Diffusion tensor imaging for predicting hand motor outcome in chronic stroke patients

F. Song, F. Zhang, D. Z. Yin, Yong Shan Hu, Ming Xia Fan, H. H. Ni, X. L. Nan, X. Cui, C. X. Zhou, C. S. Huang, Q. Zhao, L. H. Ma, Y. M. Xu, Q. J. Xia

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Objective: Previous studies have indicated that diffusion tensor imaging (DTI) values are related to clinical outcome in stroke patients. This prospective study explored whether DTI values were predictive for hand function outcome in chronic stroke patients. Methods: The DTI parameters (rλ1, rλ23, fractional anisotropy [rFA] and mean diffusivity [rMD]) were investigated in patients with completely paralysed hands (CPH; n = 10) or partially paralysed hands (PPH; n = 10), by two methods of analysis: segment of the corticospinal tract [sCST] analysis; pure region of interest [ROI] analysis. Spearman's correlation coefficient was used to assess the correlation between the DTI parameters and the following clinical measures: Fugl-Meyer Assessment [FMA]; National Institutes of Health Stroke Scale [NIHSS]. Results: Significant differences were found between CPH and PPH for rFA and rλ23 (sCST analysis) and for rMD and rλ23 (ROI analysis). The rλ23 (sCST analysis) correlated with the NIHSS; the rMD (sCST analysis) correlated with the FMA (hand). Conclusion: The three parameters, rFA, rλ23 and rMD may have predictive value for evaluating hand function outcome in chronic stroke patients.

Original languageEnglish
Pages (from-to)126-133
Number of pages8
JournalJournal of International Medical Research
Volume40
Issue number1
DOIs
StatePublished - Feb 2012

Keywords

  • Diffusion tensor imaging (DTI)
  • Hand function outcome
  • Pure region of interest (ROI) analysis
  • Segment of the corticospinal tract (SCST) analysis
  • Stroke

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