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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
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Quantitative evaluation of cerebral white matter in patients with multiple sclerosis using multicomponent T2 mapping
Eva Baranovicova1, Vladimir Mlynarik2, Ema Kantorova3
1a Jessenius Faculty of Medicine, Biomedical Centre BioMed, Division of Neuroscience , Comenius University , Martin , Slovakia.
Neurological Research
|April 15, 2016
Summary
Multicomponent T2 mapping of white matter (WM) in multiple sclerosis (MS) reveals distinct water pools that correlate with disease progression and age. This advanced MRI technique shows promise for monitoring MS.
Area of Science:
- Neuroimaging
- Biophysics
- Clinical Neurology
Background:
- Standard magnetic resonance imaging (MRI) for white matter (WM) pathology in multiple sclerosis (MS) has limitations in correlating imaging findings with clinical outcomes.
- Characterizing normal-appearing white matter (NAWM) and lesions requires advanced techniques to understand the relationship between tissue properties and disease severity.
Purpose of the Study:
- To utilize multicomponent T2 mapping to characterize WM, including NAWM and MS lesions.
- To investigate the relationship between T2 relaxation times, age, and disease severity (Expanded Disability Status Scale - EDSS) in MS patients.
Main Methods:
- Twenty-nine MS patients and 27 healthy controls underwent MRI with T2 mapping of WM.
- The relative abundance of different T2 water pools was analyzed.
- Correlations between T2 values, age, and EDSS were performed.
Main Results:
- Increased T2 values associated with myelin-bound water were observed with age in both healthy controls and MS patients.
- Decreased T2 values related to intra- and extracellular water were found with age and higher EDSS in MS patients.
- A significant increase in mixed water pools (T2 > 110 ms) strongly correlated with higher EDSS in MS patients.
Conclusions:
- Multicomponent T2 mapping provides valuable insights into WM changes in MS.
- This technique can serve as a useful biomarker for monitoring MS progression.

