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Updated: Jun 3, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
Thalamic damage predicts the evolution of primary-progressive multiple sclerosis at 5 years
S Mesaros1, M A Rocca, E Pagani
1Neuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology, University Ospedale San Raffaele, Milan, Italy.
Thalamic damage and white matter changes measured by diffusion tensor imaging (DTI) can predict long-term disability progression in primary progressive multiple sclerosis (PPMS). These imaging markers offer potential for monitoring disease in PPMS patients.
Area of Science:
- Neuroimaging
- Neurology
- Multiple Sclerosis Research
Background:
- Primary progressive multiple sclerosis (PPMS) lacks reliable monitoring markers.
- Thalamic damage and white matter integrity are potential indicators of disease progression.
Purpose of the Study:
- To investigate if conventional and diffusion tensor imaging (DTI) measures of thalamic damage predict long-term disability accumulation in PPMS.
- To identify reliable imaging biomarkers for monitoring PPMS progression.
Main Methods:
- Conventional and DTI brain scans were acquired at baseline and follow-up (15 months) in 54 PPMS patients and 8 controls.
- Clinical reassessment occurred after 5 years.
- Measures included lesion load, brain atrophy, NTV, and MD/FA histograms of normal-appearing white matter (NAWM) and gray matter (GM), including thalami.
Main Results:
- PPMS patients showed lower NTV and thalamic FA, and higher thalamic and GM MD at baseline compared to controls.
- Changes in thalamic FA during follow-up were greater in PPMS patients.
- Multivariate analysis identified average NAWM MD and thalamic FA change as independent predictors of EDSS score deterioration.
Conclusions:
- Short-term thalamic damage accrual and NAWM involvement severity predict long-term disability accumulation in PPMS.
- DTI measures of thalamic and NAWM damage are promising biomarkers for predicting long-term outcomes in PPMS.
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