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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
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Periventricular gradient of T1 tissue alterations in multiple sclerosis
Manuela Vaneckova1, Gian Franco Piredda2, Michaela Andelova3
1Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
Neuroimage. Clinical
|May 13, 2022
Summary
The "surface-in" gradient of brain tissue damage in multiple sclerosis is present even in early stages. This gradient, measured by T1 relaxometry, correlates with physical disability and may serve as an early biomarker for disease activity.
Area of Science:
- Neuroimaging
- Neurology
- Biomarker Discovery
Background:
- Multiple sclerosis (MS) pathology is unevenly distributed, with greater severity observed in areas near cerebrospinal fluid (CSF).
- A
- This study investigates the presence and significance of this gradient in MS.
Purpose of the Study:
- To determine if the
- To compare this gradient between early and progressive MS.
- To assess if gradient-derived MRI metrics correlate better with disability than conventional metrics.
Main Methods:
- Included 47 early MS, 52 progressive MS patients, and 92 controls.
- Utilized 3T 3D T1 relaxometry (Magnetization-Prepared 2 Rapid Acquisition Gradient Echoes) to create normative T1 atlases.
- Analyzed periventricular T1 relaxation time z-scores and correlated them with the Expanded Disability Status Scale (EDSS).
Main Results:
- Both early and progressive MS patients showed a periventricular T1 relaxation time z-score gradient.
- In progressive MS, gradient metrics in normal-appearing white matter (NAWM) correlated more strongly with disability (rho=0.374) than lesion volume (rho=0.189) or count (rho=0.21).
- In early MS, baseline NAWM gradient (z-scores > 2) predicted disability at 2-year follow-up.
Conclusions:
- The
- Periventricular gradients correlate with clinical disability.
- NAWM periventricular gradients show promise as early biomarkers for monitoring MS activity across all phenotypes.

