Literature DB >> 24816677

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

Anna Banaszek1, Joanna Bladowska, Paweł Szewczyk, Przemysław Podgórski, Marek Sąsiadek.   

Abstract

PURPOSE: The aim of this study was to evaluate the usefulness of diffusion tensor imaging (DTI) in the detection of cervical spinal cord integrity alterations in different stages of degenerative spine disease, as well as to compare DTI parameters with selected cervical spinal stenosis measurements.
METHODS: One hundred and thirty-two symptomatic patients (mean age 53.58 years) with different stages of cervical spondylosis and twenty-five control subjects (mean age 45.78 years) were enrolled in the study. DTI was performed with a 1.5 T MR scanner. Three hundred and forty-nine spine segments from C2/C3 to C5/C6 were evaluated and divided into five groups according to the degree of spinal cord compression. The values of fractional anisotropy (FA) and apparent diffusion coefficient at each level were calculated and their correlations with the degree of stenosis were analyzed.
RESULTS: FA values differed significantly (p < 0.0001) at all levels between the control group and patients with cervical degenerative disease, including subjects without spinal cord compression visible on plain MR images. A significant (p < 0.01) positive correlation between the mean FA values and anteroposterior diameter of the spinal canal as well as space available for the spinal cord index was demonstrated at all investigated levels.
CONCLUSION: DTI is capable of revealing impairment of the cervical spinal cord microstructure at the very early stage of degenerative spine disease, even prior to spinal cord compression visible on plain MR. Anteroposterior spinal canal diameter as well as space available for the cord index is well related to spinal cord tissue integrity defined by DTI.

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Year:  2014        PMID: 24816677     DOI: 10.1007/s00586-014-3323-x

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  19 in total

1.  3 T magnetic resonance diffusion tensor imaging and fibre tracking in cervical myelopathy.

Authors:  M Xiangshui; C Xiangjun; Z Xiaoming; Z Qingshi; C Yi; Q Chuanqiang; M Xiangxing; L Chuanfu; H Jinwen
Journal:  Clin Radiol       Date:  2010-04-18       Impact factor: 2.350

2.  Diffusion tensor imaging in the cervical spinal cord.

Authors:  Ting Song; Wen-Jun Chen; Bo Yang; Hong-Pu Zhao; Jian-Wei Huang; Ming-Jin Cai; Tian-Fa Dong; Tang-Sheng Li
Journal:  Eur Spine J       Date:  2010-10-13       Impact factor: 3.134

3.  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

4.  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

5.  A diffusion gradient optimization framework for spinal cord diffusion tensor imaging.

Authors:  Shantanu Majumdar; David C Zhu; Satish S Udpa; L Guy Raguin
Journal:  Magn Reson Imaging       Date:  2011-05-08       Impact factor: 2.546

6.  The role of DTI in early detection of cervical spondylotic myelopathy: a preliminary study with 3-T MRI.

Authors:  Batuhan Kara; Azim Celik; Selhan Karadereler; Levent Ulusoy; Kursat Ganiyusufoglu; Levent Onat; Ayhan Mutlu; Ibrahim Ornek; Mustafa Sirvanci; Azmi Hamzaoglu
Journal:  Neuroradiology       Date:  2011-02-23       Impact factor: 2.804

7.  Measures of spinal canal stenosis and relationship to spinal cord structure in patients with cervical spondylosis.

Authors:  P G Lindberg; A Feydy; K Sanchez; F Rannou; M A Maier
Journal:  J Neuroradiol       Date:  2011-10-26       Impact factor: 3.447

8.  Diffusion-weighted MR imaging with apparent diffusion coefficient and apparent diffusion tensor maps in cervical spondylotic myelopathy.

Authors:  Ayhan Demir; Mario Ries; Crit T W Moonen; Jean-Marc Vital; Joël Dehais; Pierre Arne; Jean-Marie Caillé; Vincent Dousset
Journal:  Radiology       Date:  2003-10       Impact factor: 11.105

9.  Classification system based on kinematic MR imaging in cervical spondylitic myelopathy.

Authors:  C Muhle; J Metzner; D Weinert; A Falliner; G Brinkmann; M H Mehdorn; M Heller; D Resnick
Journal:  AJNR Am J Neuroradiol       Date:  1998-10       Impact factor: 3.825

10.  MR T2 image classification in cervical compression myelopathy: predictor of surgical outcomes.

Authors:  Yasutsugu Yukawa; Fumihiko Kato; Hisatake Yoshihara; Makoto Yanase; Keigo Ito
Journal:  Spine (Phila Pa 1976)       Date:  2007-07-01       Impact factor: 3.468

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  14 in total

Review 1.  Role of Diffusion Tensor MR Imaging in Degenerative Cervical Spine Disease: a Review of the Literature.

Authors:  A Banaszek; J Bladowska; P Podgórski; M J Sąsiadek
Journal:  Clin Neuroradiol       Date:  2015-09-30       Impact factor: 3.649

2.  Correlation of force control with regional spinal DTI in patients with cervical spondylosis without signs of spinal cord injury on conventional MRI.

Authors:  Påvel G Lindberg; Katherine Sanchez; Fidan Ozcan; François Rannou; Serge Poiraudeau; Antoine Feydy; Marc A Maier
Journal:  Eur Radiol       Date:  2015-06-27       Impact factor: 5.315

Review 3.  Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI.

Authors:  Allan R Martin; Izabela Aleksanderek; Julien Cohen-Adad; Zenovia Tarmohamed; Lindsay Tetreault; Nathaniel Smith; David W Cadotte; Adrian Crawley; Howard Ginsberg; David J Mikulis; Michael G Fehlings
Journal:  Neuroimage Clin       Date:  2015-12-04       Impact factor: 4.881

4.  Apparent diffusion coefficient as an indicator of spinal cord compression due to anterior atlanto-axial subluxation in rheumatoid arthritis patients.

Authors:  Małgorzata Mańczak; Grzegorz Pracoń; Iwona Sudoł-Szopińska; Robert Gasik
Journal:  Eur Spine J       Date:  2019-07-12       Impact factor: 3.134

Review 5.  Quantitative MR Markers in Non-Myelopathic Spinal Cord Compression: A Narrative Review.

Authors:  Jan Valošek; Petr Bednařík; Miloš Keřkovský; Petr Hluštík; Josef Bednařík; Alena Svatkova
Journal:  J Clin Med       Date:  2022-04-20       Impact factor: 4.964

Review 6.  Diffusion tensor imaging studies of cervical spondylotic myelopathy: a systemic review and meta-analysis.

Authors:  Xiaofei Guan; Guoxin Fan; Xinbo Wu; Guangfei Gu; Xin Gu; Hailong Zhang; Shisheng He
Journal:  PLoS One       Date:  2015-02-11       Impact factor: 3.240

7.  Diffusion tensor imaging of spinal microstructure in healthy adults: improved resolution with the readout segmentation of long variable echo-trains.

Authors:  Bu-Tian Zhang; Meng Li; Li-Li Yu; Yi-Meng Dai; Shao-Nan Yu; Jin-Lan Jiang
Journal:  Neural Regen Res       Date:  2017-12       Impact factor: 5.135

8.  Usefulness of conventional magnetic resonance imaging, diffusion tensor imaging and neurite orientation dispersion and density imaging in evaluating postoperative function in patients with cervical spondylotic myelopathy.

Authors:  Wen Jiang; Xiao Han; Hua Guo; Xiao Dong Ma; Jinchao Wang; Xiaoguang Cheng; Aihong Yu; Qingpeng Song; Kaining Shi; Jianping Dai
Journal:  J Orthop Translat       Date:  2018-09-14       Impact factor: 5.191

9.  Decreased Value of Highly Accurate Fractional Anisotropy Using 3-Tesla ZOOM Diffusion Tensor Imaging After Decompressive Surgery in Patients with Cervical Spondylotic Myelopathy: Aligned Fibers Effect.

Authors:  Motoyuki Iwasaki; Takumi Yokohama; Daisuke Oura; Shou Furuya; Yoshimasa Niiya; Tomoyuki Okuaki
Journal:  World Neurosurg X       Date:  2019-07-26

10.  Compensatory brainstem functional and structural connectivity in patients with degenerative cervical myelopathy by probabilistic tractography and functional MRI.

Authors:  Chencai Wang; Azim Laiwalla; Noriko Salamon; Benjamin M Ellingson; Langston T Holly
Journal:  Brain Res       Date:  2020-09-17       Impact factor: 3.252

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