Madai Vince I, Galinovic Ivana, Grittner Ulrike, Zaro-Weber Olivier, Schneider Alice, Martin Steve Z, von Samson-Himmelstjerna Federico C, Stengl Katharina L, Mutke Matthias A, Moeller-Hartmann Walter, Ebinger Martin, Fiebach Jochen B, Sobesky Jan
Center for Stroke Research Berlin (CSB), Charité-Universitätsmedizin, Berlin, Germany; Department of Neurology, Charité-Universtitätsmedizin, Berlin, Germany.
Center for Stroke Research Berlin (CSB), Charité-Universitätsmedizin, Berlin, Germany.
PLoS One. 2014 Mar 21;9(3):e92295. doi: 10.1371/journal.pone.0092295. eCollection 2014.
In acute stroke, the DWI-FLAIR mismatch allows for the allocation of patients to the thrombolysis window (<4.5 hours). FLAIR-lesions, however, may be challenging to assess. In comparison, DWI may be a useful bio-marker owing to high lesion contrast. We investigated the performance of a relative DWI signal intensity (rSI) threshold to predict the presence of FLAIR-lesions in acute stroke and analyzed its association with time-from-stroke-onset.
In a retrospective, dual-center MR-imaging study we included patients with acute stroke and time-from-stroke-onset ≤12 hours (group A: n = 49, 1.5T; group B: n = 48, 3T). DW- and FLAIR-images were coregistered. The largest lesion extent in DWI defined the slice for further analysis. FLAIR-lesions were identified by 3 raters, delineated as regions-of-interest (ROIs) and copied on the DW-images. Circular ROIs were placed within the DWI-lesion and labeled according to the FLAIR-pattern (FLAIR+ or FLAIR-). ROI-values were normalized to the unaffected hemisphere. Adjusted and nonadjusted receiver-operating-characteristics (ROC) curve analysis on patient level was performed to analyze the ability of a DWI- and ADC-rSI threshold to predict the presence of FLAIR-lesions. Spearman correlation and adjusted linear regression analysis was performed to assess the relationship between DWI-intensity and time-from-stroke-onset.
DWI-rSI performed well in predicting lesions in FLAIR-imaging (mean area under the curve (AUC): group A: 0.84; group B: 0.85). An optimal mean DWI-rSI threshold was identified (A: 162%; B: 161%). ADC-maps performed worse (mean AUC: A: 0.58; B: 0.77). Adjusted regression models confirmed the superior performance of DWI-rSI. Correlation coefficents and linear regression showed a good association with time-from-stroke-onset for DWI-rSI, but not for ADC-rSI.
An easily assessable DWI-rSI threshold identifies the presence of lesions in FLAIR-imaging with good accuracy and is associated with time-from-stroke-onset in acute stroke. This finding underlines the potential of a DWI-rSI threshold as a marker of lesion age.
在急性卒中中,弥散加权成像(DWI)与液体衰减反转恢复序列(FLAIR)不匹配可用于将患者分配至溶栓时间窗(<4.5小时)。然而,FLAIR病变可能难以评估。相比之下,由于病变对比度高,DWI可能是一种有用的生物标志物。我们研究了相对DWI信号强度(rSI)阈值预测急性卒中FLAIR病变的性能,并分析其与卒中发作时间之间的关联。
在一项回顾性、双中心磁共振成像研究中,我们纳入了急性卒中且卒中发作时间≤12小时的患者(A组:n = 49,1.5T;B组:n = 48,3T)。对DWI和FLAIR图像进行配准。DWI上最大病变范围确定用于进一步分析的层面。由3名评估者识别FLAIR病变,将其描绘为感兴趣区(ROI)并复制到DWI图像上。在DWI病变内放置圆形ROI,并根据FLAIR模式(FLAIR+或FLAIR-)进行标记。将ROI值与未受影响的半球进行归一化。在患者层面进行调整和未调整的受试者工作特征(ROC)曲线分析,以分析DWI和表观扩散系数(ADC)-rSI阈值预测FLAIR病变的能力。进行Spearman相关性分析和调整线性回归分析,以评估DWI强度与卒中发作时间之间的关系。
DWI-rSI在预测FLAIR成像中的病变方面表现良好(曲线下平均面积(AUC):A组:0.84;B组:0.85)。确定了最佳平均DWI-rSI阈值(A组:162%;B组:161%)。ADC图表现较差(平均AUC:A组:0.58;B组:0.77)。调整后的回归模型证实了DWI-rSI的优越性能。相关系数和线性回归显示DWI-rSI与卒中发作时间有良好关联,而ADC-rSI则不然。
一个易于评估的DWI-rSI阈值能够准确识别FLAIR成像中的病变,并且与急性卒中的卒中发作时间相关。这一发现强调了DWI-rSI阈值作为病变年龄标志物的潜力。