Department of Neuroradiology, University Medicine Goettingen, Goettingen, Germany.
Stroke. 2013 Aug;44(8):2188-93. doi: 10.1161/STROKEAHA.113.001068. Epub 2013 May 28.
Patient selection is crucial in the endovascular treatment of acute ischemic stroke patients. Baseline computed tomographic (CT) images, evaluated with the Alberta Stroke Program Early CT Scale (ASPECTS), are considered significant predictors of outcome. In this study, we evaluated CT images and perfusion parameters, analyzed with ASPECTS, as final outcome predictors after endovascular stroke treatment.
We analyzed a cohort of patients with acute ischemic stroke and endovascular treatment. Patients with an occlusion of the M1 segment and multimodal CT imaging were included. CT perfusion data were reconstructed using commercial software. Two experienced neuroradiologists separately reviewed and scored CT and CT perfusion images with the ASPECTS score. Parameters were compared between patients with poor and with favorable follow-up outcome. Significantly different variables were further analyzed by forward stepwise logistic regression.
Fifty-one patients were included in our study. Baseline characteristics did not differ between patients with favorable and poor outcomes. No significant difference in recanalization status, the various times, or CT ASPECTS was demonstrated between these 2 groups. Significant differences were demonstrated for age (P=0.0049), cerebral blood volume ASPECTS (P=0.0007), and between cerebral blood volume and cerebral blood flow ASPECTS (P=0.0045). Cerebral blood volume ASPECTS>7 demonstrated the highest sensitivity and specificity for favorable outcome with 84% and 79%, respectively.
CT perfusion parameters, evaluated with ASPECTS, are optimal predictors of outcome and are more sensitive and specific than CT ASPECTS in the prediction of favorable outcome. Use of these parameters in treatment decisions could reduce futile recanalizations.
患者选择在急性缺血性脑卒中患者的血管内治疗中至关重要。基线计算机断层扫描(CT)图像,通过 Alberta 卒中项目早期 CT 评分(ASPECTS)进行评估,被认为是结局的重要预测指标。在本研究中,我们评估了 CT 图像和灌注参数,并用 ASPECTS 进行分析,作为血管内卒中治疗后的最终结局预测指标。
我们分析了一组急性缺血性脑卒中患者并进行了血管内治疗。纳入了大脑中动脉 M1 段闭塞且接受多模态 CT 成像的患者。CT 灌注数据使用商业软件进行重建。两名经验丰富的神经放射科医生分别对 CT 和 CT 灌注图像进行了单独评估,并按照 ASPECTS 评分进行了评分。对预后不良和预后良好的患者进行了参数比较。对有显著差异的变量进行了逐步向前逻辑回归分析。
本研究共纳入 51 例患者。预后良好和预后不良患者的基线特征无差异。这两组患者的再通状态、各种时间点或 CT ASPECTS 无显著差异。年龄(P=0.0049)、脑血容量 ASPECTS(P=0.0007)和脑血容量与脑血流 ASPECTS 之间存在显著差异(P=0.0045)。脑血容量 ASPECTS>7 对预后良好的敏感性和特异性最高,分别为 84%和 79%。
用 ASPECTS 评估的 CT 灌注参数是结局的最佳预测指标,在预测良好结局方面比 CT ASPECTS 更敏感和特异。在治疗决策中使用这些参数可能会减少无效的再通。