AI Article Synopsis
- Atrophy of both white and grey matter in the brains of people with multiple sclerosis (pwMS) occurs early and has significant clinical implications, which can be measured using MRI scans and automated software tools like "md brain."
- This study looked at brain volumes from routine MRI scans of 53 pwMS, comparing those with higher disability scores (EDSS ≥ 3.5) and longer disease duration (≥ 10 years) to those with lower scores and shorter disease duration, as well as considering the impact of immunotherapy.
- Results indicated that pwMS with higher EDSS scores and longer disease duration had notably smaller total brain and regional grey matter volumes, particularly in various lobes, and that those not receiving immunotherapy
Article Abstract
Background: Atrophy of white and grey matter volumes occurs early in the brains of people with multiple sclerosis (pwMS) and has great clinical relevance. In clinical trials, brain atrophy can be quantified by magnetic resonance imaging (MRI) with automated software tools.
Methods: In this study, we analyze volumes of various brain regions with the software "md brain" based on routine MRI scans of 53 pwMS in a real-world setting. We compare brain volumes of pwMS with an EDSS ≥ 3.5 and a disease duration ≥ 10 years to the brain volumes of pwMS with an EDSS < 3.5 and a disease duration < 10 years as well as with or without immunotherapy.
Results: pwMS with an EDSS ≥ 3.5 and a disease duration ≥ 10 years had significantly lower volumes of the total brain, the grey matter and of the frontal, temporal, parietal and occipital lobe regions as compared to pwMS with an EDSS < 3.5 and a disease duration < 10 years. Regional brain volumes were significantly lower in pwMS without immunotherapy.
Conclusions: The study showed that higher EDSS, longer disease duration and absence of immunotherapy was associated with lower volumes in a number of brain regions. Further real-world studies may include larger patient cohorts in longitudinal analyses.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11308334 | PMC |
| http://dx.doi.org/10.1186/s42466-024-00339-y | DOI Listing |
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