Quantitative assessment of the intracranial vasculature in an older adult population using iCafe

Quantitative assessment of the intracranial vasculature in an older adult population using iCafe
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使用 iCafe 对老年人群的颅内脉管系统进行定量评估

DOI:
10.1016/j.neurobiolaging.2019.02.027
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发表时间:
2019-07-01
影响因子:
4.2
通讯作者:
Yuan, Chun
Yuan, Chun
中科院分区:
医学2区
文献类型:
--
作者:
Chen, Li;Sun, Jie;Yuan, Chun

文献摘要

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全面量化颅内动脉的特征可能有助于我们评估和了解脑发育和衰老过程中血液供应的变化。我们分析了163名来自社区研究的参与者(年龄56-85岁,平均71岁)的血管系统特征,以调查这些特征是否随年龄而变化。这些参与者的三维飞行时间磁共振血管成像图像通过颅内动脉特征提取技术(一种新近发展起来的获取动脉定量特征的技术)进行处理,将颅内血管划分为解剖段,并为每个段生成8个形态和强度特征。总体而言,年龄的增加与颅内动脉的分支数量和平均顺序呈负相关,而与曲折程度呈正相关,在调整了心血管危险因素后仍存在。在3个主要的颅内动脉区域中,与分支数目和平均顺序的关联一致,而与曲折的关联似乎仅存在于大脑中动脉/远端动脉。将飞行时间磁共振血管成像技术与颅内动脉特征提取技术相结合,为研究脑老化过程中的血管状况和变化提供了一种有效的方法。(C)2019 Elsevier Inc.保留所有权利。
Comprehensive quantification of intracranial artery features may help us assess and understand variations of blood supply during brain development and aging. We analyzed vasculature features of 163 participants (age 56-85 years, mean of 71) from a community study to investigate if any of the features varied with age. Three-dimensional time-of-flight magnetic resonance angiography images of these participants were processed in IntraCranial artery feature extraction technique (a recently developed technique to obtain quantitative features of arteries) to divide intracranial vasculatures into anatomical segments and generate 8 morphometry and intensity features for each segment. Overall, increase in age was found negatively associated with number of branches and average order of intracranial arteries while positively associated with tortuosity, which remained after adjusting for cardiovascular risk factors. The associations with number of branches and average order were consistently found between 3 main intracranial artery regions, whereas the association with tortuosity appeared to be present only in middle cerebral artery/distal arteries. The combination of time-of-flight magnetic resonance angiography and IntraCranial artery feature extraction technique may provide an effective way to study vascular conditions and changes in the aging brain. (C) 2019 Elsevier Inc. All rights reserved.