Literature DB >> 27814138

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

Liang-Feng Wei1, Shou-Sen Wang1, Zhao-Cong Zheng1, Jun Tian1, Liang Xue1.   

Abstract

BACKGROUND: Diffusion tensor imaging (DTI) shows great advantage in the diagnosis of brain diseases, including cervical spinal cord (CSC) disease. This study aims to obtain the normal values of the DTI parameters for a healthy population and to establish a baseline for CSC disease diagnosis using DTI.
METHODS: A total of 36 healthy adults were subjected to magnetic resonance imaging (MRI) for the entire CSC using the Siemens 3.0 T MR System. Sagittal DTI acquisition was carried out with a single-shot spin-echo echo-planar imaging (EPI) sequence along 12 non-collinear directions. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values were determined at different cervical levels using a region of interest (ROI) method, following which they were correlated with parameters, like age and sex. Further, diffusion tensor tracking (DTT) was carried out to reconstruct the white matter fiber bundles of the CSC.
RESULTS: The full and complete fiber bundle structure of a normal CSC was confirmed in both the T2-weighted and DTI images. The FA and ADC values were significantly negatively correlated with each other and showed strongly negative and positive correlations with age, respectively, but not with sex. Additionally, there was no significant difference between the FA and the ADC values at different cervical levels.
CONCLUSION: The DTI technique can act as an important supplement to the conventional MRI technique for CSC observation. Moreover, the FA and ADC values can be used as sensitive parameters in the DTI study on the CSC by taking the effects of age into consideration.

Entities:  

Keywords:  Apparent diffusion coefficient; Cervical spinal cord; Diffusion tensor imaging; Fractional anisotropy

Mesh:

Year:  2016        PMID: 27814138      PMCID: PMC5472022          DOI: 10.1080/10790268.2016.1244905

Source DB:  PubMed          Journal:  J Spinal Cord Med        ISSN: 1079-0268            Impact factor:   1.985


  39 in total

1.  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

2.  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

3.  Diffusion tensor imaging of the spinal cord.

Authors:  Stephan E Maier; Hatsuho Mamata
Journal:  Ann N Y Acad Sci       Date:  2005-12       Impact factor: 5.691

4.  Signal to noise ratio and uncertainty in diffusion tensor imaging at 1.5, 3.0, and 7.0 Tesla.

Authors:  Daniel L Polders; Alexander Leemans; Jeroen Hendrikse; Manus J Donahue; Peter R Luijten; Johannes M Hoogduin
Journal:  J Magn Reson Imaging       Date:  2011-06       Impact factor: 4.813

5.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI.

Authors:  P J Basser; C Pierpaoli
Journal:  J Magn Reson B       Date:  1996-06

6.  Diffusion-weighted MR imaging of anisotropic water diffusion in cat central nervous system.

Authors:  M E Moseley; Y Cohen; J Kucharczyk; J Mintorovitch; H S Asgari; M F Wendland; J Tsuruda; D Norman
Journal:  Radiology       Date:  1990-08       Impact factor: 11.105

7.  Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI.

Authors:  J Cohen-Adad; M-M El Mendili; S Lehéricy; P-F Pradat; S Blancho; S Rossignol; H Benali
Journal:  Neuroimage       Date:  2011-01-11       Impact factor: 6.556

8.  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

9.  Diffusion tensor imaging and fiber tractography of patients with cervical spinal cord injury.

Authors:  Yongmin Chang; Tae-Du Jung; Dong Soo Yoo; Jung Keun Hyun
Journal:  J Neurotrauma       Date:  2010-11       Impact factor: 5.269

Review 10.  Diffusion-weighted imaging of the spinal cord and optic nerve.

Authors:  G J Barker
Journal:  J Neurol Sci       Date:  2001-05-01       Impact factor: 3.181

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  3 in total

1.  Diffusion tensor imaging can predict surgical outcomes of patients with cervical compression myelopathy.

Authors:  Satoshi Maki; Masao Koda; Mitsuhiro Kitamura; Taigo Inada; Koshiro Kamiya; Mitsutoshi Ota; Yasushi Iijima; Junya Saito; Yoshitada Masuda; Koji Matsumoto; Masatoshi Kojima; Takayuki Obata; Kazuhisa Takahashi; Masashi Yamazaki; Takeo Furuya
Journal:  Eur Spine J       Date:  2017-06-16       Impact factor: 3.134

2.  Outcome factors in surgically treated patients for cervical spondylotic myelopathy.

Authors:  Jiolanda Zika; George A Alexiou; Sotirios Giannopoulos; Ioannis Kastanioudakis; Athanasios P Kyritsis; Spyridon Voulgaris
Journal:  J Spinal Cord Med       Date:  2018-07-24       Impact factor: 1.985

3.  The Functional Relevance of Diffusion Tensor Imaging in Patients with Degenerative Cervical Myelopathy.

Authors:  Stefania d'Avanzo; Marco Ciavarro; Luigi Pavone; Gabriele Pasqua; Francesco Ricciardi; Marcello Bartolo; Domenico Solari; Teresa Somma; Oreste de Divitiis; Paolo Cappabianca; Gualtiero Innocenzi
Journal:  J Clin Med       Date:  2020-06-11       Impact factor: 4.241

  3 in total

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