比较弥散核磁共振成像方法在中风后早期大脑结构重组研究中的应用

Y. Stankevich, I. S. Karabanov, V. V. Popov, O. Bogomyakova, A. A. Tulupov
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摘要

目前神经影像学领域的研究主要集中在使用各种弥散 MR 模型数据评估大脑重组的可能性:弥散张量可视化(DTI)、弥散峰度可视化(DKI)、弥散频谱可视化(DSI)、广义 Q 样本可视化(GQI)、Q 球可视化(QBI)。本研究旨在比较弥散磁共振模型(DTI、DKI)对卒中后大脑重组的动态观察结果。材料和方法根据常规方案(DWI-EPI、FLAIR-SPIR、T2-WI、T1W-TFE)和 DTI 方法,分别于脑卒中发生后 1-3 天、7-10 天和 3-4 个月在 Ingenia 3.0 T(飞利浦,荷兰)上对 129 名患者的脑部进行动态 MR 检查。对脑卒中进行验证,并绘制 DTI、GQI 和 DKI 图。结果与讨论 结果显示,中风区域的 DTI 分数各向异性(FA)从 1-3 天到 7-10 天发生了显著变化;在三项研究中,患区的平均弥散、轴向弥散和径向弥散均有所增加。对于 DKI 模型--病变区域的曲度 FA 在 3-4 个月时发生了明显变化;中风区域的平均曲度在第二次观察时下降,轴向曲度在所有研究中均在同一区域下降;径向峰度在整个研究中在患区明显增加。结果证实了世界数据,也表明弥散指标可以解释各种疾病的大脑神经可塑性,但这还需要进一步研究。应用的弥散模型显示了缺血区域和完整对侧区域的重组。利用扩散模型进行动态评估是研究神经可塑性机制的一个很有前景的方向。
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Comparison of diffusion MRI methods in the study of structural reorganization of the brain in the early post-stroke period
Current research in the field of neuroimaging is focused on the possibilities of using data from various diffusion MR models: diffusion tensor visualization (DTI), diffusion-curtosis visualization (DKI), diffusion-spectral visualization (DSI), generalized q-sample visualization (GQI), Q-ball visualization (QBI) in the assessment reorganization of the brain. The purpose of this study is to compare the results of dynamic observation of post–stroke brain reorganization by diffusion MR models (DTI, DKI). Material and methods. Dynamic MR examination of the brain of 129 patients was performed on a Ingenia 3.0 T (Philips, Netherlands) on 1–3 days, 7–10 days, 3–4 months after the manifestation of stroke according to a routine protocol (DWI-EPI, FLAIR-SPIR, T2-WI, T1W-TFE) with DTI method. The stroke was verified and DTI, GQI, and DKI maps were built. Results and discussion It was showed that the fractional anisotropy (FA) of DTI significantly changed from 1–3 days to 7–10 days in the stroke area; the mean, axial and radial diffusions increased in the affected area over the three studies. For DKI model – the curtosis FA significantly changed in the lesion area by 3–4 months; the mean curtosis decreased by the second observation in the stroke area, axial curtosis decreased in the same area throughout all studies; radial kurtosis significantly increased in the affected area throughout the study. The results confirm the world data and also indicate that diffusion metrics can interpret the neuroplasticity of the brain in various diseases, however, this requires further study. The applied diffusion models indicated the reorganization of the ischemic area and the intact contralateral area. The use of diffusion models for the dynamic assessment is a promising direction in the study of the neuroplasticity mechanisms.
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