应用粒子图像测速技术对主动脉夹层模型的个体化血液动力学进行实验评估。

Experimental evaluation of the patient-specific haemodynamics of an aortic dissection model using particle image velocimetry.

机构信息

Department of Mechanical Engineering, University College London, London, UK.

Department of Mechanical Engineering, University College London, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.

出版信息

J Biomech. 2022 Mar;134:110963. doi: 10.1016/j.jbiomech.2022.110963. Epub 2022 Jan 30.

Abstract

Aortic Dissection (AD) is a complex pathology that affects the aorta. Diagnosis, management and treatment remain a challenge as it is a highly patient-specific pathology and there is still a limited understanding of the fluid-mechanics phenomena underlying clinical outcomes. Although in vitro models can allow the accurate study of AD flow fields in physical phantoms, they are currently scarce and almost exclusively rely on over simplifying assumptions. In this work, we present the first experimental study of a patient-specific case of AD. An anatomically correct phantom was produced and combined with a state-of-the-art in vitro platform, informed by clinical data, employed to accurately reproduce personalised conditions. The complex AD haemodynamics reproduced by the platform was characterised by flow rate and pressure acquisitions as well as Particle Image Velocimetry (PIV) derived velocity fields. Clinically relevant haemodynamic indices, that can be correlated with AD prognosis - such as velocity, shear rate, turbulent kinetic energy distributions - were extracted in two regions of interest in the aortic domain. The acquired data highlighted the complex nature of the flow (e.g. recirculation regions, low shear rate in the false lumen) and was in very good agreement with the available clinical data and the CFD results of a study conducted alongside, demonstrating the accuracy of the findings. These results demonstrate that the described platform constitutes a powerful, unique tool to reproduce in vitro personalised haemodynamic conditions, which can be used to support the evaluation of surgical procedures, medical devices testing and to validate state-of-the-art numerical models.

摘要

主动脉夹层(AD)是一种影响主动脉的复杂病理。由于它是一种高度个体化的病理,并且对其背后的流体力学术现象的理解仍然有限,因此诊断、管理和治疗仍然是一个挑战。尽管体外模型可以允许在物理幻象中准确研究 AD 流场,但它们目前仍然稀缺,几乎完全依赖于过度简化的假设。在这项工作中,我们首次对 AD 的特定病例进行了实验研究。制作了一个解剖学正确的幻象,并结合了最先进的体外平台,该平台由临床数据提供信息,用于准确复制个性化条件。该平台再现的复杂 AD 血液动力学通过流量和压力采集以及源自粒子图像测速(PIV)的速度场进行了描述。提取了主动脉域中两个感兴趣区域中的与 AD 预后相关的临床相关血液动力学指标(例如速度、剪切率、湍流动能分布)。所获得的数据突出了流的复杂性(例如,再循环区域、假腔中的低剪切率),并且与可用的临床数据和同时进行的 CFD 结果非常吻合,证明了研究结果的准确性。这些结果表明,所描述的平台构成了一种强大、独特的工具,可以在体外再现个性化血液动力学条件,可用于支持手术程序的评估、医疗设备测试以及验证最先进的数值模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7265/9617468/371df8625f5a/gr1.jpg

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