Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study
Abstract 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 conte...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-05-01
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| Series: | Brain and Behavior |
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| Online Access: | https://doi.org/10.1002/brb3.2923 |
| _version_ | 1797828972917030912 |
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| author | Nora Vandeleene Camille Guillemin Solène Dauby Florence Requier Maëlle Charonitis Daphne Chylinski Evelyne Balteau Pierre Maquet Emilie Lommers Christophe Phillips |
| author_facet | Nora Vandeleene Camille Guillemin Solène Dauby Florence Requier Maëlle Charonitis Daphne Chylinski Evelyne Balteau Pierre Maquet Emilie Lommers Christophe Phillips |
| author_sort | Nora Vandeleene |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-09T13:12:58Z |
| format | Article |
| id | doaj.art-f760a0b453ba4315a8bf00e7ce783b65 |
| institution | Directory Open Access Journal |
| issn | 2162-3279 |
| language | English |
| last_indexed | 2024-04-09T13:12:58Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Brain and Behavior |
| spelling | doaj.art-f760a0b453ba4315a8bf00e7ce783b652023-05-12T06:32:34ZengWileyBrain and Behavior2162-32792023-05-01135n/an/a10.1002/brb3.2923Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal studyNora Vandeleene0Camille Guillemin1Solène Dauby2Florence Requier3Maëlle Charonitis4Daphne Chylinski5Evelyne Balteau6Pierre Maquet7Emilie Lommers8Christophe Phillips9GIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumGIGA CRC In Vivo Imaging University of Liège Liège BelgiumAbstract 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.https://doi.org/10.1002/brb3.2923longitudinal analysismultiple sclerosisquantitative MRIrelaxometry |
| spellingShingle | Nora Vandeleene Camille Guillemin Solène Dauby Florence Requier Maëlle Charonitis Daphne Chylinski Evelyne Balteau Pierre Maquet Emilie Lommers Christophe Phillips Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study Brain and Behavior longitudinal analysis multiple sclerosis quantitative MRI relaxometry |
| 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 | longitudinal analysis multiple sclerosis quantitative MRI relaxometry |
| url | https://doi.org/10.1002/brb3.2923 |
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