Prediction of motor recovery after ischemic stroke using diffusion tensor imaging: A meta-analysis

BACKGROUND: This systematic review aims to investigate the prediction value of diffusion tensor imaging for motor function recovery of ischemic stroke patients. METHODS: Cochrane Central Register of Controlled Trials (CENTRAL) (the Cochrane Library 2016, Issue 9), PubMed, Embase, Clarivate Analytics, Scopus, CINAHL, Chinese Biomedical Literature Database, China National Knowledge Infrastructure and Google Scholar were searched for either motor recovery or corticospinal tract integrity by diffusion tensor imaging in different stroke phase from January 1, 1970, to October 31, 2016. The study design and participants were subjected to metrological analysis. Correlation coeffi cient (r) was used for evaluating the relationship between fractional anisotropy (FA) and motor function outcome. Correlation coeffi cient values were extracted from each study, and 95% confidence intervals (CIs) were calculated by Fisher's z transformation. Meta-analysis was conducted by STATA software. RESULTS: Fifteen studies with a total of 414 patients were included. Meta-analysis showed that FA in the subacute phase had the significant correlation with motor function outcome (ES=0.75, 95% CI 0.62-0.87), which showed moderate quality based on GRADE system. The weight correlation coeffi cient revealed that an effect size (ES) of FA in acute phase and chronic phase was 0.51 (95% CI 0.33-0.68) and 0.62 (95% CI 0.47-0.77) respectively. CONCLUSION: This meta-analysis reveals that FA in the subacute phase after ischemic stroke is a good predictor for functional motor recovery, which shows moderate quality based on the GRADE system.