Journal of Physical Therapy Science
Online ISSN : 2187-5626
Print ISSN : 0915-5287
ISSN-L : 0915-5287
Original Article
Prediction of motor outcomes and activities of daily living function using diffusion tensor tractography in acute hemiparetic stroke patients
Takeshi ImuraYuki NagasawaTetsuji InagawaNaoki ImadaHiroaki IzumiKatsuya EmotoItaru TaniHiroyuki YamasakiYuichiro OtaShuichi OkiTadanori MaedaOsamu Araki
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ジャーナル フリー

2015 年 27 巻 5 号 p. 1383-1386

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[Purpose] The efficacy of diffusion tensor imaging in the prediction of motor outcomes and activities of daily living function remains unclear. We evaluated the most appropriate diffusion tensor parameters and methodology to determine whether the region of interest- or tractography-based method was more useful for predicting motor outcomes and activities of daily living function in stroke patients. [Subjects and Methods] Diffusion tensor imaging data within 10 days after stroke onset were collected and analyzed for 25 patients. The corticospinal tract was analyzed. Fractional anisotropy, number of fibers, and apparent diffusion coefficient were used as diffusion tensor parameters. Motor outcomes and activities of daily living function were evaluated on the same day as diffusion tensor imaging and at 1 month post-onset. [Results] The fractional anisotropy value of the affected corticospinal tract significantly correlated with the motor outcome and activities of daily living function within 10 days post-onset and at 1 month post-onset. Tthere were no significant correlations between other diffusion tensor parameters and motor outcomes or activities of daily living function. [Conclusion] The fractional anisotropy value of the affected corticospinal tract obtained using the tractography-based method was useful for predicting motor outcomes and activities of daily living function in stroke patients.

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© 2015 by the Society of Physical Therapy Science. Published by IPEC Inc.

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License.
https://creativecommons.org/licenses/by-nc-nd/4.0/
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