Role of diffusion tensor imaging biomarkers and tractography to predict motor outcomes in patients with cerebral ischemic infarctions. | ||||
| Minia Journal of Medical Research | ||||
| Articles in Press, Accepted Manuscript, Available Online from 11 August 2024 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjmr.2024.304905.1750 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Aya Sayed Hamdy Ghanem  1; Alaa Wagih2; nasr osman3; Manal Abusamra4
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| 12 El-Rahma street, Minia, Egypt | ||||
| 2Radiology department, faculty of medicine, Minia University. | ||||
| 3Radiology department, faculty of medicine. Minia university | ||||
| 4Radiology department. faculty of medicine. Minia university | ||||
| Abstract | ||||
| Background: Acute ischemic stroke is one of the main causes of death globally. Conventional magnetic resonance techniques cannot provide reliable information regarding the integrity of the white matter tracts limiting its ability to predict the clinical outcome. Prediction of the motor outcome becomes very important to determine a specific rehabilitation strategy and the final clinical outcomes. The purpose of this study was to assess the value of diffusion tensor imaging (DTI) in patients with acute ischemic stroke as a prognostic modality to predict the motor outcome. Results: A significant statistical association was found between the 3D tractography findings and the NIHSS score on admission and the NIHSS score on recovery after 3 months. Residual neurological deficits were found in patients with disrupted tracts. However, near-complete clinical recovery was found in patients with intact non-disrupted tracts. Also, significant statistical association was found between the degree of FA reduction in the affected tracts and the NIHSS score on admission and the NIHSS score on recovery after 3 months. Conclusion: DTI is a technique that can detect the microstructural changes in the white matter tracts affected by ischemic lesions, as a result, it can be used as a tool to predict motor outcomes in patients with acute stroke and help in determining the best rehabilitation strategy. | ||||
| Keywords | ||||
| Diffusion tensor imaging; Tractography; motor outcomes; acute ischemic stroke | ||||
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