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Perfusion Characteristics in Chronic Cerebrovascular Insufficiency

机译:慢性脑血管功能不全的灌注特征

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Xenon-enhanced computed tomography (XeCT) allows quantification of hemodynamic insufficiency in the setting of cerebrovascular atherosclerotic disease (CAD). However, data regarding the relationship between hemodynamic indices [cerebral blood flow (CBF) and cerebrovascular reserve capacity (CVRC)] and normal subjects (with aging) and pathology (progression of CAD or development of stroke symptoms) are limited. In this study, we analyzed 103 consecutive patients undergoing XeCT according to age, anatomical location and disease severity. We stratified anatomically defined ROIs according to a classification system that observes the presence of proximal stenosis (class I vs. class II/III) as well as the presence of neurological symptoms (class II vs. III); CBF, CVRC and hemodynamic stress distribution were calculated. Supratentorial CBF decreases significantly with age, but not infratentorially. Cortical CVRC remains stable over time. Our classification of disease severity correlated highly significantly with a decrease in supratentorial CBF and CVRC, though CVRC is less sensitive to age-related changes. Regression analysis delineated a CVRC of 34% to discriminate between ROI classes. Age-dependent perfusion characteristics in normal vascular territories were characterized. In CAD, CVRC remains the most sensitive parameter. A simplified classification of ROIs according to disease severity correlates well with established markers for hemodynamic insufficiency. It may facilitate comparison of different pathologies such as CAD and Moyamoya disease and will be the focus of further studies.
机译:氙气增强体层摄影术(XeCT)可以量化脑血管动脉粥样硬化疾病(CAD)背景下的血流动力学不足。但是,关于血流动力学指标[脑血流量(CBF)和脑血管储备能力(CVRC)]与正常受试者(有衰老)和病理(CAD进展或中风症状发展)之间关系的数据有限。在这项研究中,我们根据年龄,解剖位置和疾病严重程度分析了103例接受XeCT的连续患者。我们根据分类系统对解剖学定义的ROI进行分层,该分类系统观察近端狭窄的存在(I类与II / III类)以及神经系统症状(II类与III类);计算了CBF,CVRC和血流动力学应力分布。幕上CBF随着年龄的增长而显着降低,但在幕下则没有。皮质CVRC随时间保持稳定。尽管CVRC对与年龄相关的变化较不敏感,但我们对疾病严重性的分类与幕上CBF和CVRC的降低高度相关。回归分析表明CVRC为34%,以区分ROI类。表征了正常血管区域中年龄依赖性的灌注特征。在CAD中,CVRC仍然是最敏感的参数。根据疾病严重程度对ROI进行的简化分类与已建立的血流动力学功能不全标记密切相关。它可能有助于比较不同的病理,例如CAD和Moyamoya疾病,将成为进一步研究的重点。

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