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大型脑动脉树中近壁血流动力学危险因素的量化

Quantification of near-wall hemodynamic risk factors in large-scale cerebral arterial trees.

作者信息

Ghaffari Mahsa, Alaraj Ali, Du Xinjian, Zhou Xiaohong Joe, Charbel Fady T, Linninger Andreas A

机构信息

Department of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.

Department of Neurosurgery, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA.

出版信息

Int J Numer Method Biomed Eng. 2018 Jul;34(7):e2987. doi: 10.1002/cnm.2987. Epub 2018 May 23.

Abstract

Detailed hemodynamic analysis of blood flow in pathological segments close to aneurysm and stenosis has provided physicians with invaluable information about the local flow patterns leading to vascular disease. However, these diseases have both local and global effects on the circulation of the blood within the cerebral tree. The aim of this paper is to demonstrate the importance of extending subject-specific hemodynamic simulations to the entire cerebral arterial tree with hundreds of bifurcations and vessels, as well as evaluate hemodynamic risk factors and waveform shape characteristics throughout the cerebral arterial trees. Angioarchitecture and in vivo blood flow measurement were acquired from healthy subjects and in cases with symptomatic intracranial aneurysm and stenosis. A global map of cerebral arterial blood flow distribution revealed regions of low to high hemodynamic risk that may significantly contribute to the development of intracranial aneurysms or atherosclerosis. Comparison of pre-intervention and post-intervention of pathological cases further shows large angular phase shift (~33.8°), and an augmentation of the peak-diastolic velocity. Hemodynamic indexes of waveform analysis revealed on average a 16.35% reduction in the pulsatility index after treatment from lesion site to downstream distal vessels. The lesion regions not only affect blood flow streamlines of the proximal sites but also generate pulse wave shift and disturbed flow in downstream vessels. This network effect necessitates the use of large-scale simulation to visualize both local and global effects of pathological lesions.

摘要

对靠近动脉瘤和狭窄部位的病理段血流进行详细的血流动力学分析,为医生提供了有关导致血管疾病的局部血流模式的宝贵信息。然而,这些疾病对脑循环树内的血液流动既有局部影响,也有全局影响。本文的目的是证明将特定个体的血流动力学模拟扩展到具有数百个分支和血管的整个脑动脉树的重要性,并评估整个脑动脉树中的血流动力学危险因素和波形形状特征。从健康受试者以及有症状的颅内动脉瘤和狭窄病例中获取血管结构和体内血流测量数据。脑动脉血流分布的全局图揭示了从低到高血流动力学风险的区域,这些区域可能对颅内动脉瘤或动脉粥样硬化的发展有显著影响。病理病例干预前后的比较进一步显示出较大的角相位偏移(约33.8°)以及舒张期峰值速度的增加。波形分析的血流动力学指标显示,从病变部位到下游远端血管,治疗后搏动指数平均降低了16.35%。病变区域不仅影响近端部位的血流流线,还会在下游血管中产生脉搏波偏移和紊乱血流。这种网络效应使得有必要使用大规模模拟来可视化病理病变的局部和全局影响。

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本文引用的文献

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Phys Fluids (1994). 2016 Feb;28(2):021304. doi: 10.1063/1.4941315. Epub 2016 Feb 8.
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Automatic recognition of subject-specific cerebrovascular trees.特定个体脑血管树的自动识别。
Magn Reson Med. 2017 Jan;77(1):398-410. doi: 10.1002/mrm.26087. Epub 2016 Jan 17.

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