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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...

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Autores principales: Rodríguez-Montaño, Óscar Libardo, Cortés-Rodríguez, Carlos Julio, Uva, Antonio Emmanuele, Fiorentino, Michele, Gattullo, Michele, Manghisi, Vito Modesto, Boccaccio, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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