Cerebral arterial stiffness is linked to white matter hyperintensities and perivascular spaces in older adults - A 4D flow MRI study.

IF 4.9 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Journal of Cerebral Blood Flow and Metabolism Pub Date : 2024-08-01 Epub Date: 2024-02-05 DOI:10.1177/0271678X241230741
Cecilia Björnfot, Anders Eklund, Jenny Larsson, William Hansson, Johan Birnefeld, Anders Garpebring, Sara Qvarlander, Lars-Owe D Koskinen, Jan Malm, Anders Wåhlin
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Abstract

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.

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脑动脉僵化与老年人白质高密度和血管周围间隙有关--4D 流磁共振成像研究。
白质高密度(WMH)、血管周围间隙(PVS)和裂隙是小血管病(SVD)常见的磁共振成像特征。然而,目前尚未发现共同的潜在病理机制。我们通过测量全局脑脉搏波速度(gcPWV)(一种新描述的脑血管僵硬度标记),研究了小血管病变的负荷(WMH、PVS和裂隙状态)是否与脑动脉壁的变化有关。在一个由 190 名 66-85 岁的人群组成的队列中,SVD 特征是通过 T1 加权和 FLAIR 图像估算的,而 gcPWV 则是通过四维血流 MRI 数据估算的。此外,还分析了 gcPWV 对视场变化的稳定性。gcPWV 为 10.82 (3.94) m/s,与 WMH 和白质 PVS 体积有显著相关性(r = 0.29,p<0.05)。
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来源期刊
Journal of Cerebral Blood Flow and Metabolism
Journal of Cerebral Blood Flow and Metabolism 医学-内分泌学与代谢
CiteScore
12.00
自引率
4.80%
发文量
300
审稿时长
3 months
期刊介绍: JCBFM is the official journal of the International Society for Cerebral Blood Flow & Metabolism, which is committed to publishing high quality, independently peer-reviewed research and review material. JCBFM stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists.
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