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Diffusion Tensor Imaging as a Prognostic Tool for Recovery in Acute and Hyperacute Stroke
Foteini Christidi1, Dimitrios Tsiptsios1, Aggeliki Fotiadou1
1Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Neurology International
|October 24, 2022
Summary
Diffusion tensor imaging (DTI) shows promise as a biomarker for predicting stroke recovery. This review highlights DTI
Area of Science:
- Neuroscience
- Radiology
- Neurology
Background:
- Stroke is a leading cause of death and disability globally.
- Prognostic uncertainty in stroke recovery necessitates reliable biomarkers.
- Structural neuroimaging, like diffusion tensor imaging (DTI), offers potential for assessing white matter integrity.
Purpose of the Study:
- To review the literature on DTI as a prognostic tool for stroke recovery.
- Focus on acute and hyperacute stroke patients.
- Identify research gaps and future priorities.
Main Methods:
- Systematic literature search of MEDLINE and Science Direct databases.
- Inclusion of full-text human studies published in English between 2012 and 2022.
- Analysis of 44 identified studies.
Main Results:
- DTI can track longitudinal changes in stroke patients.
- DTI identifies prognostic correlates for stroke recovery.
- Methodological limitations and research gaps were identified.
Conclusions:
- DTI demonstrates potential as a prognostic imaging biomarker in acute and hyperacute stroke.
- Further research is needed to address current literature shortcomings.
- DTI aids in understanding white matter integrity and predicting patient outcomes.
