Cargando…
Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study
INTRODUCTION: Quantitative MRI quantifies tissue microstructural properties and supports the characterization of cerebral tissue damages. With an MPM protocol, 4 parameter maps are constructed: MTsat, PD, R1 and R2*, reflecting tissue physical properties associated with iron and myelin contents. Thu...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176005/ https://www.ncbi.nlm.nih.gov/pubmed/37078406 http://dx.doi.org/10.1002/brb3.2923 |
_version_ | 1785040341330558976 |
---|---|
author | Vandeleene, Nora Guillemin, Camille Dauby, Solène Requier, Florence Charonitis, Maëlle Chylinski, Daphne Balteau, Evelyne Maquet, Pierre Lommers, Emilie Phillips, Christophe |
author_facet | Vandeleene, Nora Guillemin, Camille Dauby, Solène Requier, Florence Charonitis, Maëlle Chylinski, Daphne Balteau, Evelyne Maquet, Pierre Lommers, Emilie Phillips, Christophe |
author_sort | Vandeleene, Nora |
collection | PubMed |
description | INTRODUCTION: Quantitative MRI quantifies tissue microstructural properties and supports the characterization of cerebral tissue damages. With an MPM protocol, 4 parameter maps are constructed: MTsat, PD, R1 and R2*, reflecting tissue physical properties associated with iron and myelin contents. Thus, qMRI is a good candidate for in vivo monitoring of cerebral damage and repair mechanisms related to MS. Here, we used qMRI to investigate the longitudinal microstructural changes in MS brain. METHODS: Seventeen MS patients (age 25–65, 11 RRMS) were scanned on a 3T MRI, in two sessions separated with a median of 30 months, and the parameters evolution was evaluated within several tissue classes: NAWM, NACGM and NADGM, as well as focal WM lesions. An individual annual rate of change for each qMRI parameter was computed, and its correlation to clinical status was evaluated. For WM plaques, three areas were defined, and a GLMM tested the effect of area, time points, and their interaction on each median qMRI parameter value. RESULTS: Patients with a better clinical evolution, that is, clinically stable or improving state, showed positive annual rate of change in MTsat and R2* within NAWM and NACGM, suggesting repair mechanisms in terms of increased myelin content and/or axonal density as well as edema/inflammation resorption. When examining WM lesions, qMRI parameters within surrounding NAWM showed microstructural modifications, even before any focal lesion is visible on conventional FLAIR MRI. CONCLUSION: The results illustrate the benefit of multiple qMRI data in monitoring subtle changes within normal appearing brain tissues and plaque dynamics in relation with tissue repair or disease progression. |
format | Online Article Text |
id | pubmed-10176005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101760052023-05-13 Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study Vandeleene, Nora Guillemin, Camille Dauby, Solène Requier, Florence Charonitis, Maëlle Chylinski, Daphne Balteau, Evelyne Maquet, Pierre Lommers, Emilie Phillips, Christophe Brain Behav Original Articles INTRODUCTION: Quantitative MRI quantifies tissue microstructural properties and supports the characterization of cerebral tissue damages. With an MPM protocol, 4 parameter maps are constructed: MTsat, PD, R1 and R2*, reflecting tissue physical properties associated with iron and myelin contents. Thus, qMRI is a good candidate for in vivo monitoring of cerebral damage and repair mechanisms related to MS. Here, we used qMRI to investigate the longitudinal microstructural changes in MS brain. METHODS: Seventeen MS patients (age 25–65, 11 RRMS) were scanned on a 3T MRI, in two sessions separated with a median of 30 months, and the parameters evolution was evaluated within several tissue classes: NAWM, NACGM and NADGM, as well as focal WM lesions. An individual annual rate of change for each qMRI parameter was computed, and its correlation to clinical status was evaluated. For WM plaques, three areas were defined, and a GLMM tested the effect of area, time points, and their interaction on each median qMRI parameter value. RESULTS: Patients with a better clinical evolution, that is, clinically stable or improving state, showed positive annual rate of change in MTsat and R2* within NAWM and NACGM, suggesting repair mechanisms in terms of increased myelin content and/or axonal density as well as edema/inflammation resorption. When examining WM lesions, qMRI parameters within surrounding NAWM showed microstructural modifications, even before any focal lesion is visible on conventional FLAIR MRI. CONCLUSION: The results illustrate the benefit of multiple qMRI data in monitoring subtle changes within normal appearing brain tissues and plaque dynamics in relation with tissue repair or disease progression. John Wiley and Sons Inc. 2023-04-20 /pmc/articles/PMC10176005/ /pubmed/37078406 http://dx.doi.org/10.1002/brb3.2923 Text en © 2023 The Authors. Brain and Behavior published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Vandeleene, Nora Guillemin, Camille Dauby, Solène Requier, Florence Charonitis, Maëlle Chylinski, Daphne Balteau, Evelyne Maquet, Pierre Lommers, Emilie Phillips, Christophe Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study |
title | Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study |
title_full | Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study |
title_fullStr | Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study |
title_full_unstemmed | Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study |
title_short | Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study |
title_sort | using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: a longitudinal study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176005/ https://www.ncbi.nlm.nih.gov/pubmed/37078406 http://dx.doi.org/10.1002/brb3.2923 |
work_keys_str_mv | AT vandeleenenora usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT guillemincamille usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT daubysolene usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT requierflorence usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT charonitismaelle usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT chylinskidaphne usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT balteauevelyne usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT maquetpierre usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT lommersemilie usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy AT phillipschristophe usingquantitativemagneticresonanceimagingtotrackcerebralalterationsinmultiplesclerosisbrainalongitudinalstudy |