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A coupled computational framework for bone fracture healing and long‐term remodelling: Investigating the role of internal fixation on bone fractures
In this study, a coupled computational modelling framework for bone fracture repair is presented that enables predictions of both healing and remodelling phases of the fracture region and is used to investigate the role of an internal fixation plate on the long‐term healing performance of a fracture...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540005/ https://www.ncbi.nlm.nih.gov/pubmed/35485134 http://dx.doi.org/10.1002/cnm.3609 |
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author | Quinn, Conall Kopp, Alexander Vaughan, Ted J. |
author_facet | Quinn, Conall Kopp, Alexander Vaughan, Ted J. |
author_sort | Quinn, Conall |
collection | PubMed |
description | In this study, a coupled computational modelling framework for bone fracture repair is presented that enables predictions of both healing and remodelling phases of the fracture region and is used to investigate the role of an internal fixation plate on the long‐term healing performance of a fracture tibia under a range of different conditions. It was found that introduction of a titanium plate allowed the tibia to undergo successful healing at higher loading conditions and fracture gaps, compared with the non‐plated versions. While these plated cases showed faster rates of repair in the healing phase, their performance was substantially different once they entered the remodelling phase, with substantial regions of stress shielding predicted. This framework is one of the few implementations of both fracture healing and remodelling phases of bone repair and includes several innovative approaches to smoothing, time‐averaging and time incrementation in its implementation, thereby avoiding any unwanted abrupt changes between tissue phenotypes. This provides a better representation of tissue development in the fracture site when compared with fracture healing models alone and provides a suitable platform to investigate the long‐term performance of orthopaedic fixation devices. This would enable the more effective design of permanent fixation devices and optimisation of the spatial and temporal performance of bioabsorbable implants. |
format | Online Article Text |
id | pubmed-9540005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95400052022-10-14 A coupled computational framework for bone fracture healing and long‐term remodelling: Investigating the role of internal fixation on bone fractures Quinn, Conall Kopp, Alexander Vaughan, Ted J. Int J Numer Method Biomed Eng Basic Research In this study, a coupled computational modelling framework for bone fracture repair is presented that enables predictions of both healing and remodelling phases of the fracture region and is used to investigate the role of an internal fixation plate on the long‐term healing performance of a fracture tibia under a range of different conditions. It was found that introduction of a titanium plate allowed the tibia to undergo successful healing at higher loading conditions and fracture gaps, compared with the non‐plated versions. While these plated cases showed faster rates of repair in the healing phase, their performance was substantially different once they entered the remodelling phase, with substantial regions of stress shielding predicted. This framework is one of the few implementations of both fracture healing and remodelling phases of bone repair and includes several innovative approaches to smoothing, time‐averaging and time incrementation in its implementation, thereby avoiding any unwanted abrupt changes between tissue phenotypes. This provides a better representation of tissue development in the fracture site when compared with fracture healing models alone and provides a suitable platform to investigate the long‐term performance of orthopaedic fixation devices. This would enable the more effective design of permanent fixation devices and optimisation of the spatial and temporal performance of bioabsorbable implants. John Wiley & Sons, Inc. 2022-05-11 2022-07 /pmc/articles/PMC9540005/ /pubmed/35485134 http://dx.doi.org/10.1002/cnm.3609 Text en © 2022 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Basic Research Quinn, Conall Kopp, Alexander Vaughan, Ted J. A coupled computational framework for bone fracture healing and long‐term remodelling: Investigating the role of internal fixation on bone fractures |
title | A coupled computational framework for bone fracture healing and long‐term remodelling: Investigating the role of internal fixation on bone fractures |
title_full | A coupled computational framework for bone fracture healing and long‐term remodelling: Investigating the role of internal fixation on bone fractures |
title_fullStr | A coupled computational framework for bone fracture healing and long‐term remodelling: Investigating the role of internal fixation on bone fractures |
title_full_unstemmed | A coupled computational framework for bone fracture healing and long‐term remodelling: Investigating the role of internal fixation on bone fractures |
title_short | A coupled computational framework for bone fracture healing and long‐term remodelling: Investigating the role of internal fixation on bone fractures |
title_sort | coupled computational framework for bone fracture healing and long‐term remodelling: investigating the role of internal fixation on bone fractures |
topic | Basic Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540005/ https://www.ncbi.nlm.nih.gov/pubmed/35485134 http://dx.doi.org/10.1002/cnm.3609 |
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