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基于人工智能的算法的验证,用于在低剂量胸部CTCT中测量胸前大动脉直径

I Iris Hamelink¹, E Erik Jan de Heide¹, G J Gert Jan Pelgrim¹

¹Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ Groningen, The Netherlands.

European journal of radiology

|September 2, 2023

概括

人工智能 (AI) 软件在低剂量CT扫描上准确地测量胸前大动脉直径. 这个AI就是AI.

科学领域:

放射学和医学成像学医学成像学
医疗保健中的人工智能
心血管成像 - 心血管成像

背景情况:

胸前大动脉直径的评估对于诊断大动脉疾病至关重要.
手动测量可能会耗时,并且会受到阅读器间的变化.
自动化的人工智能工具为高效和一致的测量提供了潜力.

研究的目的:

评估人工智能软件的性能,以自动评估胸前大动脉直径.
在多样化的患者队列中,将AI测量与手动测量进行比较.
评估人工智能测量对人类读者的准确性和可靠性.

主要方法:

分析了来自Imaging in Lifelines (ImaLife) 研究的低剂量,无对比的胸部CT扫描.
基于人工智能的大动脉直径与在八个标准化位置的手动测量进行了比较.
评估了读者内部和读者间的变化,并使用布兰德-阿尔特曼分析和混合模型与AI系统差异进行了比较.

主要成果:

人工智能软件在胸前动脉直径测量与手动评估 (32.7毫米与32.7毫米) 相比没有显著差异.
人工智能系统差异 (1.3±1.6毫米) 与读者之间的差异性 (1.4±1.4毫米) 相当.
人工智能仅在近端大动脉门显示出更高的差异,但整体表现与各个子组的人类读者相似.

结论:

人工智能软件提供了准确的胸前大动脉直径测量.
人工智能性能与阅读器间的可变性相当,这表明它在临床使用中的可靠性.
这种人工智能工具可以帮助在各种患者群体中高效准确地评估胸前大动脉直径.

关键词:

人工智能的人工智能是人工智能.胸部CT CT 的情况.胸前大动脉动脉瘤胸前大动脉动脉瘤

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