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Computationally designed lattices with tuned properties for tissue engineering using 3D printing

Tissue scaffolds provide structural support while facilitating tissue growth, but are challenging to design due to diverse property trade-offs. Here, a computational approach was developed for modeling scaffolds with lattice structures of eight different topologies and assessing properties relevant...

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Autores principales: Egan, Paul F., Gonella, Veronica C., Engensperger, Max, Ferguson, Stephen J., Shea, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552288/
https://www.ncbi.nlm.nih.gov/pubmed/28797066
http://dx.doi.org/10.1371/journal.pone.0182902
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author Egan, Paul F.
Gonella, Veronica C.
Engensperger, Max
Ferguson, Stephen J.
Shea, Kristina
author_facet Egan, Paul F.
Gonella, Veronica C.
Engensperger, Max
Ferguson, Stephen J.
Shea, Kristina
author_sort Egan, Paul F.
collection PubMed
description Tissue scaffolds provide structural support while facilitating tissue growth, but are challenging to design due to diverse property trade-offs. Here, a computational approach was developed for modeling scaffolds with lattice structures of eight different topologies and assessing properties relevant to bone tissue engineering applications. Evaluated properties include porosity, pore size, surface-volume ratio, elastic modulus, shear modulus, and permeability. Lattice topologies were generated by patterning beam-based unit cells, with design parameters for beam diameter and unit cell length. Finite element simulations were conducted for each topology and quantified how elastic modulus and shear modulus scale with porosity, and how permeability scales with porosity cubed over surface-volume ratio squared. Lattices were compared with controlled properties related to porosity and pore size. Relative comparisons suggest that lattice topology leads to specializations in achievable properties. For instance, Cube topologies tend to have high elastic and low shear moduli while Octet topologies have high shear moduli and surface-volume ratios but low permeability. The developed method was utilized to analyze property trade-offs as beam diameter was altered for a given topology, and used to prototype a 3D printed lattice embedded in an interbody cage for spinal fusion treatments. Findings provide a basis for modeling and understanding relative differences among beam-based lattices designed to facilitate bone tissue growth.
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spelling pubmed-55522882017-08-25 Computationally designed lattices with tuned properties for tissue engineering using 3D printing Egan, Paul F. Gonella, Veronica C. Engensperger, Max Ferguson, Stephen J. Shea, Kristina PLoS One Research Article Tissue scaffolds provide structural support while facilitating tissue growth, but are challenging to design due to diverse property trade-offs. Here, a computational approach was developed for modeling scaffolds with lattice structures of eight different topologies and assessing properties relevant to bone tissue engineering applications. Evaluated properties include porosity, pore size, surface-volume ratio, elastic modulus, shear modulus, and permeability. Lattice topologies were generated by patterning beam-based unit cells, with design parameters for beam diameter and unit cell length. Finite element simulations were conducted for each topology and quantified how elastic modulus and shear modulus scale with porosity, and how permeability scales with porosity cubed over surface-volume ratio squared. Lattices were compared with controlled properties related to porosity and pore size. Relative comparisons suggest that lattice topology leads to specializations in achievable properties. For instance, Cube topologies tend to have high elastic and low shear moduli while Octet topologies have high shear moduli and surface-volume ratios but low permeability. The developed method was utilized to analyze property trade-offs as beam diameter was altered for a given topology, and used to prototype a 3D printed lattice embedded in an interbody cage for spinal fusion treatments. Findings provide a basis for modeling and understanding relative differences among beam-based lattices designed to facilitate bone tissue growth. Public Library of Science 2017-08-10 /pmc/articles/PMC5552288/ /pubmed/28797066 http://dx.doi.org/10.1371/journal.pone.0182902 Text en © 2017 Egan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Egan, Paul F.
Gonella, Veronica C.
Engensperger, Max
Ferguson, Stephen J.
Shea, Kristina
Computationally designed lattices with tuned properties for tissue engineering using 3D printing
title Computationally designed lattices with tuned properties for tissue engineering using 3D printing
title_full Computationally designed lattices with tuned properties for tissue engineering using 3D printing
title_fullStr Computationally designed lattices with tuned properties for tissue engineering using 3D printing
title_full_unstemmed Computationally designed lattices with tuned properties for tissue engineering using 3D printing
title_short Computationally designed lattices with tuned properties for tissue engineering using 3D printing
title_sort computationally designed lattices with tuned properties for tissue engineering using 3d printing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552288/
https://www.ncbi.nlm.nih.gov/pubmed/28797066
http://dx.doi.org/10.1371/journal.pone.0182902
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