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髓鞘水与张量值扩散成像:它们(如何)相关?

Myelin water and tensor-valued diffusion imaging: (How) are they related?

作者信息

Balaji Sharada, Dvorak Adam V, Wiley Neale, MacMillan Erin L, Traboulsee Anthony, Vavasour Irene M, Gilbert Guillaume, Moore G R Wayne, Li David K B, Laule Cornelia, MacKay Alex L, Kolind Shannon

机构信息

Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.

MR Clinical Science, Philips Canada, Mississauga, Ontario, Canada.

出版信息

Magn Reson Med. 2025 Nov;94(5):2038-2056. doi: 10.1002/mrm.30620. Epub 2025 Jul 1.

DOI:10.1002/mrm.30620
PMID:40598716
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12393197/
Abstract

PURPOSE

Conventional MRI offers limited insight into specific characteristics of central nervous system tissue, whereas quantitative MRI measures can provide more detailed information about different aspects of microstructure. A multi-metric approach involving multiple quantitative measures may improve our understanding of healthy tissue and pathology. Previous work shows myelin water fraction (MWF) is related to fractional anisotropy (FA), but this relationship is complicated by confounding factors that may be resolved using tensor-valued diffusion imaging, which yields measurements of microscopic FA (μFA) and tissue heterogeneity (C). Our aims were to better understand how measures from myelin water and tensor-valued diffusion imaging relate to one another, and to demonstrate how these measures can be used to characterize microstructure in both healthy white matter and pathological changes.

METHODS

We assessed the relationship between MWF, FA, μFA, and C from 25 healthy individuals through atlas comparison, correlation analysis, and tract profiling. We also applied z-score analysis and tract profiling in five people with multiple sclerosis (MS) to evaluate the multi-metric utility of these measures in assessing pathology.

RESULTS

Although correlation analysis showed moderate, but potentially misleading relationships between metrics, tract profiling showed consistent tract-specific pattern differences between metrics in healthy tissue. In MS, MWF, μFA, and C were the most sensitive to pathological changes, showing regions of abnormality even in normal-appearing white matter and along lesional tracts, and highlighting different types of damage.

CONCLUSION

Using MWF, μFA, and C to separately assess myelination, anisotropy, and tissue heterogeneity enhances our ability to investigate development, aging, disease, and injury.

摘要

目的

传统磁共振成像(MRI)对中枢神经系统组织的特定特征的洞察有限,而定量MRI测量可以提供有关微观结构不同方面的更详细信息。一种涉及多种定量测量的多指标方法可能会增进我们对健康组织和病理学的理解。先前的研究表明髓磷脂水分数(MWF)与分数各向异性(FA)相关,但这种关系因混杂因素而变得复杂,这些因素可能可以通过张量值扩散成像来解决,张量值扩散成像可产生微观FA(μFA)和组织异质性(C)的测量值。我们的目的是更好地理解髓磷脂水和张量值扩散成像的测量值之间的相互关系,并展示如何使用这些测量值来表征健康白质中的微观结构和病理变化。

方法

我们通过图谱比较、相关性分析和纤维束剖析,评估了25名健康个体的MWF、FA、μFA和C之间的关系。我们还对五名多发性硬化症(MS)患者进行了z分数分析和纤维束剖析,以评估这些测量值在评估病理学方面的多指标效用。

结果

尽管相关性分析显示各指标之间存在中等但可能有误导性的关系,但纤维束剖析显示健康组织中各指标之间存在一致的特定纤维束模式差异。在MS中,MWF、μFA和C对病理变化最为敏感,即使在外观正常的白质和病变纤维束中也显示出异常区域,并突出了不同类型的损伤。

结论

使用MWF、μFA和C分别评估髓鞘形成、各向异性和组织异质性,增强了我们研究发育、衰老、疾病和损伤的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81e9/12393197/cd3aa5faf452/MRM-94-2038-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81e9/12393197/bf4081f6ec73/MRM-94-2038-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81e9/12393197/200ea5983304/MRM-94-2038-g006.jpg
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