Cargando…
Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
Multiple sclerosis is a neurodegenerative and inflammatory disease, a hallmark of which is demyelinating lesions in the white matter. We hypothesized that alterations in white matter microstructures can be non-invasively characterized by advanced diffusion magnetic resonance imaging. Seven diffusion...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262996/ https://www.ncbi.nlm.nih.gov/pubmed/30531085 http://dx.doi.org/10.4103/1673-5374.243716 |
_version_ | 1783375215134244864 |
---|---|
author | Mustafi, Sourajit M. Harezlak, Jaroslaw Kodiweera, Chandana Randolph, Jennifer S. Ford, James C. Wishart, Heather A. Wu, Yu-Chien |
author_facet | Mustafi, Sourajit M. Harezlak, Jaroslaw Kodiweera, Chandana Randolph, Jennifer S. Ford, James C. Wishart, Heather A. Wu, Yu-Chien |
author_sort | Mustafi, Sourajit M. |
collection | PubMed |
description | Multiple sclerosis is a neurodegenerative and inflammatory disease, a hallmark of which is demyelinating lesions in the white matter. We hypothesized that alterations in white matter microstructures can be non-invasively characterized by advanced diffusion magnetic resonance imaging. Seven diffusion metrics were extracted from hybrid diffusion imaging acquisitions via classic diffusion tensor imaging, neurite orientation dispersion and density imaging, and q-space imaging. We investigated the sensitivity of the diffusion metrics in 36 sets of regions of interest in the brain white matter of six female patients (age 52.8 ± 4.3 years) with multiple sclerosis. Each region of interest set included a conventional T2-defined lesion, a matched perilesion area, and normal-appearing white matter. Six patients with multiple sclerosis (n = 5) or clinically isolated syndrome (n = 1) at a mild to moderate disability level were recruited. The patients exhibited microstructural alterations from normal-appearing white matter transitioning to perilesion areas and lesions, consistent with decreased tissue restriction, decreased axonal density, and increased classic diffusion tensor imaging diffusivity. The findings suggest that diffusion compartment modeling and q-space analysis appeared to be sensitive for detecting subtle microstructural alterations between perilesion areas and normal-appearing white matter. |
format | Online Article Text |
id | pubmed-6262996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-62629962019-01-01 Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging Mustafi, Sourajit M. Harezlak, Jaroslaw Kodiweera, Chandana Randolph, Jennifer S. Ford, James C. Wishart, Heather A. Wu, Yu-Chien Neural Regen Res Research Article Multiple sclerosis is a neurodegenerative and inflammatory disease, a hallmark of which is demyelinating lesions in the white matter. We hypothesized that alterations in white matter microstructures can be non-invasively characterized by advanced diffusion magnetic resonance imaging. Seven diffusion metrics were extracted from hybrid diffusion imaging acquisitions via classic diffusion tensor imaging, neurite orientation dispersion and density imaging, and q-space imaging. We investigated the sensitivity of the diffusion metrics in 36 sets of regions of interest in the brain white matter of six female patients (age 52.8 ± 4.3 years) with multiple sclerosis. Each region of interest set included a conventional T2-defined lesion, a matched perilesion area, and normal-appearing white matter. Six patients with multiple sclerosis (n = 5) or clinically isolated syndrome (n = 1) at a mild to moderate disability level were recruited. The patients exhibited microstructural alterations from normal-appearing white matter transitioning to perilesion areas and lesions, consistent with decreased tissue restriction, decreased axonal density, and increased classic diffusion tensor imaging diffusivity. The findings suggest that diffusion compartment modeling and q-space analysis appeared to be sensitive for detecting subtle microstructural alterations between perilesion areas and normal-appearing white matter. Medknow Publications & Media Pvt Ltd 2019-01 /pmc/articles/PMC6262996/ /pubmed/30531085 http://dx.doi.org/10.4103/1673-5374.243716 Text en Copyright: © Neural Regeneration Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Research Article Mustafi, Sourajit M. Harezlak, Jaroslaw Kodiweera, Chandana Randolph, Jennifer S. Ford, James C. Wishart, Heather A. Wu, Yu-Chien Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging |
title | Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging |
title_full | Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging |
title_fullStr | Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging |
title_full_unstemmed | Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging |
title_short | Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging |
title_sort | detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262996/ https://www.ncbi.nlm.nih.gov/pubmed/30531085 http://dx.doi.org/10.4103/1673-5374.243716 |
work_keys_str_mv | AT mustafisourajitm detectingwhitematteralterationsinmultiplesclerosisusingadvanceddiffusionmagneticresonanceimaging AT harezlakjaroslaw detectingwhitematteralterationsinmultiplesclerosisusingadvanceddiffusionmagneticresonanceimaging AT kodiweerachandana detectingwhitematteralterationsinmultiplesclerosisusingadvanceddiffusionmagneticresonanceimaging AT randolphjennifers detectingwhitematteralterationsinmultiplesclerosisusingadvanceddiffusionmagneticresonanceimaging AT fordjamesc detectingwhitematteralterationsinmultiplesclerosisusingadvanceddiffusionmagneticresonanceimaging AT wishartheathera detectingwhitematteralterationsinmultiplesclerosisusingadvanceddiffusionmagneticresonanceimaging AT wuyuchien detectingwhitematteralterationsinmultiplesclerosisusingadvanceddiffusionmagneticresonanceimaging |