From the Division of Experimental Neurology, Department of Neurosciences (J.D., A.W., R.L.), Catholic University (KU) Leuven-University of Leuven, Belgium.
Flemish Institute for Biotechnology (VIB), Center for Brain and Disease Research, Laboratory of Neurobiology, Leuven, Belgium (J.D., A.W., R.L.).
Stroke. 2018 Oct;49(10):2361-2367. doi: 10.1161/STROKEAHA.118.021961.
Background and Purpose- We aimed to compare the ability of conventional Alberta Stroke Program Early CT Score (ASPECTS), automated ASPECTS, and ischemic core volume on computed tomographic perfusion to predict clinical outcome in ischemic stroke because of large vessel occlusion ≤18 hours after symptom onset. Methods- We selected patients with acute ischemic stroke from the CRISP study (Computed Tomographic Perfusion to Predict Response to Recanalization in Ischemic Stroke Project) with successful reperfusion (modified treatment in cerebral ischemia score 2b or 3). We used e-ASPECTS software to calculate automated ASPECTS and RAPID software to estimate ischemic core volumes. We studied associations between these imaging characteristics and good outcome (modified Rankin Scale score, 0-2) or poor outcome (modified Rankin Scale score, 4-6) in univariable and multivariable analysis, after adjustment for relevant clinical confounders. Results- We included 156 patients. Conventional and automated ASPECTS was not associated with good or poor outcome in univariable analysis ( P=nonsignificant for all). Automated ASPECTS was associated with good outcome in multivariable analysis ( P=0.02) but not with poor outcome. Ischemic core volume was associated with good ( P<0.01) and poor outcome ( P=0.04) in univariable and multivariable analysis ( P=0.03 and P=0.02, respectively). Computed tomographic perfusion predicted good outcome with an area under the curve of 0.62 (95% CI, 0.53-0.71) and optimal cutoff core volume of 15 mL. Conclusions- Ischemic core volume assessed on computed tomographic perfusion is a predictor of clinical outcome among patients in whom endovascular reperfusion is achieved ≤18 hours after symptom onset. In this population, conventional or automated ASPECTS did not predict outcome.
背景与目的- 我们旨在比较传统的 Alberta 卒中项目早期 CT 评分(ASPECTS)、自动 ASPECTS 和 CT 灌注成像上的缺血核心体积在预测症状发作后 18 小时内大血管闭塞引起的缺血性卒中临床结局方面的能力。方法- 我们从 CRISP 研究(CT 灌注成像预测缺血性卒中再灌注反应项目)中选择了成功再灌注的急性缺血性卒中患者(改良治疗脑缺血评分 2b 或 3)。我们使用 e-ASPECTS 软件计算自动 ASPECTS,使用 RAPID 软件估计缺血核心体积。在调整了相关临床混杂因素后,我们在单变量和多变量分析中研究了这些影像学特征与良好结局(改良 Rankin 量表评分 0-2)或不良结局(改良 Rankin 量表评分 4-6)之间的关联。结果- 我们纳入了 156 名患者。在单变量分析中,传统和自动 ASPECTS 与良好或不良结局均无相关性(所有 P 值均无统计学意义)。自动 ASPECTS 在多变量分析中与良好结局相关(P=0.02),但与不良结局无关。在单变量和多变量分析中,缺血核心体积与良好(P<0.01)和不良结局(P=0.04)相关(P=0.03 和 P=0.02)。CT 灌注预测良好结局的曲线下面积为 0.62(95%CI,0.53-0.71),最佳核心体积截断值为 15mL。结论- 在症状发作后 18 小时内接受血管内再灌注治疗的患者中,CT 灌注成像上评估的缺血核心体积是临床结局的预测指标。在该人群中,传统或自动 ASPECTS 不能预测结局。