Diffusion Tensor Imaging (DTI) and Fractional Anisotropy (FA) for Arcuate Fasciculus in Predicting Post-Stroke Aphasia Outcome

Background: In certain regions of the brain, aphasia arises from a lack understanding and regulating language following damage. About 35–40 percent people receiving hospitalization after stroke are identified with aphasia. The recently developed imaging methods for analysis impact brain lesion sites sizes on Diffusion Tensor Imaging (DTI) Fractional Anisotropy (FA). order to reflect micro-structural integrity DTI may give data damage level white matter subcortical neural structure. Objective: We examined relationship between arcuate fasciculus (AF) prognosis outcome ischemic utilizing DTI, FA. Patients Methods: this study, which included 34 patients post aphasia, we investigated FA in predicting post-stroke outcome. Results: There was no significant association sex Aphasia Handicap Scale (AHS) (P>0.05), while age significantly correlate AHS (P<0.05). vascular risk factors (hypertension, diabetes mellitus, smoking, dyslipidemia) were associated poor outcome. our found that size had effect Also, site infarction important factor determining Broca Wernicke regions, greater than cortical injury, insula injuries (1.92 ± 1.26) least common patients. Conclusion: predicted s outcome, also extent mechanism AF can be detected FA, stood as indicator severity stroke.