外周动脉疾病患者特异性血流描述符和归一化壁指数:初步研究

IF 1.3 Q4 ENGINEERING, BIOMEDICAL
Jaykrishna Singh, Gerd Brunner, Joel D Morrisett, Christie M Ballantyne, Alan B Lumsden, Dipan J Shah, Paolo Decuzzi
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引用次数: 0

摘要

背景和目的:基于核磁共振成像的血液动力学已被用于研究冠状动脉、颈动脉和人体主动脉的时均壁剪切应力(TAWSS)、振荡剪切指数(OSI)与动脉粥样硬化病变之间的关系。然而,人们对 TAWSS 和 OSI 在下肢动脉中的作用知之甚少。这项工作旨在研究外周动脉疾病(PAD)患者股浅动脉(SFA)血液动力学评估的可行性,我们假设 TAWSS 和 OSI 分别与以归一化管壁指数(NWI)表示的动脉粥样硬化负荷之间存在关联:从患者特定的磁共振成像数据(包括基线、12 个月和 24 个月)中提取了六例 SFA 的三维血管几何图形和相关的入口/出口血流条件。进行了血流模拟,以计算血流描述符(包括 TAWSS 和 OSI)和 NWI:结果:NWI 与 TAWSS 呈正相关(相关系数:r = 0.592;p < 0.05)。NWI 与 OSI 呈负相关(相关系数:r = -0.310,p < 0.01)。从基线到 24 个月期间,空间平均 TAWSS 和平均 NWI 显著增加,而 OSI 在 2 年内有所下降:在这项样本量有限的试点研究中,TAWSS与衡量斑块负担的NWI呈正相关,而OSI则呈反向关系。然而,我们的研究结果还需要在更大规模的前瞻性研究中得到验证。基于磁共振成像的股浅动脉血液动力学研究是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study.

Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study.

Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study.

Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study.

Background and aims: MRI-based hemodynamics have been applied to study the relationship between time-averaged wall shear stresses (TAWSS), oscillatory shear index (OSI) and atherosclerotic lesions in the coronary arteries, carotid artery, and human aorta. However, the role of TAWSS and OSI are poorly understood in lower extremity arteries. The aim of this work was to investigate the feasibility of hemodynamic assessment of the superficial femoral artery (SFA) in patients with peripheral artery disease (PAD) and we hypothesized that there is an association between TAWSS and OSI, respectively, and atherosclerotic burden expressed as the normalized wall index (NWI).

Methods: Six cases of 3D vascular geometries of the SFA and related inlet/outlet flow conditions were extracted from patient-specific MRI data including baseline, 12 and 24 months. Blood flow simulations were performed to compute flow descriptors, including TAWSS and OSI, and NWI.

Results: NWI was correlated positively with TAWSS (correlation coefficient: r = 0.592; p < 0.05). NWI was correlated negatively with OSI (correlation coefficient: r = -0.310, p < 0.01). Spatially averaged TAWSS and average NWI increased significantly between baseline and 24-months, whereas OSI decreased over 2-years.

Conclusions: In this pilot study with a limited sample size, TAWSS was positively associated with NWI, a measure of plaque burden, whereas OSI showed an inverse relationship. However, our findings need to be verified in a larger prospective study. MRI-based study of hemodynamics is feasible in the superficial femoral artery.

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来源期刊
CiteScore
2.80
自引率
6.20%
发文量
102
期刊介绍: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.
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