Literature DB >> 26509120

Pain and spinal cord imaging measures in children with demyelinating disease.

Nadia Barakat1, Mark P Gorman2, Leslie Benson2, Lino Becerra3, David Borsook3.   

Abstract

Pain is a significant problem in diseases affecting the spinal cord, including demyelinating disease. To date, studies have examined the reliability of clinical measures for assessing and classifying the severity of spinal cord injury (SCI) and also to evaluate SCI-related pain. Most of this research has focused on adult populations and patients with traumatic injuries. Little research exists regarding pediatric spinal cord demyelinating disease. One reason for this is the lack of reliable and useful approaches to measuring spinal cord changes since currently used diagnostic imaging has limited specificity for quantitative measures of demyelination. No single imaging technique demonstrates sufficiently high sensitivity or specificity to myelin, and strong correlation with clinical measures. However, recent advances in diffusion tensor imaging (DTI) and magnetization transfer imaging (MTI) measures are considered promising in providing increasingly useful and specific information on spinal cord damage. Findings from these quantitative imaging modalities correlate with the extent of demyelination and remyelination. These techniques may be of potential use for defining the evolution of the disease state, how it may affect specific spinal cord pathways, and contribute to the management of pediatric demyelination syndromes. Since pain is a major presenting symptom in patients with transverse myelitis, the disease is an ideal model to evaluate imaging methods to define these regional changes within the spinal cord. In this review we summarize (1) pediatric demyelinating conditions affecting the spinal cord; (2) their distinguishing features; and (3) current diagnostic and classification methods with particular focus on pain pathways. We also focus on concepts that are essential in developing strategies for the detection, monitoring, treatment and repair of pediatric myelitis.

Entities:  

Keywords:  Chronic pain; DTI; Inflammation; MRI; MTI

Mesh:

Year:  2015        PMID: 26509120      PMCID: PMC4588416          DOI: 10.1016/j.nicl.2015.08.019

Source DB:  PubMed          Journal:  Neuroimage Clin        ISSN: 2213-1582            Impact factor:   4.881


  124 in total

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Authors:  Erin L MacMillan; Burkhard Mädler; Nicole Fichtner; Marcel F Dvorak; David K B Li; Armin Curt; Alex L MacKay
Journal:  Neuroimage       Date:  2010-09-09       Impact factor: 6.556

2.  Subjective acceptance of 7 Tesla MRI for human imaging.

Authors:  Jens M Theysohn; Stefan Maderwald; Oliver Kraff; Christoph Moenninghoff; Mark E Ladd; Susanne C Ladd
Journal:  MAGMA       Date:  2007-12-07       Impact factor: 2.310

3.  Acute flaccid myelitis and enteroviruses: an ongoing story.

Authors:  Audrey Mirand; Hélène Peigue-Lafeuille
Journal:  Lancet       Date:  2015-01-29       Impact factor: 79.321

Review 4.  Neurological grading in traumatic spinal cord injury.

Authors:  Sukhvinder Kalsi-Ryan; Jefferson Wilson; Jinghao Mary Yang; Michael G Fehlings
Journal:  World Neurosurg       Date:  2013-01-05       Impact factor: 2.104

5.  Diffusion tensor imaging correlates with the clinical assessment of disease severity in cervical spondylotic myelopathy and predicts outcome following surgery.

Authors:  J G A Jones; S Y Cen; R M Lebel; P C Hsieh; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-19       Impact factor: 3.825

6.  International standards for neurological classification of spinal cord injury, revised 2011.

Authors:  Stephen Burns; Fin Biering-Sørensen; William Donovan; Daniel E Graves; Amitabh Jha; Mark Johansen; Linda Jones; Andrei Krassioukov; Steven Kirshblum; M J Mulcahey; Mary Schmidt Read; William Waring
Journal:  Top Spinal Cord Inj Rehabil       Date:  2012

7.  Clinical evaluation of reduced field-of-view diffusion-weighted imaging of the cervical and thoracic spine and spinal cord.

Authors:  J B Andre; G Zaharchuk; E Saritas; S Komakula; A Shankaranarayan; S Banerjee; J Rosenberg; D G Nishimura; N J Fischbein
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-03       Impact factor: 3.825

8.  Correlation of MR diffusion tensor imaging parameters with ASIA motor scores in hemorrhagic and nonhemorrhagic acute spinal cord injury.

Authors:  Sendhil Cheran; Kathirkamanathan Shanmuganathan; Jiachen Zhuo; Stuart E Mirvis; Bizhan Aarabi; Melvin T Alexander; Rao P Gullapalli
Journal:  J Neurotrauma       Date:  2011-08-29       Impact factor: 5.269

9.  Spinal rigidity following acute myelitis.

Authors:  P Brown; N P Quinn; D Barnes; D R Wren; C D Marsden
Journal:  Mov Disord       Date:  1997-11       Impact factor: 10.338

10.  Functional outcomes and disability after nontraumatic spinal cord injury rehabilitation: Results from a retrospective study.

Authors:  Peter W New
Journal:  Arch Phys Med Rehabil       Date:  2005-02       Impact factor: 3.966

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  3 in total

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Authors:  Bashak Onal; Marta Ríos León; Marika Augutis; Emily Mattacola; Allison Graham; Kirsten Hart; Erin Kelly; Anke Scheel-Sailer; Julian Taylor
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2.  Recent Developments in Diffusion Tensor Imaging of Brain.

Authors:  Mansi Bharat Parekh; Abhijit Achyut Gurjarpadhye; Martin A C Manoukian; Arita Dubnika; Jayakumar Rajadas; Mohammed Inayathullah
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Journal:  Front Immunol       Date:  2020-09-29       Impact factor: 7.561

  3 in total

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