Medical Imaging Center, Tampere University Hospital, PL 2000, 33521 Tampere, Finland.
Neuroradiology. 2012 Jul;54(7):663-72. doi: 10.1007/s00234-011-0954-z. Epub 2011 Sep 9.
Recently two classification methods based on the location and the extent of thrombosis detected with CT angiography have been introduced: the Boston Acute Stroke Imaging Scale (BASIS) and the clot burden score (CBS). We studied the performance of BASIS and CBS in predicting good clinical outcome (mRS ≤ 2 at 90 days) in an acute (< 3 h) stroke cohort treated with intravenous thrombolytic therapy.
Eighty-three consecutive patients who underwent multimodal CT were analyzed. Binary logistic regression model was used to assess how BASIS, CBS, and cerebral blood volume (CBV) ASPECTS predict favorable clinical outcome. Diagnostic sensitivities and specificities were calculated and compared.
Patients with low CBS and CBV ASPECTS scores and major strokes according to BASIS had significantly higher admission NIHSS scores, larger perfusion defects, and more often poor clinical outcome. In logistic regression analysis, CBV ASPECTS, CBS and BASIS were significantly associated with the clinical outcome. The performance of BASIS improved when patients with thrombosis of the M2 segment of the middle cerebral artery were classified as having minor stroke (M1-BASIS). In the anterior circulation, the sum of CBS and CBV ASPECTS (CBSV) proved to be the most robust predictor of favorable outcome. CBV ASPECTS and CBS had high sensitivity but moderate to poor specificity while BASIS was only moderately sensitive and specific.
CBS, BASIS, and CBV ASPECTS are statistically robust and sensitive but unspecific predictors of good clinical outcome. Two new derived imaging parameters, CBSV and M1-BASIS, share these properties and may have increased prognostic value.
最近,两种基于 CT 血管造影检测到的血栓位置和程度的分类方法已经被引入:波士顿急性脑卒中成像量表(BASIS)和血栓负荷评分(CBS)。我们研究了 BASIS 和 CBS 在预测接受静脉溶栓治疗的急性(<3 小时)脑卒中患者的良好临床结局(90 天时 mRS≤2)中的表现。
对 83 例接受多模态 CT 检查的连续患者进行了分析。使用二元逻辑回归模型来评估 BASIS、CBS 和脑血容量(CBV)ASPECTS 如何预测良好的临床结局。计算并比较了诊断的敏感性和特异性。
低 CBS 和 CBV ASPECTS 评分以及根据 BASIS 分类的主要脑卒中患者的入院 NIHSS 评分显著更高,灌注缺陷更大,且更常出现不良临床结局。在逻辑回归分析中,CBV ASPECTS、CBS 和 BASIS 与临床结局显著相关。当将大脑中动脉 M2 段的血栓归类为小卒中(M1-BASIS)时,BASIS 的性能得到改善。在前循环中,CBS 和 CBV ASPECTS 的总和(CBSV)被证明是良好结局的最有力预测因子。CBV ASPECTS 和 CBS 具有较高的敏感性,但特异性为中等至较差,而 BASIS 仅具有中等敏感性和特异性。
CBS、BASIS 和 CBV ASPECTS 是统计上稳健且敏感但特异性较差的良好临床结局预测因子。两个新的衍生影像学参数 CBSV 和 M1-BASIS 具有这些特性,可能具有更高的预后价值。