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Measuring Progressive Neurological Disability in a Mouse Model of Multiple Sclerosis
Published on: November 14, 2016
Restriction spectrum imaging of white matter and its relation to neurological disability in multiple sclerosis
Piotr Sowa1, Hanne F Harbo2, Nathan S White3
1Division of Radiology & Nuclear Medicine, Oslo University Hospital, Oslo, Norway/Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Background:
Restriction spectrum imaging (RSI) is a recently introduced magnetic resonance imaging diffusion technique. The utility of RSI in multiple sclerosis (MS) is unknown.
Objective:
To investigate the association between RSI-derived parameters and neurological disability in MS.
Methods:
Seventy-seven relapsing-remitting MS patients were scanned with RSI on a 3-T scanner. RSI-derived parameters: fast and slow apparent diffusion coefficient (sADC), fractional anisotropy, restricted fractional anisotropy, neurite density (ND), cellularity, extracellular water fraction, and free water fraction, were obtained in white matter lesions (WML) and normal appearing white matter (NAWM). Patients were divided into three groups according to their expanded disability status scale (EDSS): with minimal, low, and substantial disability (<2.5, 2.5-3, and >3, respectively). Group comparisons and correlation analyses were performed.
Results:
All tested RSI-derived parameters differed between WML and NAWM ( p < 0.001 for all pairwise comparisons). The sADC in WML showed largest difference across disability subgroups (analysis of variance (ANOVA): F = 5.1, η2 = 0.12, p = 0.008). ND in NAWM showed strongest correlation with disability (ϱ = -0.39, p < 0.001).
Conclusion:
The strongest correlation with EDSS of ND obtained in NAWM indicates that processes outside lesions are important for disability in MS. Our study suggests that RSI-derived parameters may help understand the "clinico-radiological paradox" and improve disease monitoring in MS.
Insights
Restriction spectrum imaging (RSI) reveals that neurite density in normal-appearing white matter strongly correlates with multiple sclerosis (MS) disability. These findings suggest RSI parameters may help understand MS progression and monitor disease.
Area of Science:
- Neurology
- Radiology
- Biomedical Engineering
Background:
- Restriction spectrum imaging (RSI) is an advanced magnetic resonance imaging diffusion technique.
- The application of RSI in multiple sclerosis (MS) has not been previously explored.
Purpose of the Study:
- To investigate the relationship between RSI-derived metrics and neurological disability in MS patients.
Main Methods:
- Seventy-seven relapsing-remitting MS patients underwent RSI scanning.
- RSI parameters were analyzed in white matter lesions (WML) and normal-appearing white matter (NAWM).
- Patients were stratified by Expanded Disability Status Scale (EDSS) to assess disability correlations.
Main Results:
- Significant differences in all RSI parameters were observed between WML and NAWM.
- Slow apparent diffusion coefficient (sADC) in WML showed the most significant variation across disability groups.
- Neurite density (ND) in NAWM demonstrated the strongest correlation with patient disability (ϱ = -0.39, p < 0.001).
Conclusions:
- Neurological disability in MS is influenced by processes occurring outside of visible lesions.
- RSI-derived parameters show potential for elucidating the clinico-radiological paradox in MS.
- RSI may offer improved methods for monitoring MS disease progression.
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