[Prоgnosis of motor function recovery in ischemic stroke using diffusion tensor MRI]

Area of Science:

• Neuroimaging
• Neurology
• Stroke Research

Background:

• Ischemic stroke (IS) significantly impacts motor function, necessitating reliable methods for prognosis.
• Diffusion tensor imaging (DTI) offers a non-invasive approach to assess white matter integrity.
• Understanding factors influencing motor recovery is crucial for patient management.

Purpose of the Study:

• To identify key factors predicting motor recovery in patients with ischemic stroke (IS).
• To evaluate the utility of diffusion tensor imaging (DTI) in assessing motor deficits.
• To determine the prognostic value of DTI metrics for functional outcomes post-stroke.

Main Methods:

• Studied 47 patients with IS at various time points (1-2, 7-8, 14-15, 20-21 days post-stroke).
• Measured fractional anisotropy (FA) values in the pyramidal tract (posterior limb of internal capsule, cerebral peduncle, pons).
• Calculated the relative FA (rFA) ratio (affected side/unaffected side) for quantitative analysis.

Main Results:

• A relative FA (rFA) ratio of ≤0.7 in the cerebral peduncle and posterior limb of the internal capsule accurately predicted poor motor outcomes in IS patients.
• DTI-derived rFA values demonstrated a strong correlation with motor deficit severity.
• Early DTI assessment can identify patients at risk of limited motor recovery.

Conclusions:

• Diffusion tensor imaging (DTI) provides a quantitative method to evaluate motor deficits after ischemic stroke.
• DTI parameters, specifically the rFA ratio, can reliably predict functional prognosis in IS patients.
• This imaging technique aids in anticipating long-term motor recovery and guiding therapeutic strategies.