Literature DB >> 21228747

Magnetic resonance diffusion tensor imaging in patients with cervical spondylotic spinal cord compression: correlations between clinical and electrophysiological findings.

Miloš Kerkovský1, Josef Bednarík, Ladislav Dušek, Andrea Sprláková-Puková, Igor Urbánek, Marek Mechl, Vlastimil Válek, Zdenek Kadanka.   

Abstract

STUDY
DESIGN: A prospective study evaluating a cohort of patients with spondylotic cervical spine compression.
OBJECTIVE: To analyze the potential of diffusion tensor imaging (DTI) of the cervical spinal cord in the detection of changes associated with spondylotic myelopathy, with particular reference to clinical and electrophysiological findings. SUMMARY OF BACKGROUND DATA: Conventional magnetic resonance imaging (MRI) may provide confusing findings because of a frequent disproportion between the degree of the spinal cord compression and clinical symptoms. The DTI is known to be more sensitive to subtle pathological changes of the spinal cord compared with conventional MRI.
METHODS: The DTI of the cervical spinal cord was performed within a group of 52 patients with spondylotic spinal cord compression and 13 healthy volunteers on a 1.5-T MRI scanner. All patients underwent clinical examination that differentiated between asymptomatic and symptomatic myelopathy subgroups, and 45 patients underwent electrophysiological examination. We measured the apparent diffusion coefficient and fractional anisotropy of the spinal cord at C2/C3 level without compression and at the maximal compression level (MCL). Sagittal spinal canal diameter, cross-sectional spinal cord area, and presence of T2 hyperintensity at the MCL were also recorded. Nonparametric statistical testing was used for comparison of controls with subgroups of patients.
RESULTS: Significant differences in both the DTI parameters measured at the MCL, between patients with compression and control group, were found, while no difference was observed at the noncompression level. Moreover, fractional anisotropy values were lower and apparent diffusion coefficient values were higher at the MCL in the symptomatic patients than in the asymptomatic patients. The DTI showed higher potential to discriminate between clinical subgroups in comparison with standard MRI parameters and electrophysiological findings.
CONCLUSION: The DTI appears to be a promising imaging modality in patients with spondylotic spinal cord compression. It reflects the presence of symptomatic myelopathy and shows considerable potential for discriminating between symptomatic and asymptomatic patients.

Entities:  

Mesh:

Year:  2012        PMID: 21228747     DOI: 10.1097/BRS.0b013e31820e6c35

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


  44 in total

1.  Diffusion tensor imaging and fiber tractography in cervical compressive myelopathy: preliminary results.

Authors:  Joon Woo Lee; Jae Hyoung Kim; Jong Bin Park; Kun Woo Park; Jin S Yeom; Guen Young Lee; Heung Sik Kang
Journal:  Skeletal Radiol       Date:  2011-04-15       Impact factor: 2.199

Review 2.  Risk factors for development of myelopathy in patients with cervical spondylotic cord compression.

Authors:  Shunji Matsunaga; Setsuro Komiya; Yoshiaki Toyama
Journal:  Eur Spine J       Date:  2013-05-23       Impact factor: 3.134

3.  Assessing structure and function of myelin in cervical spondylotic myelopathy: Evidence of demyelination.

Authors:  Hanwen Liu; Erin L MacMillian; Catherine R Jutzeler; Emil Ljungberg; Alex L MacKay; Shannon H Kolind; Burkhard Mädler; David K B Li; Marcel F Dvorak; Armin Curt; Cornelia Laule; John L K Kramer
Journal:  Neurology       Date:  2017-07-12       Impact factor: 9.910

4.  Diffusion tensor imaging predicts functional impairment in mild-to-moderate cervical spondylotic myelopathy.

Authors:  Benjamin M Ellingson; Noriko Salamon; John W Grinstead; Langston T Holly
Journal:  Spine J       Date:  2014-02-20       Impact factor: 4.166

5.  Normal values of cervical spinal cord diffusion tensor in young and middle-aged healthy Chinese.

Authors:  Tin-Yan Chan; Xiang Li; Kin-Cheung Mak; Jason Pui-yin Cheung; Keith Dip-Kei Luk; Yong Hu
Journal:  Eur Spine J       Date:  2015-07-25       Impact factor: 3.134

6.  Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

7.  A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

8.  Diffusion tensor imaging correlates with the clinical assessment of disease severity in cervical spondylotic myelopathy and predicts outcome following surgery.

Authors:  J G A Jones; S Y Cen; R M Lebel; P C Hsieh; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-19       Impact factor: 3.825

9.  Diffusion tensor imaging as a predictor of locomotor function after experimental spinal cord injury and recovery.

Authors:  Brian J Kelley; Noam Y Harel; Chang-Yeon Kim; Xenophon Papademetris; Daniel Coman; Xingxing Wang; Omar Hasan; Adam Kaufman; Ronen Globinsky; Lawrence H Staib; William B J Cafferty; Fahmeed Hyder; Stephen M Strittmatter
Journal:  J Neurotrauma       Date:  2014-07-08       Impact factor: 5.269

10.  Usefulness of diffusion tensor MR imaging in the assessment of intramedullary changes of the cervical spinal cord in different stages of degenerative spine disease.

Authors:  Anna Banaszek; Joanna Bladowska; Paweł Szewczyk; Przemysław Podgórski; Marek Sąsiadek
Journal:  Eur Spine J       Date:  2014-05-11       Impact factor: 3.134

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