Department of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umeå University, Umeå, Sweden.
Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.
J Cereb Blood Flow Metab. 2024 Aug;44(8):1343-1351. doi: 10.1177/0271678X241230741. Epub 2024 Feb 5.
White matter hyperintensities (WMH), perivascular spaces (PVS) and lacunes are common MRI features of small vessel disease (SVD). However, no shared underlying pathological mechanism has been identified. We investigated whether SVD burden, in terms of WMH, PVS and lacune status, was related to changes in the cerebral arterial wall by applying global cerebral pulse wave velocity (gcPWV) measurements, a newly described marker of cerebral vascular stiffness. In a population-based cohort of 190 individuals, 66-85 years old, SVD features were estimated from T1-weighted and FLAIR images while gcPWV was estimated from 4D flow MRI data. Additionally, the gcPWV's stability to variations in field-of-view was analyzed. The gcPWV was 10.82 (3.94) m/s and displayed a significant correlation to WMH and white matter PVS volume (r = 0.29, p < 0.001; r = 0.21, p = 0.004 respectively from nonparametric tests) that persisted after adjusting for age, blood pressure variables, body mass index, ApoB/A1 ratio, smoking as well as cerebral pulsatility index, a previously suggested early marker of SVD. The gcPWV displayed satisfactory stability to field-of-view variations. Our results suggest that SVD is accompanied by changes in the cerebral arterial wall that can be captured by considering the velocity of the pulse wave transmission through the cerebral arterial network.
脑白质高信号(WMH)、血管周围间隙(PVS)和腔隙是小血管疾病(SVD)的常见 MRI 特征。然而,尚未确定共同的潜在病理机制。我们通过应用全脑脉搏波速度(gcPWV)测量来研究 SVD 负担(WMH、PVS 和腔隙状态)是否与脑动脉壁的变化有关,gcPWV 是一种新描述的脑血管僵硬标志物。在一个由 190 名 66-85 岁的人群组成的基于人群的队列中,从 T1 加权和 FLAIR 图像中评估 SVD 特征,而从 4D 流动 MRI 数据中评估 gcPWV。此外,还分析了 gcPWV 对视野变化的稳定性。gcPWV 为 10.82(3.94)m/s,与 WMH 和白质 PVS 体积呈显著相关性(非参数检验 r=0.29,p<0.001;r=0.21,p=0.004),在调整年龄、血压变量、体重指数、ApoB/A1 比值、吸烟以及先前建议的 SVD 早期标志物——脑搏动指数后仍存在相关性。gcPWV 对视野变化具有良好的稳定性。我们的研究结果表明,SVD 伴有脑动脉壁的变化,可以通过考虑脉搏波通过脑动脉网络的传输速度来捕捉这些变化。