Literature DB >> 12489104

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

Chris A Clark1, David J Werring.   

Abstract

The spinal cord is a clinically eloquent site within the central nervous system, containing important sensorimotor tracts confined within a small cross-sectional area. Damage to the spinal cord may be caused by a wide range of pathologies, and can result in profound functional disability. Characterization of the structural integrity of the spinal cord can be assessed using diffusion tensor imaging methods. Development and application of this technique may improve our understanding of the nature and evolution of structural damage in spinal cord disease. Possible developments include improved detection of ischaemic lesions, clarification of the relationship between clinical disability and structural damage to the cord and monitoring of anti-inflammatory or neuroprotective therapies. In this review current technical aspects, clinical applications and the suggested future development of spinal cord diffusion imaging are discussed. Copyright 2002 John Wiley & Sons, Ltd.

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Year:  2002        PMID: 12489104     DOI: 10.1002/nbm.788

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  29 in total

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

Authors:  N Barakat; F B Mohamed; L N Hunter; P Shah; S H Faro; A F Samdani; J Finsterbusch; R Betz; J Gaughan; M J Mulcahey
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-02       Impact factor: 3.825

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.  A preliminary study of the effects of trigger timing on diffusion tensor imaging of the human spinal cord.

Authors:  P Summers; P Staempfli; T Jaermann; S Kwiecinski; S Kollias
Journal:  AJNR Am J Neuroradiol       Date:  2006-10       Impact factor: 3.825

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.  Multi-parametric neuroimaging reproducibility: a 3-T resource study.

Authors:  Bennett A Landman; Alan J Huang; Aliya Gifford; Deepti S Vikram; Issel Anne L Lim; Jonathan A D Farrell; John A Bogovic; Jun Hua; Min Chen; Samson Jarso; Seth A Smith; Suresh Joel; Susumu Mori; James J Pekar; Peter B Barker; Jerry L Prince; Peter C M van Zijl
Journal:  Neuroimage       Date:  2010-11-20       Impact factor: 6.556

6.  Attenuation of lower-thoracic, lumbar, and sacral spinal cord motion: implications for imaging human spinal cord structure and function.

Authors:  C R Figley; D Yau; P W Stroman
Journal:  AJNR Am J Neuroradiol       Date:  2008-06-04       Impact factor: 3.825

Review 7.  Advanced MRI strategies for assessing spinal cord injury.

Authors:  Seth A Smith; James J Pekar; Peter C M van Zijl
Journal:  Handb Clin Neurol       Date:  2012

8.  Diffusion tensor imaging of the mouse brainstem and cervical spinal cord.

Authors:  Joong Hee Kim; Sheng-Kwei Song
Journal:  Nat Protoc       Date:  2013-02       Impact factor: 13.491

9.  Diffusion tensor imaging (DTI) and tractography of the brachial plexus: feasibility and initial experience in neoplastic conditions.

Authors:  Maria Isabel Vargas; Magalie Viallon; Duy Nguyen; Jacqueline Delavelle; Minerva Becker
Journal:  Neuroradiology       Date:  2010-03       Impact factor: 2.804

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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