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Phase-based metamorphosis of diffusion lesion in relation to perfusion values in acute ischemic stroke

机译:急性缺血性卒中的弥散性病变基于相位的变态与灌注值的关系

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摘要

Examining the dynamics of stroke ischemia is limited by the standard use of 2D-volume or voxel-based analysis techniques. Recently developed spatiotemporal models such as the 4D metamorphosis model showed promise for capturing ischemia dynamics. We used a 4D metamorphosis model to evaluate acute ischemic stroke lesion morphology from the acute diffusion-weighted imaging (DWI) to final T2-weighted imaging (T2-w). In 20 representative patients, we metamorphosed the acute lesion to subacute lesion to final infarct. From the DWI lesion deformation maps we identified dynamic lesion areas and examined their association with perfusion values inside and around the lesion edges, blinded to reperfusion status. We then tested the model in ten independent patients from the STroke Imaging Repository (STIR). Perfusion values varied widely between and within patients, and were similar in contracting and expanding DWI areas in many patients in both datasets. In 25% of patients, the perfusion values were higher in DWI-contracting than DWI-expanding areas. A similar wide range of perfusion values and ongoing expansion and contraction of the DWI lesion were seen subacutely. There was more DWI contraction and less expansion in patients who received thrombolysis, although with widely ranging perfusion values that did not differ. 4D metamorphosis modeling shows promise as a method to improve use of multimodal imaging to understand the evolution of acute ischemic tissue towards its fate.
机译:检查卒中缺血的动力学受到2D体积或基于体素的分析技术的标准使用的限制。最近开发的时空模型(例如4D变态模型)显示出捕获缺血动态的希望。我们使用了4D变态模型来评估从急性弥散加权成像(DWI)到最终的T2加权成像(T2-w)的急性缺血性中风病变形态。在20例代表性患者中,我们将急性病变转化为亚急性病变,直至最终梗死。从DWI病变变形图,我们确定了动态病变区域,并检查了它们与病变边缘内部和周围的灌注值的关联,对再灌注状态不了解。然后,我们在来自STroke Imaging Repository(STIR)的十名独立患者中测试了该模型。患者之间和患者内部的灌注值差异很大,在两个数据集中,许多患者的收缩和扩大DWI面积相似。在25%的患者中,DWI收缩区域的灌注值高于DWI扩张区域。亚急性可见类似的广泛灌注值以及DWI病变的持续扩张和收缩。接受溶栓治疗的患者DWI收缩更大,扩张更少,尽管灌注值的变化范围不大。 4D变形建模显示出有望作为一种改进多模态成像以了解急性缺血组织向其命运演变的方法。

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