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Prediction of motor recovery using diffusion tensor tractography in supratentorial stroke patients with severe motor involvement

  • Kang Hee Kim
  • , Yun Hee Kim
  • , Min Su Kim
  • , Chang Hyun Park
  • , Ahee Lee
  • , Won Hyuk Chang
  • Sungkyunkwan University
  • Wonkwang University

Research output: Contribution to journalArticlepeer-review

Abstract

Objective To investigate whether early stage diffusion tensor tractography (DTT) values predict motor function at 3 months after onset in supratentorial stroke patients with severe motor involvement.Methods A retrospective study design was used to analyze medical records and neuroimaging data of 49 supratentorial stroke patients with severe motor involvement. Diffusion tensor imaging was assessed within 3 weeks after stroke in all patients. Three-dimensional tractography of the ipsilateral corticospinal tract (CST) was performed using the fiber assignment of the continuous tracking algorithm. The two-step DTT analysis was used. The first step was classification according to ipsilateral CST visualization. The second step was a quantitative analysis of the visible-CST group parameters. Motor function was assessed at 2 weeks and at 3 months after stroke. Comparative and correlation analyses were performed between DTT-derived measures and motor assessment scores.Results Motor function of the upper extremity at 3 months after stroke was significantly higher in the visible-CST group than that in the nonvisible-CST group (p<0.05). Early stage fractional anisotropy was of DTT correlated significantly with upper extremity motor function at 3 months after stroke in the visible-CST group (p<0.05).Conclusion These results demonstrate that early DTT-derived measures predict motor recovery in the upper extremity at 3 months after onset in supratentorial stroke patients with severe motor involvement.

Original languageEnglish
Pages (from-to)570-576
Number of pages7
JournalAnnals of Rehabilitation Medicine
Volume39
Issue number4
DOIs
StatePublished - 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Corticospinal tract
  • Diffusion tensor tractography
  • FACT algorithm
  • Fractional anisotropy
  • Motor recovery

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