采用了多个读者,多个案例研究设计.
- 十位美国董事会认证的神经病学家和神经放射学家两次得分54次NCCT脑部扫描:一次与一次没有e-ASPECTS协助,随机顺序.
- 使用各种统计措施评估了与专家共识参考标准的一致性,包括科恩的卡帕和加权的卡帕.
主要成果:
- 在支持e-ASPECTS的情况下,阅读器性能曲线下的面积 (AUC) 从0.81显著提高到0.83 (p=0.028).
- 与参考标准的一致性有所改善,科恩的卡帕从0.60增加到0.65,基于案例的加权卡帕从0.70提高到0.81.
- 这些改进表明,在使用e-ASPECTS软件时,ASPECTS评分的准确性提高了.
结论:
- 电子ASPECTS软件显著提高了急性缺血性中风的ASPECTS评分的准确性.
- 像e-ASPECTS这样的人工智能支持的决策支持工具可以提高甚至专家神经病学家和神经放射学家在解释大脑CT扫描中的表现.
- 这些发现支持e-ASPECTS在临床实践中的实用性,用于更精确的中风评估.
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