Diffusion Tensor Imaging for Predicting Hand Motor Outcome in Chronic Stroke Patients  

Oleh:

Song, F. ; Zhang, F. ; Yin, D-Z ; Hu, Y-S

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Journal of International Medical Research vol. 40 no. 01 (Jan. 2012), page 126-133.
Topik: Stroke; Diffusion Tensor Imaging (DTI); Segment Of The Corticospinal Tract (S CST) Analysi; Pure Region Of Interest (ROI) Analysis; Hand Function Outcome

Ketersediaan

Perpustakaan FK Nomor Panggil: J11.K Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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 (r?1, r?23, 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 r?23 (sCST analysis) and for rMD and r?23 (ROI analysis). The r?23 (sCST analysis) correlated with the NIHSS; the rMD (sCST analysis) correlated with the FMA (hand). CONCLUSION: The three parameters, rFA, r?23 and rMD may have predictive value for evaluating hand function outcome in chronic stroke patients.

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