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An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores
Despite the wide use of scaffolds with spherical pores in the clinical context, no studies are reported in the literature that optimize the micro-architecture dimensions of such scaffolds to maximize the amounts of neo-formed bone. In this study, a mechanobiology-based optimization algorithm was imp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559891/ https://www.ncbi.nlm.nih.gov/pubmed/32933165 http://dx.doi.org/10.3390/ma13184062 |
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author | Rodríguez-Montaño, Óscar Libardo Cortés-Rodríguez, Carlos Julio Uva, Antonio Emmanuele Fiorentino, Michele Gattullo, Michele Manghisi, Vito Modesto Boccaccio, Antonio |
author_facet | Rodríguez-Montaño, Óscar Libardo Cortés-Rodríguez, Carlos Julio Uva, Antonio Emmanuele Fiorentino, Michele Gattullo, Michele Manghisi, Vito Modesto Boccaccio, Antonio |
author_sort | Rodríguez-Montaño, Óscar Libardo |
collection | PubMed |
description | Despite the wide use of scaffolds with spherical pores in the clinical context, no studies are reported in the literature that optimize the micro-architecture dimensions of such scaffolds to maximize the amounts of neo-formed bone. In this study, a mechanobiology-based optimization algorithm was implemented to determine the optimal geometry of scaffolds with spherical pores subjected to both compression and shear loading. We found that these scaffolds are particularly suited to bear shear loads; the amounts of bone predicted to form for this load type are, in fact, larger than those predicted in other scaffold geometries. Knowing the anthropometric characteristics of the patient, one can hypothesize the possible value of load acting on the scaffold that will be implanted and, through the proposed algorithm, determine the optimal dimensions of the scaffold that favor the formation of the largest amounts of bone. The proposed algorithm can guide and support the surgeon in the choice of a “personalized” scaffold that better suits the anthropometric characteristics of the patient, thus allowing to achieve a successful follow-up in the shortest possible time. |
format | Online Article Text |
id | pubmed-7559891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75598912020-10-22 An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores Rodríguez-Montaño, Óscar Libardo Cortés-Rodríguez, Carlos Julio Uva, Antonio Emmanuele Fiorentino, Michele Gattullo, Michele Manghisi, Vito Modesto Boccaccio, Antonio Materials (Basel) Communication Despite the wide use of scaffolds with spherical pores in the clinical context, no studies are reported in the literature that optimize the micro-architecture dimensions of such scaffolds to maximize the amounts of neo-formed bone. In this study, a mechanobiology-based optimization algorithm was implemented to determine the optimal geometry of scaffolds with spherical pores subjected to both compression and shear loading. We found that these scaffolds are particularly suited to bear shear loads; the amounts of bone predicted to form for this load type are, in fact, larger than those predicted in other scaffold geometries. Knowing the anthropometric characteristics of the patient, one can hypothesize the possible value of load acting on the scaffold that will be implanted and, through the proposed algorithm, determine the optimal dimensions of the scaffold that favor the formation of the largest amounts of bone. The proposed algorithm can guide and support the surgeon in the choice of a “personalized” scaffold that better suits the anthropometric characteristics of the patient, thus allowing to achieve a successful follow-up in the shortest possible time. MDPI 2020-09-13 /pmc/articles/PMC7559891/ /pubmed/32933165 http://dx.doi.org/10.3390/ma13184062 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Rodríguez-Montaño, Óscar Libardo Cortés-Rodríguez, Carlos Julio Uva, Antonio Emmanuele Fiorentino, Michele Gattullo, Michele Manghisi, Vito Modesto Boccaccio, Antonio An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores |
title | An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores |
title_full | An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores |
title_fullStr | An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores |
title_full_unstemmed | An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores |
title_short | An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores |
title_sort | algorithm to optimize the micro-geometrical dimensions of scaffolds with spherical pores |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559891/ https://www.ncbi.nlm.nih.gov/pubmed/32933165 http://dx.doi.org/10.3390/ma13184062 |
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