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Development and validation of a timely and representative finite element human spine model for biomechanical simulations
Numerous spine Finite Element (FE) models have been developed to assess spinal tolerances, spinal loadings and low back pain-related issues. However, justified simplifications, in terms of tissue decomposition and inclusion, for such a complex system may overlook crucial information. Thus, the purpo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725813/ https://www.ncbi.nlm.nih.gov/pubmed/33298988 http://dx.doi.org/10.1038/s41598-020-77469-1 |
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author | El Bojairami, Ibrahim El-Monajjed, Khaled Driscoll, Mark |
author_facet | El Bojairami, Ibrahim El-Monajjed, Khaled Driscoll, Mark |
author_sort | El Bojairami, Ibrahim |
collection | PubMed |
description | Numerous spine Finite Element (FE) models have been developed to assess spinal tolerances, spinal loadings and low back pain-related issues. However, justified simplifications, in terms of tissue decomposition and inclusion, for such a complex system may overlook crucial information. Thus, the purpose of this research was to develop and validate a comprehensive and representative spine FE model inclusive of an accurate representation of all major torso elements. A comprehensive model comprised of 273 tissues was developed via a novel FE meshing method to enhance computational feasibility. A comprehensive set of indirect validation tests were carried out to validate every aspect of the model. Under an increasing angular displacement of 24°–41°, the lumbar spine recorded an increasing moment from 5.5 to 9.3 Nm with an increase in IVD pressures from 0.41 to 0.66 MPa. Under forward flexion, vertical vertebral displacements simulated a 6% and 13% maximum discrepancy for intra-abdominal and intramuscular pressure results, all closely resembling previously documented in silico measured values. The developed state-of-the-art model includes most physiological tissues known to contribute to spinal loadings. Given the simulation’s accuracy, confirmed by its validation tests, the developed model may serve as a reliable spinal assessment tool. |
format | Online Article Text |
id | pubmed-7725813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77258132020-12-14 Development and validation of a timely and representative finite element human spine model for biomechanical simulations El Bojairami, Ibrahim El-Monajjed, Khaled Driscoll, Mark Sci Rep Article Numerous spine Finite Element (FE) models have been developed to assess spinal tolerances, spinal loadings and low back pain-related issues. However, justified simplifications, in terms of tissue decomposition and inclusion, for such a complex system may overlook crucial information. Thus, the purpose of this research was to develop and validate a comprehensive and representative spine FE model inclusive of an accurate representation of all major torso elements. A comprehensive model comprised of 273 tissues was developed via a novel FE meshing method to enhance computational feasibility. A comprehensive set of indirect validation tests were carried out to validate every aspect of the model. Under an increasing angular displacement of 24°–41°, the lumbar spine recorded an increasing moment from 5.5 to 9.3 Nm with an increase in IVD pressures from 0.41 to 0.66 MPa. Under forward flexion, vertical vertebral displacements simulated a 6% and 13% maximum discrepancy for intra-abdominal and intramuscular pressure results, all closely resembling previously documented in silico measured values. The developed state-of-the-art model includes most physiological tissues known to contribute to spinal loadings. Given the simulation’s accuracy, confirmed by its validation tests, the developed model may serve as a reliable spinal assessment tool. Nature Publishing Group UK 2020-12-09 /pmc/articles/PMC7725813/ /pubmed/33298988 http://dx.doi.org/10.1038/s41598-020-77469-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article El Bojairami, Ibrahim El-Monajjed, Khaled Driscoll, Mark Development and validation of a timely and representative finite element human spine model for biomechanical simulations |
title | Development and validation of a timely and representative finite element human spine model for biomechanical simulations |
title_full | Development and validation of a timely and representative finite element human spine model for biomechanical simulations |
title_fullStr | Development and validation of a timely and representative finite element human spine model for biomechanical simulations |
title_full_unstemmed | Development and validation of a timely and representative finite element human spine model for biomechanical simulations |
title_short | Development and validation of a timely and representative finite element human spine model for biomechanical simulations |
title_sort | development and validation of a timely and representative finite element human spine model for biomechanical simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725813/ https://www.ncbi.nlm.nih.gov/pubmed/33298988 http://dx.doi.org/10.1038/s41598-020-77469-1 |
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