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Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model
Mechanical loading allows both investigation into the mechano-regulation of fracture healing as well as interventions to improve fracture-healing outcomes such as delayed healing or non-unions. However, loading is seldom individualised or even targeted to an effective mechanical stimulus level withi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241979/ https://www.ncbi.nlm.nih.gov/pubmed/34188165 http://dx.doi.org/10.1038/s41598-021-92961-y |
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author | Paul, Graeme R. Wehrle, Esther Tourolle, Duncan C. Kuhn, Gisela A. Müller, Ralph |
author_facet | Paul, Graeme R. Wehrle, Esther Tourolle, Duncan C. Kuhn, Gisela A. Müller, Ralph |
author_sort | Paul, Graeme R. |
collection | PubMed |
description | Mechanical loading allows both investigation into the mechano-regulation of fracture healing as well as interventions to improve fracture-healing outcomes such as delayed healing or non-unions. However, loading is seldom individualised or even targeted to an effective mechanical stimulus level within the bone tissue. In this study, we use micro-finite element analysis to demonstrate the result of using a constant loading assumption for all mouse femurs in a given group. We then contrast this with the application of an adaptive loading approach, denoted real time Finite Element adaptation, in which micro-computed tomography images provide the basis for micro-FE based simulations and the resulting strains are manipulated and targeted to a reference distribution. Using this approach, we demonstrate that individualised femoral loading leads to a better-specified strain distribution and lower variance in tissue mechanical stimulus across all mice, both longitudinally and cross-sectionally, while making sure that no overloading is occurring leading to refracture of the femur bones. |
format | Online Article Text |
id | pubmed-8241979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82419792021-07-06 Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model Paul, Graeme R. Wehrle, Esther Tourolle, Duncan C. Kuhn, Gisela A. Müller, Ralph Sci Rep Article Mechanical loading allows both investigation into the mechano-regulation of fracture healing as well as interventions to improve fracture-healing outcomes such as delayed healing or non-unions. However, loading is seldom individualised or even targeted to an effective mechanical stimulus level within the bone tissue. In this study, we use micro-finite element analysis to demonstrate the result of using a constant loading assumption for all mouse femurs in a given group. We then contrast this with the application of an adaptive loading approach, denoted real time Finite Element adaptation, in which micro-computed tomography images provide the basis for micro-FE based simulations and the resulting strains are manipulated and targeted to a reference distribution. Using this approach, we demonstrate that individualised femoral loading leads to a better-specified strain distribution and lower variance in tissue mechanical stimulus across all mice, both longitudinally and cross-sectionally, while making sure that no overloading is occurring leading to refracture of the femur bones. Nature Publishing Group UK 2021-06-29 /pmc/articles/PMC8241979/ /pubmed/34188165 http://dx.doi.org/10.1038/s41598-021-92961-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Paul, Graeme R. Wehrle, Esther Tourolle, Duncan C. Kuhn, Gisela A. Müller, Ralph Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model |
title | Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model |
title_full | Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model |
title_fullStr | Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model |
title_full_unstemmed | Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model |
title_short | Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model |
title_sort | real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241979/ https://www.ncbi.nlm.nih.gov/pubmed/34188165 http://dx.doi.org/10.1038/s41598-021-92961-y |
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