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Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590140/ https://www.ncbi.nlm.nih.gov/pubmed/30648315 http://dx.doi.org/10.1002/hbm.24510 |
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author | O'Muircheartaigh, Jonathan Vavasour, Irene Ljungberg, Emil Li, David K. B. Rauscher, Alexander Levesque, Victoria Garren, Hideki Clayton, David Tam, Roger Traboulsee, Anthony Kolind, Shannon |
author_facet | O'Muircheartaigh, Jonathan Vavasour, Irene Ljungberg, Emil Li, David K. B. Rauscher, Alexander Levesque, Victoria Garren, Hideki Clayton, David Tam, Roger Traboulsee, Anthony Kolind, Shannon |
author_sort | O'Muircheartaigh, Jonathan |
collection | PubMed |
description | 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(1) and T(2) (mcDESPOT) to measure MWF‐D, magnetization‐transfer imaging to measure magnetization‐transfer ratio (MTR), and T(1) relaxation to measure quantitative T(1) (qT(1)). 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(1) (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. |
format | Online Article Text |
id | pubmed-6590140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65901402019-07-08 Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis O'Muircheartaigh, Jonathan Vavasour, Irene Ljungberg, Emil Li, David K. B. Rauscher, Alexander Levesque, Victoria Garren, Hideki Clayton, David Tam, Roger Traboulsee, Anthony Kolind, Shannon Hum Brain Mapp Research Articles 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(1) and T(2) (mcDESPOT) to measure MWF‐D, magnetization‐transfer imaging to measure magnetization‐transfer ratio (MTR), and T(1) relaxation to measure quantitative T(1) (qT(1)). 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(1) (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. John Wiley & Sons, Inc. 2019-01-15 /pmc/articles/PMC6590140/ /pubmed/30648315 http://dx.doi.org/10.1002/hbm.24510 Text en © 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles O'Muircheartaigh, Jonathan Vavasour, Irene Ljungberg, Emil Li, David K. B. Rauscher, Alexander Levesque, Victoria Garren, Hideki Clayton, David Tam, Roger Traboulsee, Anthony Kolind, Shannon Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis |
title | Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis |
title_full | Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis |
title_fullStr | Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis |
title_full_unstemmed | Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis |
title_short | Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis |
title_sort | quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590140/ https://www.ncbi.nlm.nih.gov/pubmed/30648315 http://dx.doi.org/10.1002/hbm.24510 |
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