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经导管主动脉瓣血流的时间分辨三维粒子跟踪的体外研究。

An In-Vitro Study of the Flow Past a Transcatheter Aortic Valve Using Time-Resolved 3D Particle Tracking.

机构信息

Department of Biomedical Engineering, Georgia Institute of Technology, 387 Technology Circle | Office 245, Atlanta, GA, 30313-2412, USA.

出版信息

Ann Biomed Eng. 2023 Jul;51(7):1449-1460. doi: 10.1007/s10439-023-03147-8. Epub 2023 Jan 27.

Abstract

The performance of a transcatheter aortic valve (TAV) can be evaluated by analyzing the flow field downstream of the valve. However, three dimensional flow and pressure fields, and particle residence time, a quantity closely related to thrombosis risk, are challenging to obtain. This experimental study aims to provide a comprehensive 3D measurement of the flow field downstream of an Edwards SAPIEN 3 using time-resolved 3D particle tracking velocimetry (3D PTV) with Shake-the-Box (STB) algorithm. The valve was deployed in an idealized aorta model and tested in a left heart simulator under physiological conditions. Detailed 3D vortical structures, pressure distributions, and particle residence time were obtained by analyzing the 3D particle tracks. Results have shown large-scale retrograde flow entering the sinuses of the TAV at systole, reducing flow stasis there. However, the 3D particle tracks reveal that the retrograde flow has a high residence time and might have already experienced high shear stress near the main jet. Thus by only focusing on the flow in the sinus region is not sufficient to evaluate the leaflet thrombosis risk, and the flow downstream of the valve should be taken into consideration. The unique perspectives offered by 3D PTV are important when evaluating the performance of the TAVs.

摘要

经导管主动脉瓣(TAV)的性能可以通过分析瓣膜下游的流场来评估。然而,三维流场和压力场以及与血栓形成风险密切相关的粒子停留时间很难获得。本实验研究旨在使用带有 Shake-the-Box(STB)算法的时间分辨 3D 粒子跟踪速度测量法(3D PTV)对 Edwards SAPIEN 3 进行全面的 3D 下游流场测量。在生理条件下,将瓣膜部署在理想化的主动脉模型中,并在左心模拟器中进行测试。通过分析 3D 粒子轨迹,获得了详细的三维涡旋结构、压力分布和粒子停留时间。结果表明,在收缩期有大量逆行血流进入 TAV 的窦,减少了那里的血流停滞。然而,3D 粒子轨迹显示,逆行流的停留时间长,并且可能已经在主射流附近经历了高剪切应力。因此,仅关注窦区的流动不足以评估瓣叶血栓形成风险,还应考虑瓣膜下游的流动。在评估 TAV 的性能时,3D PTV 提供的独特视角非常重要。

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