학술논문

Abstract P64: Longitudinal Brain Structural Changes After Stroke
Document Type
Article
Source
Stroke (Ovid); March 2021, Vol. 52 Issue: Supplement 1 pAP64-AP64, 1p
Subject
Language
ISSN
00392499; 15244628
Abstract
Background:Stroke causes focal and diffuse structural brain changes that may contribute to subsequent cognitive decline and dementia. We hypothesize that MRI structural measures can detect continued cerebral degeneration over the first year after stroke. We identify predictors for progression of brain atrophy, leukoaraiosis and diffusion tensor imaging (DTI) metrics.Methods:Patients with ischemic stroke were enrolled prospectively in an observational study that included serial brain MRI. Patients underwent MRI FLAIR and DTI at the time of acute stroke and were followed for at least 9 months with multiple MRIs between 30 days and 15 months post-stroke. We used FLAIR to measure brain atrophy as the percent brain parenchymal fraction (BPF) of the total intracranial volume (TICV) and white matter hyperintensity volume (WMHV) as a percentage of TICV. DTI was used to calculate Peak Skeletonized Mean Diffusivity (PSMD), a global measure of white matter integrity previously validated in cerebral small vessel disease. Longitudinal changes in BPF, WMHV or PSMD were measured from 30 days post-stroke onward using linear regression models that included age, stroke volume, baseline BPF and WMHV as predictors.Results:Twenty-six patients had a median of 4 follow-ups over 9-15 months. Median age was 74 years (range 51-84) and 38% were women. Mean stroke volume was 4.5cc (0 - 30cc). Mean BPF was 78% (72 - 86%) and mean baseline WMHV was 1.1% (0.1 - 3.9%). BPF was associated with age and declined by 0.7% per year (t(111) = 2.7, p = 0.007). Progression was associated with baseline BPF (t(111) = -3.4, p < 0.001). WMHV in the non-stroke hemisphere was associated with age and increased by 0.10% per year (t(87) = -5.8, p < 0.001). Accumulation was associated with age (t(87) = 5.8, p < 0.001). PSMD was associated with baseline WMHV and had a relative increase of 1.9% per year in the non-stroke hemisphere and 4.5% in the stroke hemisphere (t(174) = -2.1, p = 0.03). Progression was associated with age (t(174) = 2.3, p = 0.03) and stroke volume (t(174) = 2.4, p = 0.02).Conclusions:During the months after ischemic stroke, BPF, WMHV and PSMD can detect persistent structural changes that may reflect later phases of stroke injury or ongoing contributions of aging, silent ischemia, or neurodegeneration.