Literature DB >> 8362319

Correlation between histopathologic features and magnetic resonance images of spinal cord lesions.

I Ohshio1, A Hatayama, K Kaneda, M Takahara, K Nagashima.   

Abstract

The authors report a correlation between histopathologic features and magnetic resonance images of spinal cord lesions in 19 human spinal cords with various types of lesions. Abnormally high T2-weighted image signal intensities appeared nonspecifically in mildly altered lesions or areas with edema. In the gray matter, a low T1-weighted image in addition to a high T2-weighted image signal intensity appeared in severely altered lesions with necrosis, myelomalacia, or spongiform change. In the white matter, abnormally high T1-weighted image intensities appeared in severely altered lesions. Based on these preliminary results, it appears that a correlation between the degree of histopathologic alteration of the spinal cord and magnetic resonance images in clinical cases can be made. This is the first study to clarify the correlation between histopathologic features and magnetic resonance images of the diseased human spinal cord.

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Mesh:

Year:  1993        PMID: 8362319     DOI: 10.1097/00007632-199307000-00005

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  38 in total

1.  Diffusion tensor imaging and fibre tracking in cervical spondylotic myelopathy.

Authors:  Jean-François Budzik; Vincent Balbi; Vianney Le Thuc; Alain Duhamel; Richard Assaker; Anne Cotten
Journal:  Eur Radiol       Date:  2010-08-20       Impact factor: 5.315

2.  Evaluation of the pathologic characteristics of excitotoxic spinal cord injury with MR imaging.

Authors:  Sara A Berens; Daniel C Colvin; Chen-Guang Yu; Robert P Yezierski; Thomas H Mareci
Journal:  AJNR Am J Neuroradiol       Date:  2005-08       Impact factor: 3.825

Review 3.  A review of prognostic factors for surgical outcome of ossification of the posterior longitudinal ligament of cervical spine.

Authors:  Hai Li; Lei-Sheng Jiang; Li-Yang Dai
Journal:  Eur Spine J       Date:  2008-08-14       Impact factor: 3.134

4.  Quantitative magnetic resonance imaging analysis correlates with surgical outcome of cervical spondylotic myelopathy.

Authors:  L-Q Sun; Y-M Li; X Wang; H-C Cao
Journal:  Spinal Cord       Date:  2014-11-18       Impact factor: 2.772

5.  Tract-Specific Diffusion Tensor Imaging in Cervical Spondylotic Myelopathy Before and After Decompressive Spinal Surgery: Preliminary Results.

Authors:  K Y Wang; O Idowu; C B Thompson; G Orman; C Myers; L H Riley; J A Carrino; A Flammang; W Gilson; C L Sadowsky; I Izbudak
Journal:  Clin Neuroradiol       Date:  2015-06-24       Impact factor: 3.649

Review 6.  Imaging of the spinal cord.

Authors:  J M Stevens
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-04       Impact factor: 10.154

7.  Correlation between diffusion tensor imaging parameters and clinical assessments in patients with cervical spondylotic myelopathy with and without high signal intensity.

Authors:  Y Liu; C Kong; L Cui; X Yuan; P Zhao; Y Zhang; Y Guan; X Chen
Journal:  Spinal Cord       Date:  2017-09-05       Impact factor: 2.772

8.  Compressive myelopathy: magnetic resonance imaging findings simulating idiopathic acute transverse myelopathy.

Authors:  Yun Jung Bae; Joon Woo Lee; Kyung Seok Park; Jin S Yeom; Ki-Jeong Kim; Guen Young Lee; Heung Sik Kang
Journal:  Skeletal Radiol       Date:  2013-01-09       Impact factor: 2.199

9.  Subacute T1-low intensity area reflects neurological prognosis for patients with cervical spinal cord injury without major bone injury.

Authors:  A Matsushita; T Maeda; E Mori; I Yugue; O Kawano; T Ueta; K Shiba
Journal:  Spinal Cord       Date:  2015-06-16       Impact factor: 2.772

10.  Does increased signal intensity of the spinal cord on MR images due to cervical myelopathy predict prognosis?

Authors:  Y Morio; K Yamamoto; K Kuranobu; M Murata; K Tuda
Journal:  Arch Orthop Trauma Surg       Date:  1994       Impact factor: 3.067

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