Literature DB >> 20938788

Diffusion tensor imaging in the cervical spinal cord.

Ting Song1, Wen-Jun Chen, Bo Yang, Hong-Pu Zhao, Jian-Wei Huang, Ming-Jin Cai, Tian-Fa Dong, Tang-Sheng Li.   

Abstract

There are discrepancy between MR findings and clinical presentations. The compressed cervical cord in patients of the spondylotic myelopathy may be normal on conventional MRI when it is at the earlier stage or even if patients had severe symptoms. Therefore, it is necessary to take a developed MR technique--diffusion tensor imaging (DTI)--to detect the intramedullary lesions. Prospective MR and DTI were performed in 53 patients with cervical compressive myelopathy and twenty healthy volunteers. DTI was performed along six non-collinear directions with single-shot spin echo echo-planar imaging (EPI) sequence. Intramedullary apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values were measured in four segments (C2/3, C3/4, C4/5, C5/6) for volunteers, in lesions (or the compressed cord) and normal cord for patients. DTI original images were processed to produce color DTI maps. In the volunteers' group, cervical cord exhibited blue on the color DTI map. FA values between four segments had a significant difference (P < 0.01), with the highest FA value (0.85 ± 0.03) at C2/3 level. However, ADC value between them had no significant difference (P > 0.05). For patients, only 24 cases showed hyperintense on T2-weighted image, while 39 cases shown patchy green signal on color DTI maps. ADC and FA values between lesions or the compressed cord and normal spinal cord of patients had a significant difference (both P < 0.01). FA value at C2/3 cord is the highest of other segments and it gradually decreases towards the caudal direction. Using single-shot spin echo EPI sequence and six non-collinear diffusion directions with b value of 400 s mm(-2), DTI can clearly show the intramedullary microstructure and more lesions than conventional MRI.

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Year:  2010        PMID: 20938788      PMCID: PMC3048229          DOI: 10.1007/s00586-010-1587-3

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


  21 in total

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Authors:  F Franconi; L Lemaire; L Marescaux; P Jallet; J J Le Jeune
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2.  Diffusion tensor MRI of the spinal cord.

Authors:  M Ries; R A Jones; V Dousset; C T Moonen
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3.  Diffusion-weighted MRI of the cervical spinal cord using a single-shot fast spin-echo technique: findings in normal subjects and in myelomalacia.

Authors:  K Tsuchiya; S Katase; A Fujikawa; J Hachiya; H Kanazawa; K Yodo
Journal:  Neuroradiology       Date:  2003-01-15       Impact factor: 2.804

Review 4.  Diffusion tensor imaging in spinal cord: methods and applications - a review.

Authors:  Chris A Clark; David J Werring
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

5.  Apparent diffusion tensor measurements in myelin-deficient rat spinal cords.

Authors:  V Gulani; A G Webb; I D Duncan; P C Lauterbur
Journal:  Magn Reson Med       Date:  2001-02       Impact factor: 4.668

6.  Diffusion tensor MR imaging of high-grade cerebral gliomas.

Authors:  Saurabh Sinha; Mark E Bastin; Ian R Whittle; Joanna M Wardlaw
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7.  Outcome of patients treated for cervical myelopathy. A prospective, multicenter study with independent clinical review.

Authors:  P Sampath; M Bendebba; J D Davis; T B Ducker
Journal:  Spine (Phila Pa 1976)       Date:  2000-03-15       Impact factor: 3.468

Review 8.  A review of the pathophysiology of cervical spondylotic myelopathy with insights for potential novel mechanisms drawn from traumatic spinal cord injury.

Authors:  M G Fehlings; G Skaf
Journal:  Spine (Phila Pa 1976)       Date:  1998-12-15       Impact factor: 3.468

9.  The correlation of diffusion-weighted magnetic resonance imaging in cervical compression myelopathy with neurologic and radiologic severity.

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Authors:  Claudia A M Wheeler-Kingshott; Simon J Hickman; Geoffrey J M Parker; Olga Ciccarelli; Mark R Symms; David H Miller; Gareth J Barker
Journal:  Neuroimage       Date:  2002-05       Impact factor: 6.556

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  42 in total

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Journal:  Eur Spine J       Date:  2011-12-22       Impact factor: 3.134

2.  Diffusion tensor imaging of the normal pediatric spinal cord using an inner field of view echo-planar imaging sequence.

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Authors:  Y Suetomi; T Kanchiku; S Nishijima; Y Imajo; H Suzuki; Y Yoshida; N Nishida; T Taguchi
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4.  Quantitative assessment of column-specific degeneration in cervical spondylotic myelopathy based on diffusion tensor tractography.

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5.  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

6.  Polyethylene glycol-induced motor recovery after total spinal transection in rats.

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Journal:  CNS Neurosci Ther       Date:  2017-06-14       Impact factor: 5.243

7.  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

8.  The evaluation on neural status of cervical spinal cord in normal and Hirayama disease using diffusion tensor imaging.

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Journal:  Eur Spine J       Date:  2019-05-20       Impact factor: 3.134

9.  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

10.  Quantifying the impact of underlying measurement error on cervical spinal cord diffusion tensor imaging at 3T.

Authors:  Samantha By; Alex K Smith; Lindsey M Dethrage; Bailey D Lyttle; Bennett A Landman; Jeffrey L Creasy; Siddharama Pawate; Seth A Smith
Journal:  J Magn Reson Imaging       Date:  2016-05-18       Impact factor: 4.813

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