Literature DB >> 28774580

Advancing imaging technologies for patients with spinal pain: with a focus on whiplash injury.

James M Elliott1, Mark J Hancock2, Rebecca J Crawford3, Andrew C Smith4, David M Walton5.   

Abstract

BACKGROUND CONTEXT: Radiological observations of soft-tissue changes that may relate to clinical symptoms in patients with traumatic and non-traumatic spinal disorders are highly controversial. Studies are often of poor quality and findings are inconsistent. A plethora of evidence suggests some pathoanatomical findings from traditional imaging applications are common in asymptomatic participants across the life span, which further questions the diagnostic, prognostic, and theranostic value of traditional imaging. Although we do not dispute the limited evidence for the clinical importance of most imaging findings, we contend that the disparate findings across studies may in part be due to limitations in the approaches used in assessment and analysis of imaging findings.
PURPOSE: This clinical commentary aimed to (1) briefly detail available imaging guidelines, (2) detail research-based evidence around the clinical use of findings from advanced, but available, imaging applications (eg, fat and water magnetic resonance imaging and magnetization transfer imaging), and (3) introduce how evolving imaging technologies may improve our mechanistic understanding of pain and disability, leading to improved treatments and outcomes. STUDY DESIGN/
SETTING: A non-systematic review of the literature is carried out.
METHODS: A narrative summary (including studies from the authors' own work in whiplash injuries) of the available literature is provided.
RESULTS: An emerging body of evidence suggests that the combination of existing imaging sequences or the use of developing imaging technologies in tandem with a good clinical assessment of modifiable risk factors may provide important diagnostic information toward the exploration and development of more informed and effective treatment options for some patients with traumatic neck pain.
CONCLUSIONS: Advancing imaging technologies may help to explain the seemingly disconnected spectrum of biopsychosocial signs and symptoms of traumatic neck pain.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biopsychosocial; Imaging; Low back pain; MRI; Neck pain; Whiplash

Mesh:

Year:  2017        PMID: 28774580      PMCID: PMC6874915          DOI: 10.1016/j.spinee.2017.06.015

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  123 in total

1.  Multicoil Dixon chemical species separation with an iterative least-squares estimation method.

Authors:  Scott B Reeder; Zhifei Wen; Huanzhou Yu; Angel R Pineda; Garry E Gold; Michael Markl; Norbert J Pelc
Journal:  Magn Reson Med       Date:  2004-01       Impact factor: 4.668

Review 2.  Are there implications for morphological changes in neck muscles after whiplash injury?

Authors:  James M Elliott
Journal:  Spine (Phila Pa 1976)       Date:  2011-12-01       Impact factor: 3.468

3.  Magnetization transfer contrast: method for improving contrast in gradient-recalled-echo images.

Authors:  S D Wolff; J Eng; R S Balaban
Journal:  Radiology       Date:  1991-04       Impact factor: 11.105

4.  The clinical presentation of chronic whiplash and the relationship to findings of MRI fatty infiltrates in the cervical extensor musculature: a preliminary investigation.

Authors:  James Elliott; Michele Sterling; Jon Timothy Noteboom; Julia Treleaven; Graham Galloway; Gwendolen Jull
Journal:  Eur Spine J       Date:  2009-08-12       Impact factor: 3.134

5.  Reorganization in Secondary Somatosensory Cortex in Chronic Low Back Pain Patients.

Authors:  Sabina Hotz-Boendermaker; Valentine L Marcar; Michael L Meier; Bart Boendermaker; Barry K Humphreys
Journal:  Spine (Phila Pa 1976)       Date:  2016-06       Impact factor: 3.468

6.  Association of early imaging for back pain with clinical outcomes in older adults.

Authors:  Jeffrey G Jarvik; Laura S Gold; Bryan A Comstock; Patrick J Heagerty; Sean D Rundell; Judith A Turner; Andrew L Avins; Zoya Bauer; Brian W Bresnahan; Janna L Friedly; Kathryn James; Larry Kessler; Srdjan S Nedeljkovic; David R Nerenz; Xu Shi; Sean D Sullivan; Leighton Chan; Jason M Schwalb; Richard A Deyo
Journal:  JAMA       Date:  2015-03-17       Impact factor: 56.272

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.  Relationships between fatty infiltration in the thigh and calf in women with knee osteoarthritis.

Authors:  Michael J Davison; Monica R Maly; Jonathan D Adachi; Michael D Noseworthy; Karen A Beattie
Journal:  Aging Clin Exp Res       Date:  2016-03-10       Impact factor: 3.636

9.  Adherence of Irish general practitioners to European guidelines for acute low back pain: a prospective pilot study.

Authors:  Brona M Fullen; Thomas Maher; Gerard Bury; Aodan Tynan; Leslie E Daly; Deirdre A Hurley
Journal:  Eur J Pain       Date:  2006-11-27       Impact factor: 3.931

10.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo.

Authors:  S D Wolff; R S Balaban
Journal:  Magn Reson Med       Date:  1989-04       Impact factor: 4.668

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  3 in total

1.  Does Overall Cervical Spine Pathology Relate to the Clinical Heterogeneity of Chronic Whiplash?

Authors:  James M Elliott; Todd B Parrish; David M Walton; Amy J Vassallo; Joel Fundaun; Marie Wasielewski; D Mark Courtney
Journal:  Am J Emerg Med       Date:  2019-07-01       Impact factor: 2.469

2.  Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?

Authors:  Rebecca J Crawford; Maryse Fortin; Kenneth A Weber; Andrew Smith; James M Elliott
Journal:  J Orthop Sports Phys Ther       Date:  2019-03-26       Impact factor: 4.751

3.  Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury.

Authors:  Kenneth A Weber; Andrew C Smith; Marie Wasielewski; Kamran Eghtesad; Pranav A Upadhyayula; Max Wintermark; Trevor J Hastie; Todd B Parrish; Sean Mackey; James M Elliott
Journal:  Sci Rep       Date:  2019-05-28       Impact factor: 4.379

  3 in total

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