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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
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White matter tract density index is associated with disability in multiple sclerosis
Minhoe Kim1, Ji Won Seo2, Myung Sub Kim3
1Computer Convergence Software Department, Korea University, Sejong, Republic of Korea.
Neurobiology of Disease
|June 2, 2024
Summary
The tract density index (TDI) in multiple sclerosis (MS) lesions correlates with patient disability. This new metric may help predict outcomes by linking brain imaging to clinical practice.
Area of Science:
- Neuroimaging
- Neurology
- Biomedical Engineering
Background:
- The link between standard multiple sclerosis (MS) imaging markers and clinical disability is often weak.
- Brain structural connectivity may influence disability in MS patients.
Purpose of the Study:
- To investigate the association between white matter tracts affected by MS and patient disability.
- To introduce and utilize a novel tract density index (TDI) for this examination.
Main Methods:
- Included 53 MS patients diagnosed between 2019-2020.
- Calculated TDI by segmenting MS lesions on FLAIR images and assessing white matter tract density.
- Used correlation analysis and partial correlation networks to examine relationships between TDI, disability (EDSS), and network metrics.
Main Results:
- TDI showed a significant correlation with the Expanded Disability Status Scale (EDSS) (r=0.30, p=0.03).
- TDI served as a key link between lesion-derived network metrics and patient disability.
Conclusions:
- MS lesions in areas of high white matter tract density are associated with greater physical disability.
- TDI shows potential as a predictive outcome measure, bridging imaging findings and clinical application in MS.
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