Ischemic Stroke Patients Demonstrate Increased Carotid Plaque Microvasculature Compared to (Ocular) Transient Ischemic Attack Patients
Background: Patients with a recent ischemic stroke have a higher risk of recurrent stroke compared to (ocular) transient ischemic attack (TIA) patients. Plaque microvasculature is considered as a feature of plaque vulnerability and can be quantified with carotid dynamic contrast-enhanced MRI (DCE-MR...
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Veröffentlicht in: | Cerebrovascular diseases (Basel, Switzerland) Switzerland), 2017-01, Vol.44 (5-6), p.297-303 |
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Sprache: | eng |
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Zusammenfassung: | Background: Patients with a recent ischemic stroke have a higher risk of recurrent stroke compared to (ocular) transient ischemic attack (TIA) patients. Plaque microvasculature is considered as a feature of plaque vulnerability and can be quantified with carotid dynamic contrast-enhanced MRI (DCE-MRI). The purpose of this cross-sectional study was to explore the association between plaque microvasculature and the type of recent cerebrovascular events in symptomatic patients with mild-to-moderate carotid stenosis. Methods: A total of 87 symptomatic patients with a recent stroke (n = 35) or (ocular) TIA (n = 52) underwent carotid DCE-MRI examination. Plaque microvasculature was studied in the vessel wall and adventitia using DCE-MRI and the pharmacokinetic modeling parameter K trans . Statistical analysis was performed with logistic regression, correcting for associated clinical risk factors. Results: The 75th percentile adventitial (OR 1.97, 95% CI 1.18-3.29) K trans was significantly associated with a recent ischemic stroke compared to (ocular) TIA in multivariate analysis, while clinical risk factors were not significantly associated with the type of event. Conclusions: This study indicates a positive association of leaky plaque microvasculature with a recent ischemic stroke compared to (ocular) TIA. Prospective longitudinal studies are needed to investigate whether K trans or other plaque characteristics may serve as an imaging marker for predicting (the type of) future cerebrovascular events. |
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ISSN: | 1015-9770 1421-9786 |
DOI: | 10.1159/000481146 |