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基于 MRI 的模型分析椎动脉基底动脉系统的血液动力学特征。

Hemodynamic characteristics of the vertebrobasilar system analyzed using MRI-based models.

机构信息

Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA.

出版信息

PLoS One. 2012;7(12):e51346. doi: 10.1371/journal.pone.0051346. Epub 2012 Dec 10.

Abstract

The vertebrobasilar system (VBS) is unique in human anatomy in that two arteries merge into a single vessel, and it is especially important because it supplies the posterior circulation of the brain. Atherosclerosis develops in this region, and atherosclerotic plaques in the vertebrobasilar confluence can progress with catastrophic consequences, including artery occlusion. Quantitative assessments of the flow characteristics in the VBS could elucidate the factors that influence flow patterns in this confluence, and deviations from normal patterns might then be used to predict locations to monitor for potential pathological changes, to detect early signs of disease, and to evaluate treatment options and efficacy. In this study, high-field MRI was used in conjunction with computational fluid dynamics (CFD) modeling to investigate the hemodynamics of subject-specific confluence models (n = 5) and to identify different geometrical classes of vertebrobasilar systems (n = 12) of healthy adult subjects. The curvature of the vessels and their mutual orientation significantly affected flow parameters in the VBS. The basilar artery geometry strongly influenced both skewing of the velocity profiles and the wall shear stress distributions in the VBS. All five subjects modeled possessed varying degrees of vertebral asymmetry, and helical flow was observed in four cases, suggesting that factors other than vertebral asymmetry influence mixing of the vertebral artery flow contributions. These preliminary studies verify that quantitative, MR imaging techniques in conjunction with subject-specific CFD models of healthy adult subjects may be used to characterize VBS hemodynamics and to predict flow features that have been related to the initiation and development of atherosclerosis in large arteries. This work represents an important first step towards applying this approach to study disease initiation and progression in the VBS.

摘要

椎基底动脉系统(VBS)在人体解剖学中是独一无二的,因为两条动脉融合成一条血管,它非常重要,因为它供应大脑的后循环。该区域会发生动脉粥样硬化,椎基底动脉汇合处的动脉粥样硬化斑块可能会进展,并导致灾难性后果,包括动脉闭塞。对 VBS 中的血流特征进行定量评估,可以阐明影响该汇合处血流模式的因素,然后可以将偏离正常模式的情况用于预测需要监测的潜在病理变化的位置,以检测早期疾病迹象,并评估治疗方案和疗效。在这项研究中,高磁场 MRI 与计算流体动力学(CFD)建模相结合,用于研究特定于个体的汇合模型的血液动力学(n=5),并识别健康成年个体的不同椎基底系统(VBS)的几何类(n=12)。血管的曲率及其相互取向对 VBS 中的血流参数有显著影响。基底动脉的几何形状强烈影响 VBS 中的速度分布和壁面切应力分布的偏斜。所有建模的 5 个受试者都存在不同程度的椎动脉不对称性,4 个病例观察到螺旋流,这表明除了椎动脉不对称性之外,还有其他因素影响椎动脉血流的混合。这些初步研究证实,定量 MRI 技术结合健康成年个体的特定于个体的 CFD 模型可用于表征 VBS 血液动力学,并预测与大动脉粥样硬化的发生和发展相关的血流特征。这项工作是朝着应用该方法研究 VBS 中疾病的发生和进展迈出的重要第一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfca/3519605/ad1e144d4eb9/pone.0051346.g001.jpg

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