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健康大脑和多发性硬化症中的髓鞘的定量神经影像学测量。

Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis.

机构信息

Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom.

Centre for the Developing Brain, Department of Perinatal Imaging and Health, St. Thomas' Hospital, King's College London, London, United Kingdom.

出版信息

Hum Brain Mapp. 2019 May;40(7):2104-2116. doi: 10.1002/hbm.24510. Epub 2019 Jan 15.


DOI:10.1002/hbm.24510
PMID:30648315
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6590140/
Abstract

Quantitative magnetic resonance imaging (MRI) techniques have been developed as imaging biomarkers, aiming to improve the specificity of MRI to underlying pathology compared to conventional weighted MRI. For assessing the integrity of white matter (WM), myelin, in particular, several techniques have been proposed and investigated individually. However, comparisons between these methods are lacking. In this study, we compared four established myelin-sensitive MRI techniques in 56 patients with relapsing-remitting multiple sclerosis (MS) and 38 healthy controls. We used T2-relaxation with combined GRadient And Spin Echoes (GRASE) to measure myelin water fraction (MWF-G), multi-component driven equilibrium single pulse observation of T and T (mcDESPOT) to measure MWF-D, magnetization-transfer imaging to measure magnetization-transfer ratio (MTR), and T relaxation to measure quantitative T (qT ). Using voxelwise Spearman correlations, we tested the correspondence of methods throughout the brain. All four methods showed associations that varied across tissue types; the highest correlations were found between MWF-D and qT (median ρ across tissue classes 0.8) and MWF-G and MWF-D (median ρ = 0.59). In eight WM tracts, all measures showed differences (p < 0.05) between MS normal-appearing WM and healthy control WM, with qT1 showing the highest number of different regions (8), followed by MWF-D and MTR (6), and MWF-G (n = 4). Comparing the methods in terms of their statistical sensitivity to MS lesions in WM, MWF-D demonstrated the best accuracy (p < 0.05, after multiple comparison correction). To aid future power analysis, we provide the average and standard deviation volumes of the four techniques, estimated from the healthy control sample.

摘要

定量磁共振成像(MRI)技术已被开发为成像生物标志物,旨在提高 MRI 对潜在病理的特异性,与传统的加权 MRI 相比。为了评估白质(WM)的完整性,特别是髓鞘,已经提出并单独研究了几种技术。然而,这些方法之间缺乏比较。在这项研究中,我们在 56 例复发缓解型多发性硬化症(MS)患者和 38 名健康对照者中比较了四种已建立的髓鞘敏感 MRI 技术。我们使用 T2 弛豫与组合梯度和自旋回波(GRASE)来测量髓鞘水分数(MWF-G),多分量驱动平衡单脉冲观察 T 和 T(mcDESPOT)来测量 MWF-D,磁化传递成像来测量磁化传递比(MTR),以及 T 弛豫来测量定量 T(qT)。使用体素间 Spearman 相关,我们测试了整个大脑中方法的对应关系。所有四种方法都显示了不同组织类型之间的关联;MWF-D 和 qT 之间的相关性最高(组织类型中位数ρ为 0.8),MWF-G 和 MWF-D 之间的相关性最高(中位数ρ为 0.59)。在 8 个 WM 束中,所有测量值在 MS 正常表现 WM 和健康对照 WM 之间均存在差异(p<0.05),qT1 显示的不同区域最多(8 个),其次是 MWF-D 和 MTR(6 个),以及 MWF-G(n=4)。在比较方法在 WM 中对 MS 病变的统计敏感性方面,MWF-D 表现出最佳的准确性(p<0.05,经多次比较校正)。为了帮助未来的功率分析,我们从健康对照组样本中提供了四种技术的平均和标准偏差体积。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/23fa5fc29396/HBM-40-2104-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/1c125c155200/HBM-40-2104-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/e815c6655b99/HBM-40-2104-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/d7a53688dbf0/HBM-40-2104-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/4eed373754ba/HBM-40-2104-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/9e206d041aea/HBM-40-2104-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/23fa5fc29396/HBM-40-2104-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/1c125c155200/HBM-40-2104-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/e815c6655b99/HBM-40-2104-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/d7a53688dbf0/HBM-40-2104-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/4eed373754ba/HBM-40-2104-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/9e206d041aea/HBM-40-2104-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f94/6865427/23fa5fc29396/HBM-40-2104-g006.jpg

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[5]
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[7]
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[8]
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[9]
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本文引用的文献

[1]
Magnetic Resonance of Myelin Water: An  Marker for Myelin.

Brain Plast. 2016-12-21

[2]
Cortical Gray Matter MR Imaging in Multiple Sclerosis.

Neuroimaging Clin N Am. 2017-5

[3]
Ocrelizumab versus Interferon Beta-1a in Relapsing Multiple Sclerosis.

N Engl J Med. 2016-12-21

[4]
Progressive multiple sclerosis: prospects for disease therapy, repair, and restoration of function.

Lancet. 2016-11-24

[5]
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PeerJ. 2016-11-1

[6]
Heterogeneity of Multiple Sclerosis Lesions in Multislice Myelin Water Imaging.

PLoS One. 2016-3-18

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Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.

IEEE Trans Med Imaging. 2016-2-11

[8]
Ultra-high field MTR and qR2* differentiates subpial cortical lesions from normal-appearing gray matter in multiple sclerosis.

Mult Scler. 2015-12-16

[9]
Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging.

Neurobiol Aging. 2014-8

[10]
Myelin and iron concentration in the human brain: a quantitative study of MRI contrast.

Neuroimage. 2014-3-6

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