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固定组织中的脑卒中梗死体积估计:在鼠 MCAO 模型中,扩散峰度成像与扩散加权成像和组织学的比较。

Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model.

机构信息

Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Risskov, Denmark.

Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

出版信息

PLoS One. 2018 Apr 26;13(4):e0196161. doi: 10.1371/journal.pone.0196161. eCollection 2018.

DOI:10.1371/journal.pone.0196161
PMID:29698450
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5919652/
Abstract

Diffusion kurtosis imaging (DKI) is a new promising MRI technique with microstructural sensitivity superior to conventional diffusion tensor (DTI) based methods. In stroke, considerable mismatch exists between the infarct lesion outline obtained from the two methods, kurtosis and diffusion tensor derived metrics. We aim to investigate if this mismatch can be examined in fixed tissue. Our investigation is based on estimates of mean diffusivity (MD) and mean (of the) kurtosis tensor (MKT) obtained using recent fast DKI methods requiring only 19 images. At 24 hours post stroke, rat brains were fixed and prepared. The infarct was clearly visible in both MD and MKT maps. The MKT lesion volume was roughly 31% larger than the MD lesion volume. Subsequent histological analysis (hematoxylin) revealed similar lesion volumes to MD. Our study shows that structural components underlying the MD/MKT mismatch can be investigated in fixed tissue and therefore allows a more direct comparison between lesion volumes from MRI and histology. Additionally, the larger MKT infarct lesion indicates that MKT do provide increased sensitivity to microstructural changes in the lesion area compared to MD.

摘要

扩散峰度成像(DKI)是一种新的有前途的 MRI 技术,具有比传统的基于扩散张量(DTI)的方法更高的微观结构敏感性。在中风中,两种方法(DKI 和 DTI)获得的梗死病变轮廓之间存在相当大的不匹配,包括峰度和扩散张量衍生的指标。我们旨在研究这种不匹配是否可以在固定组织中进行检查。我们的研究基于使用最近的仅需要 19 张图像的快速 DKI 方法获得的平均扩散系数(MD)和平均(峰度)张量(MKT)的估计值。在中风后 24 小时,将大鼠的大脑固定并准备好。MD 和 MKT 图谱上均清晰可见梗死灶。MKT 病变体积比 MD 病变体积大约大 31%。随后的组织学分析(苏木精)显示与 MD 相似的病变体积。我们的研究表明,可以在固定组织中研究 MD/MKT 不匹配的结构成分,从而可以更直接地比较 MRI 和组织学的病变体积。此外,较大的 MKT 梗死病变表明,与 MD 相比,MKT 确实为病变区域的微观结构变化提供了更高的敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/672f41b2fd18/pone.0196161.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/700dc87b0be0/pone.0196161.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/c8d9e60900d6/pone.0196161.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/a8e881c2f06e/pone.0196161.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/2bdb4208d07a/pone.0196161.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/672f41b2fd18/pone.0196161.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/700dc87b0be0/pone.0196161.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/c8d9e60900d6/pone.0196161.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/a8e881c2f06e/pone.0196161.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/2bdb4208d07a/pone.0196161.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36a0/5919652/672f41b2fd18/pone.0196161.g005.jpg

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