University of California, Department of Radiology and Biomedical Imaging, Neuroradiology Section, San Francisco, USA.
J Neuroradiol. 2011 Jul;38(3):161-6. doi: 10.1016/j.neurad.2010.08.001. Epub 2010 Oct 14.
Damage to the blood brain barrier (BBB) may lead to haemorrhagic transformation after ischaemic stroke. The purpose of this study was to evaluate the effect of patient characteristics and stroke severity on admission BBB permeability (BBBP) values measured with perfusion-CT (PCT) in acute ischaemic stroke patients.
We retrospectively identified 65 patients with proven ischaemic stroke admitted within 12 hours after symptom onset. Patients' charts were reviewed for demographic variables and vascular risk factors. The Patlak's model was applied to calculate BBBP values from the PCT data in the infarct core, penumbra and non-ischaemic tissue in the contralateral hemisphere. Mean BBBP values and their 95% confidence intervals (CI) were calculated in the different tissue types. Effects of demographic variables and risk factors on BBBP were analyzed using a multivariate, generalized estimating equations (GEE) model.
BBBP values in the infarct core (mean [95%CI]: 2.48 [2.16-2.85]) and penumbra (2.48 [2.21-2.79]) were significantly higher than in non-ischaemic tissue (2.12 [1.88-2.39]). Multivariate analysis demonstrated that collateral filling has effect on BBBP. Less elevated BBBP values were associated with more than 50% collateral filling.
BBBP values are increased in ischaemic brain tissue on the admission PCT scan of acute ischaemic stroke patients. Less abnormally elevated BBBP values were observed in patients with more than 50% collateral filling, possibly explaining why there is a relationship between more collateral filling and a lower incidence of haemorrhagic transformation.
血脑屏障(BBB)损伤可能导致缺血性卒中后发生出血性转化。本研究旨在评估患者特征和卒中严重程度对入院时经灌注 CT(PCT)测量的 BBB 通透性(BBBP)值的影响。
我们回顾性地纳入了 65 例在症状发作后 12 小时内确诊的缺血性卒中患者。对患者的病历进行了评估,以了解人口统计学变量和血管危险因素。应用 Patlak 模型从梗死核心、半影区和对侧半球非缺血组织的 PCT 数据中计算 BBBP 值。计算了不同组织类型的平均 BBBP 值及其 95%置信区间(CI)。使用多变量广义估计方程(GEE)模型分析人口统计学变量和危险因素对 BBBP 的影响。
梗死核心(平均值[95%CI]:2.48 [2.16-2.85])和半影区(2.48 [2.21-2.79])的 BBBP 值明显高于非缺血组织(2.12 [1.88-2.39])。多变量分析表明,侧支充盈对 BBBP 有影响。更多的侧支充盈与 BBBP 值升高幅度降低相关。
缺血性卒中患者入院时的 PCT 扫描显示 BBBP 值升高。在侧支充盈超过 50%的患者中,观察到的 BBBP 值异常升高幅度较小,这可能解释了为什么侧支充盈较多与出血性转化发生率较低之间存在关系。