Diffusion tensor MR imaging of the pyramidal tract can predict the need for orthosis in hemiplegic patients with hemorrhagic stroke

被引:15
|
作者
Maeshima, Shinichiro [1 ]
Osawa, Aiko [1 ]
Nishio, Daisuke [2 ]
Hirano, Yoshitake [2 ]
Kigawa, Hiroshi [2 ]
Takeda, Hidetaka [3 ]
机构
[1] Saitama Med Univ, Dept Rehabil Med, Int Med Ctr, Hidaka, Saitama 3501298, Japan
[2] Hanno Seiwa Hosp, Rehabil Ctr, Hanno, Japan
[3] Int Univ Welf & Hlth Sci, Dept Neurol, Tokyo, Japan
关键词
Cerebral hemorrhage; Orthosis; Diffusion tensor MR imaging; Fractional anisotropy value; Ambulation; REHABILITATION; TRACTOGRAPHY;
D O I
10.1007/s10072-013-1330-z
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Diffusion tensor magnetic resonance (MR) imaging was used to evaluate motor functions in stroke patients. The aim of this study was to clarify whether imaging can be used to predict orthotic needs in patients with hemiplegia. We studied 25 patients (age range, 16-78 years) with intracerebral hemorrhages (putamen 15, thalamus 7, frontal subcortex 3). Diffusion tensor MR imaging was undertaken on admission at rehabilitation hospital for stroke patients. The fractional anisotropy (FA) value of the pyramidal tract was calculated. We compared the FA value in the ROI of the cerebral peduncle with the necessity for orthosis at discharge from the rehabilitation hospital. As a result, the FA values of the affected side in patients who needed orthosis at discharge were lower than those in patients who did not need orthosis. There was no significant difference in the FA values of the unaffected side. We concluded that the need for orthosis in patients with hemiplegia after stroke rehabilitation could be predicted using the diffusion tensor MR images of corticospinal tractography.
引用
下载
收藏
页码:1765 / 1770
页数:6
相关论文
共 50 条
  • [1] Diffusion tensor MR imaging of the pyramidal tract can predict the need for orthosis in hemiplegic patients with hemorrhagic stroke
    Shinichiro Maeshima
    Aiko Osawa
    Daisuke Nishio
    Yoshitake Hirano
    Hiroshi Kigawa
    Hidetaka Takeda
    [J]. Neurological Sciences, 2013, 34 : 1765 - 1770
  • [2] Diffusion tensor imaging of pyramidal tract reorganization after pediatric stroke
    George, Emilie
    Heier, Linda
    Kovanlikaya, Ilhami
    Greenfield, Jeffrey
    [J]. CHILDS NERVOUS SYSTEM, 2014, 30 (06) : 1135 - 1139
  • [3] Diffusion tensor imaging of pyramidal tract reorganization after pediatric stroke
    Emilie George
    Linda Heier
    Ilhami Kovanlikaya
    Jeffrey Greenfield
    [J]. Child's Nervous System, 2014, 30 : 1135 - 1139
  • [4] Diffusion tensor imaging in hemorrhagic stroke
    Chaudhary, Neeraj
    Pandey, Aditya S.
    Gemmete, Joseph J.
    Hua, Ya
    Huang, Yining
    Gu, Yuxiang
    Xi, Guohua
    [J]. EXPERIMENTAL NEUROLOGY, 2015, 272 : 88 - 96
  • [5] DIFFUSION TENSOR IMAGING, PERMANENT PYRAMIDAL TRACT DAMAGE, AND OUTCOME IN SUBCORTICAL STROKE
    Pedraza, Salvador
    Puig, Josep
    Blasco, Gerard
    Prados, Ferran
    [J]. NEUROLOGY, 2011, 76 (18) : 1606 - 1606
  • [6] Diffusion tensor imaging, permanent pyramidal tract damage, and outcome in subcortical stroke
    Radlinska, B.
    Ghinani, S.
    Leppert, I. R.
    Minuk, J.
    Pike, G. B.
    Thiel, A.
    [J]. NEUROLOGY, 2010, 75 (12) : 1048 - 1054
  • [7] Analysis of the pyramidal tract in tumor patients using diffusion tensor imaging
    Cardenes, Ruben
    Munoz-Moreno, Emma
    Sarabia-Herrero, Rosario
    Rodriguez-Velasco, Margarita
    Jose Fuertes-Alija, Juan
    Martin-Fernandez, Marcos
    [J]. NEUROIMAGE, 2010, 50 (01) : 27 - 39
  • [8] Diffusion tensor imaging detects early Wallerian degeneration of the pyramidal tract after ischemic stroke
    Thomalla, G
    Glauche, V
    Koch, MA
    Beaulieu, C
    Weiller, C
    Röther, J
    [J]. NEUROIMAGE, 2004, 22 (04) : 1767 - 1774
  • [9] Prediction of motor outcome in ischemic stroke involving the pyramidal tract using diffusion tensor imaging
    Ali, Gehan Gouda
    Elhameed, Abeer Maghawry Abd
    [J]. EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2012, 43 (01): : 25 - 31
  • [10] Can diffusion tensor imaging lesion patterns predict the outcome of ischemic stroke?
    Mervat Mostafa
    Maged Abdel Naseer
    Ramy Edward
    Mohammad Edrees
    Dalia M. Labib
    [J]. The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 56