4D flow MRI for intracranial hemodynamics assessment in Alzheimer's disease
4D flow MRI for intracranial hemodynamics assessment in Alzheimer's disease
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DOI：
10.1177/0271678x15617171
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发表时间：
2016-10-01
影响因子：
6.3
通讯作者：
Wieben, Oliver
中科院分区：
文献类型：
--
作者：
Rivera-Rivera, Leonardo A.;Turski, Patrick;Wieben, Oliver
脑血流、动脉搏动和血管舒缩在代谢废物运输出脑中起重要作用。血管运动受损导致β-淀粉样蛋白的血管周围/胶质淋巴清除的驱动力降低。可能评估这些转运机制的非侵入性脑血管特征是平均血流量（MBF）和搏动指数（PI）。在这项研究中，4D流动MRI被用来测量颅内血流特征，特别是MBF，PI，阻力指数（RI）和横截面积的阿尔茨海默病（AD），轻度认知障碍患者和年龄匹配和年轻的认知健康对照。314例受试者参加了本研究。使用体积、时间分辨相位对比（PC）MRI数据量化11个血管节段的血流动力学参数。Willis环的解剖变体也被编目。与年龄匹配的认知健康对照受试者相比，AD人群报告了MBF和横截面积的统计学显著性降低，以及PI和RI的增加。本研究中使用的4D流动MRI技术提供了颅内血管几何形状和流速的定量测量。可以从4D流动MRI数据中提取血管健康的脑血管特征，例如脉动指数。
Cerebral blood flow, arterial pulsation, and vasomotion play important roles in the transport of waste metabolites out of the brain. Impaired vasomotion results in reduced driving force for the perivascular/glymphatic clearance of beta-amyloid. Noninvasive cerebrovascular characteristic features that potentially assess these transport mechanisms are mean blood flow (MBF) and pulsatility index (PI). In this study, 4D flow MRI was used to measure intra-cranial flow features, particularly MBF, PI, resistive index (RI) and cross-sectional area in patients with Alzheimer's disease (AD), mild cognitive impairment and in age matched and younger cognitively healthy controls. Three-hundred fourteen subjects participated in this study. Volumetric, time-resolved phase contrast (PC) MRI data were used to quantify hemodynamic parameters from 11 vessel segments. Anatomical variants of the Circle of Willis were also cataloged. The AD population reported a statistically significant decrease in MBF and cross-sectional area, and also an increase in PI and RI compared to age matched cognitively healthy control subjects. The 4D flow MRI technique used in this study provides quantitative measurements of intracranial vessel geometry and the velocity of flow. Cerebrovascular characteristics features of vascular health such as pulsatility index can be extracted from the 4D flow MRI data.