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多中心队列研究的荟萃分析:脑动脉直径与人口统计学和解剖学因素的关系。

Association of brain arterial diameters with demographic and anatomical factors in a multi-national pooled analysis of cohort studies.

机构信息

University of Miami, Miami, FL, USA.

St. Louis University, St. Louis, MO, USA.

出版信息

Neuroradiol J. 2024 Jun;37(3):304-313. doi: 10.1177/19714009231224429. Epub 2023 Dec 26.

Abstract

BACKGROUND AND PURPOSE

Brain arterial diameters are markers of cerebrovascular disease. Demographic and anatomical factors may influence arterial diameters. We hypothesize that age, sex, height, total cranial volume (TCV), and persistent fetal posterior cerebral artery (fPCA) correlate with brain arterial diameters across populations.

METHODS

Participants had a time-of-flight MRA from nine international cohorts. Arterial diameters of the cavernous internal carotid arteries (ICA), middle cerebral arteries (MCA), and basilar artery (BA) were measured using LAVA software. Regression models assessed the association between exposures and brain arterial diameters.

RESULTS

We included 6,518 participants (mean age: 70 ± 9 years; 41% men). Unilateral fPCA was present in 13.2% and bilateral in 3.2%. Larger ICA, MCA, and BA diameters correlated with older age (Weighted average [WA] per 10 years: 0.18 mm, 0.11 mm, and 0.12 mm), male sex (WA: 0.24 mm, 0.13 mm, and 0.21 mm), and TCV (WA: for one TCV standard deviation: 0.24 mm, 0.29 mm, and 0.18 mm). Unilateral and bilateral fPCAs showed a positive correlation with ICA diameters (WA: 0.39 mm and 0.73 mm) and negative correlation with BA diameters (WA: -0.88 mm and -1.73 mm). Regression models including age, sex, TCV, and fPCA explained on average 15%, 13%, and 25% of the ICA, MCA, and BA diameter interindividual variation, respectively. Using height instead of TCV as a surrogate of head size decreased the R-squared by 3% on average.

CONCLUSION

Brain arterial diameters correlated with age, sex, TCV, and fPCA. These factors should be considered when defining abnormal diameter cutoffs across populations.

摘要

背景与目的

脑动脉直径是脑血管疾病的标志物。人口统计学和解剖学因素可能会影响动脉直径。我们假设年龄、性别、身高、总颅容积(TCV)和永存性大脑后动脉(fPCA)与人群中的脑动脉直径相关。

方法

研究纳入了来自九个国际队列的时间飞跃磁共振血管造影(MRA)数据。使用 LAVA 软件测量海绵窦内颈动脉(ICA)、大脑中动脉(MCA)和基底动脉(BA)的动脉直径。回归模型评估了暴露因素与脑动脉直径之间的关联。

结果

我们纳入了 6518 名参与者(平均年龄:70±9 岁;41%为男性)。单侧 fPCA 的发生率为 13.2%,双侧发生率为 3.2%。ICA、MCA 和 BA 直径越大,年龄越大(每增加 10 岁的加权平均值[WA]:0.18mm、0.11mm 和 0.12mm),男性(WA:0.24mm、0.13mm 和 0.21mm)和 TCV 越大(WA:TCV 一个标准差:0.24mm、0.29mm 和 0.18mm)。单侧和双侧 fPCA 与 ICA 直径呈正相关(WA:0.39mm 和 0.73mm),与 BA 直径呈负相关(WA:-0.88mm 和-1.73mm)。包含年龄、性别、TCV 和 fPCA 的回归模型平均解释了 ICA、MCA 和 BA 直径个体间差异的 15%、13%和 25%。使用身高代替 TCV 作为头部大小的替代物,平均会使 R-squared 降低 3%。

结论

脑动脉直径与年龄、性别、TCV 和 fPCA 相关。在定义不同人群中异常直径截断值时,应考虑这些因素。

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