| Diffusion tensor imaging for predicting hand motor outcome in chronic stroke patients. | |
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MedLine Citation:
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PMID: 22429352 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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 (rλ(1), rλ(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 rλ(23) (sCST analysis) and for rMD and rλ(23) (ROI analysis). The rλ(23) (sCST analysis) correlated with the NIHSS; the rMD (sCST analysis) correlated with the FMA (hand). CONCLUSION: The three parameters, rFA, rλ(23) and rMD may have predictive value for evaluating hand function outcome in chronic stroke patients. |
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Authors:
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F Song; F Zhang; D-Z Yin; Y-S Hu; M-X 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 |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: The Journal of international medical research Volume: 40 ISSN: 1473-2300 ISO Abbreviation: J. Int. Med. Res. Publication Date: 2012 |
Date Detail:
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Created Date: 2012-03-20 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0346411 Medline TA: J Int Med Res Country: England |
Other Details:
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Languages: eng Pagination: 126-33 Citation Subset: IM |
Affiliation:
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Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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