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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
Spinal cord versus brain imaging biomarkers of multiple sclerosis trajectory combining 7T and 3T MRI
Alessandro Miscioscia1,2, Constantina A Treaba1,3, Elena Barbuti1,4
1A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA.
Abstract:
In multiple sclerosis, different types of lesions and their localization can have varying effects on clinical disability and disease progression. Ultra-high field 7-Tesla MRI improves the visualization of cortical, especially subpial, lesions and of white matter lesions with a paramagnetic rim that are associated with smoldering inflammation. Spinal cord atrophy is also a critical determinant of clinical disability in multiple sclerosis, but its importance relative to paramagnetic rim and cortical lesions in predicting neurological disability and its progression remains unclear. In this longitudinal study, we aimed to identify the most relevant predictors of both the baseline Expanded Disability Status Scale status and 4-year progression independent of relapse activity in a heterogeneous multiple sclerosis cohort. One-hundred-twelve patients (83 relapsing-remitting and 29 secondary progressive; mean age 42.3 years, mean disease duration 9.8 years) underwent 7-Tesla T2* susceptibility-weighted images to segment paramagnetic rim lesions, non-rim white matter lesions and cortical lesions; 3-Tesla T1-weighted brain MRI images extended to the C2-C3 spinal cord were employed to obtain brain volumes and the spinal cord C2-C3 cross-sectional area using FreeSurfer and Spinal Cord Toolbox. Clinical disability was assessed through the Expanded Disability Status Scale at baseline and, in 97/112 patients (86.6%), after a mean follow-up of 4.0 years. The association between imaging metrics and clinical outcome was evaluated using correlations and regression models, corrected for age, sex, treatment class and clinical follow-up time. The main predictors of baseline Expanded Disability Status Scale were cortical lesion (β = 2.9 × 10-4, P = 0.001), non-rim white matter lesion (β = 1.2 × 10-4, P < 0.001) volumes, brain white matter volume (β = -15.68, P = 0.017) and C2-C3 cross-sectional area (β = -0.68, P = 0.003). At follow-up, 23/97 patients (24%) experienced progression independent of relapse activity. Progression independent of relapse activity was associated with paramagnetic rim lesion volume (odds ratio = 1.0006 per mm³ increase, P = 0.030), cortical lesion volume (odds ratio = 1.0005 per mm³ increase, P = 0.011) and brain white matter volume (odds ratio = 0.97 × 10-20, P < 0.001). However, a stepwise logistic regression model assessing clinical, lesion and atrophy variables identified cortical lesion volume as the strongest independent predictor of progression independent of relapse activity (odds ratio = 1.0006 per mm³ increase, P = 0.005). In multiple sclerosis, different imaging biomarkers contribute differently to current disability and progression independent of relapse activity. Spinal cord atrophy mainly explains the current Expanded Disability Status Scale, while brain white matter atrophy and paramagnetic rim lesions provide additional insights into future disability trajectory. Among all markers, cortical lesions emerged as the main driver for progression independent of relapse activity.
Insights
Cortical lesions are the primary driver of disability progression in multiple sclerosis, independent of relapses. Spinal cord atrophy predicts current disability, while brain atrophy and rim lesions offer insights into future disease trajectory.
Area of Science:
- Neuroimaging
- Neurology
- Radiology
Background:
- Multiple sclerosis (MS) involves diverse lesions impacting disability and progression.
- Cortical and white matter lesions, along with spinal cord atrophy, are key MRI markers in MS.
- The relative importance of spinal cord atrophy versus paramagnetic rim and cortical lesions in predicting MS disability progression remains unclear.
Purpose of the Study:
- To identify the most relevant predictors of baseline Expanded Disability Status Scale (EDSS) and 4-year progression independent of relapse activity (PIRA) in a heterogeneous MS cohort.
- To compare the predictive power of different MRI-derived metrics, including lesion types and atrophy, for clinical outcomes in MS.
Main Methods:
- A longitudinal study involving 112 MS patients (83 RRMS, 29 SPMS).
- Utilized 7-Tesla T2* susceptibility-weighted imaging for paramagnetic rim, non-rim white matter, and cortical lesions.
- Employed 3-Tesla T1-weighted MRI for brain volumes and C2-C3 spinal cord cross-sectional area.
- Assessed EDSS at baseline and after a mean 4.0-year follow-up; analyzed associations using regression models.
Main Results:
- Baseline EDSS predictors included cortical lesion volume, non-rim white matter lesion volume, brain white matter volume, and C2-C3 spinal cord cross-sectional area.
- Progression independent of relapse activity (PIRA) was associated with paramagnetic rim lesion volume, cortical lesion volume, and brain white matter volume.
- Cortical lesion volume was identified as the strongest independent predictor of PIRA (OR = 1.0006 per mm³ increase, P = 0.005).
Conclusions:
- Different imaging biomarkers differentially contribute to current disability and PIRA in MS.
- Spinal cord atrophy primarily explains current EDSS, while brain white matter atrophy and paramagnetic rim lesions provide insights into future disability.
- Cortical lesions are the principal driver of progression independent of relapse activity in multiple sclerosis.
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