Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/118880
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Engineering approaches to understanding mechanisms of spinal column injury leading to spinal cord injury
Author: Jones, C.F.
Clarke, E.C.
Citation: Clinical Biomechanics, 2019; 64:69-81
Publisher: Elsevier
Issue Date: 2019
ISSN: 0268-0033
1879-1271
Statement of
Responsibility: 
Claire F. Jones, Elizabeth C. Clarke
Abstract: Background: The mechanical interactions occurring between the spinal column and spinal cord during an injury event are complex and variable, and likely have implications for the clinical presentation and prognosis of the individual. Methods: The engineering approaches that have been developed to better understand spinal column and cord interactions during an injury event are discussed. These include injury models utilising human and animal cadaveric specimens, in vivo anaesthetised animals, finite element models, inanimate physical systems and combinations thereof. Findings: The paper describes the development of these modelling approaches, discusses the advantages and disadvantages of the various models, and the major outcomes that have had implications for spinal cord injury research and clinical practice. Interpretation: The contribution of these four engineering approaches to understanding the interaction between the biomechanics and biology of spinal cord injury is substantial; they have improved our understanding of the factors contributing to the spinal column disruption, the degree of spinal cord deformation or motion, and the resultant neurological deficit and imaging features. Models of the injury event are challenging to produce, but technological advances are likely to improve these models and, consequently, our understanding of the mechanical context in which the biological injury occurs.
Keywords: Cadaveric; animal model; surrogate; finite element model; closed column; spinal cord injury
Rights: © 2018 Elsevier Ltd. All rights reserved.
RMID: 0030107467
DOI: 10.1016/j.clinbiomech.2018.03.019
Grant ID: http://purl.org/au-research/grants/nhmrc/1072387
Appears in Collections:Medicine publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.