AI Article Synopsis

  • Multiple sclerosis (MS) is a significant cause of disability in young adults, leading to inflammation and damage in the brain and spinal cord.
  • A study aimed to analyze white matter damage in Brazilian MS patients using diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) techniques.
  • Results indicated that MS patients showed worse white matter integrity compared to controls, especially after the first 5 years of the disease, suggesting early treatment could help mitigate long-term disability.

Article Abstract

Background: Multiple sclerosis (MS) is an important cause of acquired neurological disability in young adults, characterized by multicentric inflammation, demyelination, and axonal damage.

Objective: The objective is to investigate white matter (WM) damage progression in a Brazilian MS patient cohort, using diffusion tensor imaging (DTI) post-processed by tract-based spatial statistics (TBSS).

Methods: DTI scans were acquired from 76 MS patients and 37 sex-and-age matched controls. Patients were divided into three groups based on disease duration. DTI was performed along 30 non-collinear directions by using a 1.5T imager. For TBSS analysis, the WM skeleton was created, and a 5000 permutation-based inference with a threshold of < .05 was used, to enable the identification of abnormalities in fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD).

Results: Decreased FA and increased RD, MD, and AD were seen in patients compared to controls and a decreased FA and increased MD and RD were seen, predominantly after the first 5 years of disease, when compared between groups.

Conclusion: Progressive WM deterioration is seen over time with a more prominent pattern after 5 years of disease onset, providing evidence that the early years might be a window to optimize treatment and prevent disability.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10863572PMC
http://dx.doi.org/10.1177/19714009231212372DOI Listing

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