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扩散张量成像预测慢性卒中患者手部运动结局

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

作者信息

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

机构信息

Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.

出版信息

J Int Med Res. 2012;40(1):126-33. doi: 10.1177/147323001204000113.

DOI:10.1177/147323001204000113
PMID:22429352
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.

摘要

目的

既往研究表明,弥散张量成像(DTI)值与中风患者的临床结局相关。本前瞻性研究探讨DTI值是否可预测慢性中风患者的手部功能结局。

方法

通过两种分析方法,对完全瘫痪手(CPH;n = 10)或部分瘫痪手(PPH;n = 10)的患者进行DTI参数(rλ1、rλ23、分数各向异性[rFA]和平均扩散率[rMD])研究:皮质脊髓束节段[sCST]分析;纯感兴趣区[ROI]分析。采用Spearman相关系数评估DTI参数与以下临床指标之间的相关性:Fugl-Meyer评估[FMA];美国国立卫生研究院卒中量表[NIHSS]。

结果

在rFA和rλ23(sCST分析)以及rMD和rλ23(ROI分析)方面,CPH和PPH之间存在显著差异。rλ23(sCST分析)与NIHSS相关;rMD(sCST分析)与FMA(手)相关。

结论

rFA、rλ23和rMD这三个参数可能对评估慢性中风患者的手部功能结局具有预测价值。

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