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Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis
V. Ravano, GF. Piredda, J. Krasensky, M. Andelova, T. Uher, B. Srpova, EK. Havrdova, K. Vodehnalova, D. Horakova, P. Nytrova, JA. Disselhorst, T. Hilbert, B. Maréchal, JP. Thiran, T. Kober, J. Richiardi, M. Vaneckova
Language English Country Germany
Document type Journal Article
Grant support
NTC03706118
Roche
NU 22-04-00193
Czech Ministry of Health
Project Cooperation LF1 - reasearch area Neuroscience
Czech Ministry of Education
RVO VFN 64165
Charles University and General University Hospital in Prague
NLK
ProQuest Central
from 1997-04-01 to 1 year ago
Medline Complete (EBSCOhost)
from 2000-01-01 to 1 year ago
Health & Medicine (ProQuest)
from 1997-04-01 to 1 year ago
- MeSH
- White Matter * diagnostic imaging pathology MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods MeSH
- Brain diagnostic imaging pathology MeSH
- Cross-Sectional Studies MeSH
- Multiple Sclerosis * diagnostic imaging pathology MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
OBJECTIVES: Microstructural characterization of patients with multiple sclerosis (MS) has been shown to correlate better with disability compared to conventional radiological biomarkers. Quantitative MRI provides effective means to characterize microstructural brain tissue changes both in lesions and normal-appearing brain tissue. However, the impact of the location of microstructural alterations in terms of neuronal pathways has not been thoroughly explored so far. Here, we study the extent and the location of tissue changes probed using quantitative MRI along white matter (WM) tracts extracted from a connectivity atlas. METHODS: We quantified voxel-wise T1 tissue alterations compared to normative values in a cohort of 99 MS patients. For each WM tract, we extracted metrics reflecting tissue alterations both in lesions and normal-appearing WM and correlated these with cross-sectional disability and disability evolution after 2 years. RESULTS: In early MS patients, T1 alterations in normal-appearing WM correlated better with disability evolution compared to cross-sectional disability. Further, the presence of lesions in supratentorial tracts was more strongly associated with cross-sectional disability, while microstructural alterations in infratentorial pathways yielded higher correlations with disability evolution. In progressive patients, all major WM pathways contributed similarly to explaining disability, and correlations with disability evolution were generally poor. CONCLUSIONS: We showed that microstructural changes evaluated in specific WM pathways contribute to explaining future disability in early MS, hence highlighting the potential of tract-wise analyses in monitoring disease progression. Further, the proposed technique allows to estimate WM tract-specific microstructural characteristics in clinically compatible acquisition times, without the need for advanced diffusion imaging.
Advanced Clinical Imaging Technology Siemens Healthineers International AG Lausanne Switzerland
Department of Radiology Lausanne University Hospital and University of Lausanne Lausanne Switzerland
LTS5 École Polytechnique Fédérale de Lausanne Lausanne Switzerland
References provided by Crossref.org
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- $a OBJECTIVES: Microstructural characterization of patients with multiple sclerosis (MS) has been shown to correlate better with disability compared to conventional radiological biomarkers. Quantitative MRI provides effective means to characterize microstructural brain tissue changes both in lesions and normal-appearing brain tissue. However, the impact of the location of microstructural alterations in terms of neuronal pathways has not been thoroughly explored so far. Here, we study the extent and the location of tissue changes probed using quantitative MRI along white matter (WM) tracts extracted from a connectivity atlas. METHODS: We quantified voxel-wise T1 tissue alterations compared to normative values in a cohort of 99 MS patients. For each WM tract, we extracted metrics reflecting tissue alterations both in lesions and normal-appearing WM and correlated these with cross-sectional disability and disability evolution after 2 years. RESULTS: In early MS patients, T1 alterations in normal-appearing WM correlated better with disability evolution compared to cross-sectional disability. Further, the presence of lesions in supratentorial tracts was more strongly associated with cross-sectional disability, while microstructural alterations in infratentorial pathways yielded higher correlations with disability evolution. In progressive patients, all major WM pathways contributed similarly to explaining disability, and correlations with disability evolution were generally poor. CONCLUSIONS: We showed that microstructural changes evaluated in specific WM pathways contribute to explaining future disability in early MS, hence highlighting the potential of tract-wise analyses in monitoring disease progression. Further, the proposed technique allows to estimate WM tract-specific microstructural characteristics in clinically compatible acquisition times, without the need for advanced diffusion imaging.
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