Transmission line model as a digital twin for abdominal aortic aneurysm patients

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2024-10-25 DOI:10.1038/s41746-024-01303-5

Donghyeon Kim, Divyesh Narayanan, Shih-Hsien Sung, Hao-Min Cheng, Chen-Huan Chen, Chang-Sei Kim, Ramakrishna Mukkamala, Jin-Oh Hahn

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Abstract

We investigated the potential of the transmission line model as a digital twin of aneurysmal aorta by comparatively analyzing how a uniform lossless tube-load model were fitted to the carotid and femoral artery tonometry waveforms pertaining to (i) 79 abdominal aortic aneurysm (AAA) patients vs their matched controls (CON) and (ii) 35 AAA patients before vs after endovascular aneurysm repair (EVAR). The uniform lossless tube-load model fitted the tonometry waveforms pertaining to AAA as well as CON and EVAR. In addition, the parameters in the tube-load model exhibited physiologically explainable changes: when normalized, both pulse transit time and reflection coefficient increased with AAA and decreased after EVAR, which can be explained by the increase in arterial compliance and the decrease in arterial inertance due to the aortic expansion associated with AAA. In sum, the tube-load model may have the potential as a digital twin to enable personalized AAA monitoring.

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作为腹主动脉瘤患者数字双胞胎的传输线模型

我们研究了传输线模型作为动脉瘤主动脉数字孪生模型的潜力，比较分析了统一无损管负载模型如何拟合颈动脉和股动脉测压波形，这些波形分别涉及：(i) 79 名腹主动脉瘤（AAA）患者与匹配对照组（CON）；(ii) 35 名 AAA 患者血管内动脉瘤修补术（EVAR）前后。均匀无损导管负荷模型与 AAA、CON 和 EVAR 的测压波形相匹配。此外，管载荷模型中的参数显示了可解释的生理变化：当归一化时，脉搏通过时间和反射系数在 AAA 时增加，而在 EVAR 后减少，这可解释为与 AAA 相关的主动脉扩张导致动脉顺应性增加和动脉惰性减少。总之，管道负荷模型有可能成为实现个性化 AAA 监测的数字孪生模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.