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Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis
V. Ravano, M. Andelova, GF. Piredda, S. Sommer, S. Caneschi, L. Roccaro, J. Krasensky, M. Kudrna, T. Uher, RA. Corredor-Jerez, JA. Disselhorst, B. Maréchal, T. Hilbert, JP. Thiran, J. Richiardi, D. Horakova, M. Vaneckova, T. Kober
Jazyk angličtina Země Německo
Typ dokumentu časopisecké články
Grantová podpora
NTC03706118
Roche
NU 22-04-001
Czech Ministry of Health
RVO VFN 64165
Charles University Hospital Prague
Project cooperation LF1
Czech Ministry of Education
NLK
ProQuest Central
od 1997-04-01 do Před 1 rokem
Medline Complete (EBSCOhost)
od 2000-01-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 1997-04-01 do Před 1 rokem
- MeSH
- dospělí MeSH
- fenotyp * MeSH
- lidé středního věku MeSH
- lidé MeSH
- longitudinální studie MeSH
- magnetická rezonanční tomografie MeSH
- mozek diagnostické zobrazování patologie MeSH
- multiparametrická magnetická rezonance MeSH
- progrese nemoci MeSH
- průřezové studie MeSH
- roztroušená skleróza * diagnostické zobrazování patologie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND AND OBJECTIVES: In multiple sclerosis (MS), slowly expanding lesions were shown to be associated with worse disability and prognosis. Their timely detection from cross-sectional data at early disease stages could be clinically relevant to inform treatment planning. Here, we propose to use multiparametric, quantitative MRI to allow a better cross-sectional characterization of lesions with different longitudinal phenotypes. METHODS: We analysed T1 and T2 relaxometry maps from a longitudinal cohort of MS patients. Lesions were classified as enlarging, shrinking, new or stable based on their longitudinal volumetric change using a newly developed automated technique. Voxelwise deviations were computed as z-scores by comparing individual patient data to T1, T2 and T2/T1 normative values from healthy subjects. We studied the distribution of microstructural properties inside lesions and within perilesional tissue. RESULTS AND CONCLUSIONS: Stable lesions exhibited the highest T1 and T2 z-scores in lesion tissue, while the lowest values were observed for new lesions. Shrinking lesions presented the highest T1 z-scores in the first perilesional ring while enlarging lesions showed the highest T2 z-scores in the same region. Finally, a classification model was trained to predict the longitudinal lesion type based on microstructural metrics and feature importance was assessed. Z-scores estimated in lesion and perilesional tissue from T1, T2 and T2/T1 quantitative maps carry discriminative and complementary information to classify longitudinal lesion phenotypes, hence suggesting that multiparametric MRI approaches are essential for a better understanding of the pathophysiological mechanisms underlying disease activity in MS lesions.
Department of Radiology Lausanne University Hospital and University of Lausanne Lausanne Switzerland
LTS5 École Polytechnique Fédérale de Lausanne Lausanne Switzerland
Swiss Center for Muscoloskeletal Imaging Balgrist Campus Zurich Switzerland
Citace poskytuje Crossref.org
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