Literature DB >> 20725834

Diffusion tensor imaging and fibre tracking in cervical spondylotic myelopathy.

Jean-François Budzik1, Vincent Balbi, Vianney Le Thuc, Alain Duhamel, Richard Assaker, Anne Cotten.   

Abstract

OBJECTIVES: To (1) obtain microstructural parameters (Fractional Anisotropy: FA, Mean Diffusivity: MD) of the cervical spinal cord in patients suffering from cervical spondylotic myelopathy (CSM) using tractography, (2) to compare DTI parameters with the clinical assessment of these patients (3) and with information issued from conventional sequences.
METHODS: DTI was performed on 20 symptomatic patients with cervical spondylotic myelopathy, matched with 15 volunteers. FA and MD were calculated from tractography images at the C2-C3 level and compressed level in patients and at the C2-C3 and C4-C7 in controls. Patients were clinically evaluated using a self-administered questionnaire.
RESULTS: The FA values of patients were significantly lower at the compressed level than the FA of volunteers at the C4-C7 level. A significant positive correlation between FA at the compressed level and clinical assessment was demonstrated. Increased signal intensity on T2-weighted images did not correlate either with FA or MD values, or with any of the clinical scores.
CONCLUSION: FA values were significantly correlated with some of the patients' clinical scores. High signal intensity of the spinal cord on T2 was not correlated either with the DTI parameters or with the clinical assessment, suggesting that FA is more sensitive than T2 imaging.

Entities:  

Mesh:

Year:  2010        PMID: 20725834     DOI: 10.1007/s00330-010-1927-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  33 in total

1.  Intramedullary high signal intensity on T2-weighted MR images in cervical spondylotic myelopathy: prediction of prognosis with type of intensity.

Authors:  C J Chen; R K Lyu; S T Lee; Y C Wong; L J Wang
Journal:  Radiology       Date:  2001-12       Impact factor: 11.105

Review 2.  Processing and visualization for diffusion tensor MRI.

Authors:  C-F Westin; S E Maier; H Mamata; A Nabavi; F A Jolesz; R Kikinis
Journal:  Med Image Anal       Date:  2002-06       Impact factor: 8.545

3.  Cervical spondylotic myelopathy. Clinicopathologic study on the progression pattern and thin myelinated fibers of the lesions of seven patients examined during complete autopsy.

Authors:  T Ito; K Oyanagi; H Takahashi; H E Takahashi; F Ikuta
Journal:  Spine (Phila Pa 1976)       Date:  1996-04-01       Impact factor: 3.468

4.  [Measurement of agreement between 2 judges. Qualitative cases].

Authors:  J Fermanian
Journal:  Rev Epidemiol Sante Publique       Date:  1984       Impact factor: 1.019

5.  Apparent diffusion coefficient and fractional anisotropy in spinal cord: age and cervical spondylosis-related changes.

Authors:  Hatsuho Mamata; Ferenc A Jolesz; Stephan E Maier
Journal:  J Magn Reson Imaging       Date:  2005-07       Impact factor: 4.813

6.  Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis.

Authors:  Osamu Abe; Shigeki Aoki; Naoto Hayashi; Haruyasu Yamada; Akira Kunimatsu; Harushi Mori; Takeharu Yoshikawa; Toshiyuki Okubo; Kuni Ohtomo
Journal:  Neurobiol Aging       Date:  2002 May-Jun       Impact factor: 4.673

7.  Correlation between operative outcomes of cervical compression myelopathy and mri of the spinal cord.

Authors:  Y Morio; R Teshima; H Nagashima; K Nawata; D Yamasaki; Y Nanjo
Journal:  Spine (Phila Pa 1976)       Date:  2001-06-01       Impact factor: 3.468

Review 8.  The assessment of cervical myelopathy.

Authors:  Frank J Salvi; John C Jones; Bonnie J Weigert
Journal:  Spine J       Date:  2006 Nov-Dec       Impact factor: 4.166

Review 9.  The effects of normal aging on myelin and nerve fibers: a review.

Authors:  Alan Peters
Journal:  J Neurocytol       Date:  2002 Sep-Nov

10.  Effect of intramedullary signal changes on the surgical outcome of patients with cervical spondylotic myelopathy.

Authors:  Ashish Suri; Ravinder Pal Singh Chabbra; Veer Singh Mehta; Sailesh Gaikwad; Ram Mohan Pandey
Journal:  Spine J       Date:  2003 Jan-Feb       Impact factor: 4.166

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  52 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

2.  Brachial plexus MR imaging: accuracy and reproducibility of DTI-derived measurements and fibre tractography at 3.0-T.

Authors:  Alberto Tagliafico; Massimo Calabrese; Matteo Puntoni; Daniele Pace; Gabriella Baio; Carlo Emanuele Neumaier; Carlo Martinoli
Journal:  Eur Radiol       Date:  2011-03-22       Impact factor: 5.315

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.  The functional relevance of diffusion tensor imaging in comparison to conventional MRI in patients with cervical compressive myelopathy.

Authors:  Young-Mi Yang; Woo-Kyoung Yoo; Je Hyun Yoo; Yoon Hae Kwak; Jae-Keun Oh; Ji-Sun Song; Seok Woo Kim
Journal:  Skeletal Radiol       Date:  2017-07-17       Impact factor: 2.199

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.  Analysis of the diffusion tensor imaging parameters of a normal cervical spinal cord in a healthy population.

Authors:  Liang-Feng Wei; Shou-Sen Wang; Zhao-Cong Zheng; Jun Tian; Liang Xue
Journal:  J Spinal Cord Med       Date:  2016-11-04       Impact factor: 1.985

8.  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

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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