d'Esterre Christopher D, Sah Rani Gupta, Assis Zarina, Talai Aron S, Demchuk Andrew M, Hill Michael D, Goyal Mayank, Lee Ting-Yim, Forkert Nils D, Barber Philip A
Department of Clinical Neurosciences, Calgary Stroke Program, Calgary, Canada.
Seaman Family Centre, Foothills Medical Centre, Calgary, AB, Canada.
Br J Radiol. 2020 Dec 1;93(1116):20190890. doi: 10.1259/bjr.20190890. Epub 2020 Sep 17.
Cerebral blood flow (CBF) measurements after endovascular therapy (EVT) for acute ischemic stroke are important to distinguish early secondary injury related to persisting ischemia from that related to reperfusion when considering clinical response and infarct growth.
We compare reperfusion quantified by the modified Thrombolysis in Cerebral Infarction Score (mTICI) with perfusion measured by MRI dynamic contrast-enhanced perfusion within 5 h of EVT anterior circulation stroke. MR perfusion (rCBF, rCBV, rTmax, rT0) and mTICI scores were included in a predictive model for change in NIHSS at 24 h and diffusion-weighted imaging (DWI) lesion growth (acute to 24 h MRI) using a machine learning RRELIEFF feature selection coupled with a support vector regression.
For all perfusion parameters, mean values within the acute infarct for the TICI-2b group (considered clinically good reperfusion) were not significantly different from those in the mTICI <2b (clinically poor reperfusion). However, there was a statistically significant difference in perfusion values within the acute infarct region of interest between the mTICI-3 group both mTICI-2b and <2b (). The features that made up the best predictive model for change in NIHSS and absolute DWI lesion volume change was rT0 within acute infarct ROI and admission CTA collaterals respectively. No other variables, including mTICI scores, were selected for these best models. The correlation coefficients (Root mean squared error) for the cross-validation were 0.47 (13.7) and 0.51 (5.7) for change in NIHSS and absolute DWI lesion volume change.
MR perfusion following EVT provides accurate physiological approach to understanding the relationship of CBF, clinical outcome, and DWI growth.
MR perfusion CBF acquired is a robust, objective reperfusion measurement providing following recanalization of the target occlusion which is critical to distinguish potential therapeutic harm from the failed technical success of EVT as well as improve the responsiveness of clinical trial outcomes to disease modification.
在考虑临床反应和梗死灶扩大时,急性缺血性卒中血管内治疗(EVT)后的脑血流量(CBF)测量对于区分与持续缺血相关的早期继发性损伤和与再灌注相关的损伤很重要。
我们将通过改良脑梗死溶栓评分(mTICI)量化的再灌注与在EVT治疗前循环卒中5小时内通过MRI动态对比增强灌注测量的灌注进行比较。MR灌注(rCBF、rCBV、rTmax、rT0)和mTICI评分被纳入一个预测模型,该模型使用机器学习RRELIEFF特征选择结合支持向量回归来预测24小时时美国国立卫生研究院卒中量表(NIHSS)的变化以及扩散加权成像(DWI)病变扩大(急性至24小时MRI)。
对于所有灌注参数,TICI-2b组(被认为临床再灌注良好)急性梗死灶内的平均值与mTICI<2b组(临床再灌注不良)相比无显著差异。然而,mTICI-3组与mTICI-2b组和<2b组相比,急性梗死灶感兴趣区内的灌注值存在统计学显著差异。构成NIHSS变化和绝对DWI病变体积变化最佳预测模型的特征分别是急性梗死灶ROI内的rT0和入院时CTA侧支循环。这些最佳模型未选择包括mTICI评分在内的其他变量。交叉验证的相关系数(均方根误差)对于NIHSS变化和绝对DWI病变体积变化分别为0.47(13.7)和0.51(5.7)。
EVT后的MR灌注提供了一种准确的生理学方法来理解CBF、临床结局和DWI扩大之间的关系。
所获取的MR灌注CBF是一种可靠、客观的再灌注测量方法,在目标闭塞再通后提供该测量,这对于区分EVT技术成功失败带来的潜在治疗危害以及提高临床试验结果对疾病改善的反应性至关重要。