Diagnostic accuracy using diffusion tensor imaging in the diagnosis of ALS: a meta-analysis

Area of Science:

• Neuroimaging
• Neurology
• Medical Diagnostics

Background:

• Decreased fractional anisotropy (FA) in amyotrophic lateral sclerosis (ALS) has been reported using diffusion tensor imaging (DTI).
• DTI assesses white matter integrity by measuring water diffusion in biological tissues.
• Accurate diagnostic tools are crucial for early ALS detection and management.

Purpose of the Study:

• To conduct a meta-analysis estimating the diagnostic test accuracy of DTI for ALS.
• To evaluate the effectiveness of DTI as a diagnostic tool for amyotrophic lateral sclerosis.

Main Methods:

• Searched MEDLINE, EMBASE, CINAHL, and Cochrane databases for studies measuring FA in ALS patients.
• Included 30 case-control studies using region of interest or tractography DTI techniques.
• Applied receiver operative characteristic (ROC) curve analysis and bivariate mixed-effects regression for pooled sensitivity, specificity, and diagnostic odds ratio.

Main Results:

• Pooled sensitivity was 0.65 (95% CI 0.61-0.69) and pooled specificity was 0.67 (95% CI 0.63-0.72).
• The pooled area under the ROC curve was 0.76 (95% CI 0.71-0.81), indicating modest diagnostic capability.
• No significant differences in test accuracy were found based on MRI field strength or brain region.

Conclusions:

• Diffusion tensor imaging (DTI) demonstrates only modest discriminatory capability for diagnosing amyotrophic lateral sclerosis (ALS).
• The diagnostic accuracy of DTI for ALS is not significantly influenced by MRI field strength or the specific brain location analyzed.
• Further research may be needed to enhance the diagnostic utility of DTI in ALS.