2018
DOI: 10.1080/15389588.2018.1498090
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Computational modeling and analysis of thoracolumbar spine fractures in frontal crash reconstruction

Abstract: This study provided a computational framework for assessing thoracolumbar fractures and also quantified the effect of precrash driver posture on thoracolumbar response. Results aid in the evaluation of motor vehicle crash-induced vertebral fractures and the understanding of factors contributing to fracture risk.

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Cited by 10 publications
(6 citation statements)
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“…As our research showed, flexion bending should be considered in the evaluation of injury risk as it might highly contribute to lumbar spine fractures. The combined load of an axial compression force and bending moment was investigated by ( Ye et al, 2018 ). They proposed LSI which in our study indicated that a fracture may occur in the lumbar section; however, the index was not able to indicate the specific location of the injury.…”
Section: Discussionmentioning
confidence: 99%
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“…As our research showed, flexion bending should be considered in the evaluation of injury risk as it might highly contribute to lumbar spine fractures. The combined load of an axial compression force and bending moment was investigated by ( Ye et al, 2018 ). They proposed LSI which in our study indicated that a fracture may occur in the lumbar section; however, the index was not able to indicate the specific location of the injury.…”
Section: Discussionmentioning
confidence: 99%
“…Several criteria from the literature were applied to capture the possible fractures in the detailed model. The first was a lumbar spine index (LSI) proposed by ( Ye et al, 2018 ). This index is based on the combined load of an axial compression force and the resultant bending moment in each vertebra of the lumbar spine.…”
Section: Methodsmentioning
confidence: 99%
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“…Thoracolumbar fractures are most common spine fractures 1 , 2 . Pedicle screw internal fixation (PSF) is often used for thoracolumbar spinal fractures.…”
Section: Introductionmentioning
confidence: 99%
“…In the research by (Arun et al, 2017), they used the HBM developed by Global Human Body Model Consortium (GHBMC). However, THUMS was used by (Golman et al, 2014;Gaewsky et al, 2015;Jones et al, 2016;Ye et al, 2018), and ViVAopen source HBM was adopted by (Östh et al, 2015; Östh et al, 2016a; Östh et al, 2016b; Östh et al, 2017a; Östh et al, 2017b). The latter model was chosen for this study because it was an open source project, and it was a model of 50 th percentile female, for whom there was evidence that they could be more vulnerable during vehicle collisions (Pintar et al, 2012;Kaufman et al, 2013;Östh et al, 2017b).…”
Section: Introductionmentioning
confidence: 99%