A potential tool for the diagnosis of ALS based on diffusion tensor imaging

Area of Science:

• Neuroimaging
• Neurology
• Biomedical Engineering

Background:

• Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease.
• Understanding white matter (WM) changes is crucial for ALS diagnosis and management.
• Upper motor neuron (UMN) signs are key indicators in ALS diagnosis.

Purpose of the Study:

• To quantify and understand WM impairment in ALS patients using diffusion tensor imaging (DTI).
• To develop a DTI-based model for diagnosing suspected ALS with UMN signs.

Main Methods:

• Diffusion tensor imaging (DTI) was performed on 26 ALS patients and 22 healthy controls.
• Data analysis included voxel-based WM tract-based spatial statistics (TBSS) and streamline tractography.
• A discriminant analysis model was created using tractography results.

Main Results:

• Significant WM impairment was detected along the corticospinal tracts and in the corpus callosum of ALS patients.
• Reduced fractional anisotropy (FA) due to increased radial diffusivity (RD) was observed.
• The DTI-based model achieved 87.5% sensitivity and 85% specificity in distinguishing UMN-affected ALS patients from controls.

Conclusions:

• DTI is effective in detecting WM impairment in various brain regions in ALS patients.
• DTI shows potential as a sensitive tool for early diagnosis of ALS, particularly in cases with UMN involvement.