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在计算机断层扫描中对完全自动化的内最大大动脉动脉瘤直径测量进行外部验证,使用人工智能进行血管扫描 (PRAEVAorta 2)

Johannes Hatzl¹, Christian Uhl², Alexandru Barb¹

¹Department of Vascular and Endovascular Surgery, University Hospital Heidelberg, Heidelberg, Germany.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists

|November 13, 2024

概括

在大多数情况下,人工智能软件准确地测量了腹腔大动脉瘤 (AAA) 的直径,显示出临床使用的潜力. 由于一些细分错误,建议进行批判性审查.

科学领域:

医疗成像医学成像
医疗保健中的人工智能
血管外科血管外科

背景情况:

腹腔大动脉瘤 (AAA) 需要精确的直径测量来监测和治疗计划.
当前的测量方法可能会耗时,并且受观察者之间的变化影响.
人工智能 (AI) 的进步为自动化和标准化测量提供了潜力.

研究的目的:

使用人工智能软件 (PRAEVAorta 2) 调查全自动化最大大动脉直径测量的准确性.
为了验证PRAEVAorta 2的性能与多中心环境中的核心实验室相比.

主要方法:

一个多中心的,回顾性验证研究,使用从ZEPHYR注册表前性收集的数据.
将PRAEVAorta 2的自动测量结果与训练有素的核心实验室的测量结果进行比较.
包括2016-2019年期间接受EVAR的871名CT血管学扫描的患者.

主要成果:

自动化和核心实验室测量之间的良好相关性 (r=0.97) 和类内相关性 (ICC=0.972) .
95.4%的测量在临床上可接受的5毫米绝对差异范围内.
10%的扫描显示了细分错误,主要是检测船舶段或AAA外部边界,导致排除.

结论:

在大多数情况下,完全自动化的AI软件 (PRAEVAorta 2) 可以准确地测量最大AAA直径.
人工智能软件在AAA管理中显示出作为研究和临床实践的辅助工具的前景.
对人工智能生成的报告进行批判性审查对于识别和管理细分错误至关重要.

关键词:

埃瓦尔·埃瓦尔 (Evar Evar) 是一个人.腹部大动脉动脉瘤腹部大动脉动脉瘤人工智能的人工智能是人工智能.这是自动化的自动化.这是内血管内血管的内血管.

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