Can diffusion tensor imaging lesion patterns predict the outcome of ischemic stroke?

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Abstract

Background: Stroke can affect any portion of the central nervous system leading to a wide variety of symptoms depending on the part that is involved. Diffusion tensor imaging (DTI) is an emerging neuroimaging technique that allows measuring the integrity of white matter tracts. Objectives: The objective of this study is to find out if the diffusion tensor tractography technique can provide prognostic information regarding clinical outcome following ischemic stroke. Subjects and methods: Forty patients with acute ischemic stroke were studied with DTI. Size of infraction, degree of reduction of fractional anisotropy (FA), and pattern of corticospinal tract (CST) affection were identified. We assessed our patients according to the National Institute of Health Stroke Scale (NIHSS) and Medical Research Council (MRC) scale at onset of stroke and 3 months later. Results: FA reduction was correlated with MRC and NIHSS on admission (P < 0.001, 0.004 respectively) and after 3 months (P < 0.001, 0.013 respectively). The pattern of CST affection was associated with NIHSS and MRC after 3 months (P = 0.035, 0.001 respectively). Conclusion: DTI may be an indirect indicator of the ischemic stroke outcome.

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APA

Mostafa, M., Abdel Naseer, M., Edward, R., Edrees, M., & Labib, D. M. (2020). Can diffusion tensor imaging lesion patterns predict the outcome of ischemic stroke? Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 56(1). https://doi.org/10.1186/s41983-020-00176-1

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