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Smart bone plates can monitor fracture healing
There are currently no standardized methods for assessing fracture healing, with physicians relying on X-rays which are only useful at later stages of repair. Using in vivo mouse fracture models, we present the first evidence that microscale instrumented implants provide a route for post-operative f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375940/ https://www.ncbi.nlm.nih.gov/pubmed/30765721 http://dx.doi.org/10.1038/s41598-018-37784-0 |
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author | Lin, Monica C. Hu, Diane Marmor, Meir Herfat, Safa T. Bahney, Chelsea S. Maharbiz, Michel M. |
author_facet | Lin, Monica C. Hu, Diane Marmor, Meir Herfat, Safa T. Bahney, Chelsea S. Maharbiz, Michel M. |
author_sort | Lin, Monica C. |
collection | PubMed |
description | There are currently no standardized methods for assessing fracture healing, with physicians relying on X-rays which are only useful at later stages of repair. Using in vivo mouse fracture models, we present the first evidence that microscale instrumented implants provide a route for post-operative fracture monitoring, utilizing electrical impedance spectroscopy (EIS) to track the healing tissue with high sensitivity. In this study, we fixed mouse long bone fractures with external fixators and bone plates. EIS measurements taken across two microelectrodes within the fracture gap were able to track longitudinal differences between individual mice with good versus poor healing. We additionally present an equivalent circuit model that combines the EIS data to classify fracture repair states. Lastly, we show that EIS measurements strongly correlated with standard quantitative µCT values and that these correlations validate clinically-relevant operating frequencies for implementation of this technique. These results demonstrate that EIS can be integrated into current fracture management strategies such as bone plating, providing physicians with quantitative information about the state of fracture repair to guide clinical decision-making for patients. |
format | Online Article Text |
id | pubmed-6375940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63759402019-02-19 Smart bone plates can monitor fracture healing Lin, Monica C. Hu, Diane Marmor, Meir Herfat, Safa T. Bahney, Chelsea S. Maharbiz, Michel M. Sci Rep Article There are currently no standardized methods for assessing fracture healing, with physicians relying on X-rays which are only useful at later stages of repair. Using in vivo mouse fracture models, we present the first evidence that microscale instrumented implants provide a route for post-operative fracture monitoring, utilizing electrical impedance spectroscopy (EIS) to track the healing tissue with high sensitivity. In this study, we fixed mouse long bone fractures with external fixators and bone plates. EIS measurements taken across two microelectrodes within the fracture gap were able to track longitudinal differences between individual mice with good versus poor healing. We additionally present an equivalent circuit model that combines the EIS data to classify fracture repair states. Lastly, we show that EIS measurements strongly correlated with standard quantitative µCT values and that these correlations validate clinically-relevant operating frequencies for implementation of this technique. These results demonstrate that EIS can be integrated into current fracture management strategies such as bone plating, providing physicians with quantitative information about the state of fracture repair to guide clinical decision-making for patients. Nature Publishing Group UK 2019-02-14 /pmc/articles/PMC6375940/ /pubmed/30765721 http://dx.doi.org/10.1038/s41598-018-37784-0 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lin, Monica C. Hu, Diane Marmor, Meir Herfat, Safa T. Bahney, Chelsea S. Maharbiz, Michel M. Smart bone plates can monitor fracture healing |
title | Smart bone plates can monitor fracture healing |
title_full | Smart bone plates can monitor fracture healing |
title_fullStr | Smart bone plates can monitor fracture healing |
title_full_unstemmed | Smart bone plates can monitor fracture healing |
title_short | Smart bone plates can monitor fracture healing |
title_sort | smart bone plates can monitor fracture healing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375940/ https://www.ncbi.nlm.nih.gov/pubmed/30765721 http://dx.doi.org/10.1038/s41598-018-37784-0 |
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