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Computational Challenges in Tissue Engineering for the Spine
This paper deals with a brief review of the recent developments in computational modelling applied to innovative treatments of spine diseases. Additionally, it provides a perspective on the research directions expected for the forthcoming years. The spine is composed of distinct and complex tissues...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918040/ https://www.ncbi.nlm.nih.gov/pubmed/33671854 http://dx.doi.org/10.3390/bioengineering8020025 |
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author | Castro, André P. G. |
author_facet | Castro, André P. G. |
author_sort | Castro, André P. G. |
collection | PubMed |
description | This paper deals with a brief review of the recent developments in computational modelling applied to innovative treatments of spine diseases. Additionally, it provides a perspective on the research directions expected for the forthcoming years. The spine is composed of distinct and complex tissues that require specific modelling approaches. With the advent of additive manufacturing and increasing computational power, patient-specific treatments have moved from being a research trend to a reality in clinical practice, but there are many issues to be addressed before such approaches become universal. Here, it is identified that the major setback resides in validation of these computational techniques prior to approval by regulatory agencies. Nevertheless, there are very promising indicators in terms of optimised scaffold modelling for both disc arthroplasty and vertebroplasty, powered by a decisive contribution from imaging methods. |
format | Online Article Text |
id | pubmed-7918040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79180402021-03-02 Computational Challenges in Tissue Engineering for the Spine Castro, André P. G. Bioengineering (Basel) Review This paper deals with a brief review of the recent developments in computational modelling applied to innovative treatments of spine diseases. Additionally, it provides a perspective on the research directions expected for the forthcoming years. The spine is composed of distinct and complex tissues that require specific modelling approaches. With the advent of additive manufacturing and increasing computational power, patient-specific treatments have moved from being a research trend to a reality in clinical practice, but there are many issues to be addressed before such approaches become universal. Here, it is identified that the major setback resides in validation of these computational techniques prior to approval by regulatory agencies. Nevertheless, there are very promising indicators in terms of optimised scaffold modelling for both disc arthroplasty and vertebroplasty, powered by a decisive contribution from imaging methods. MDPI 2021-02-15 /pmc/articles/PMC7918040/ /pubmed/33671854 http://dx.doi.org/10.3390/bioengineering8020025 Text en © 2021 by the author. 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 | Review Castro, André P. G. Computational Challenges in Tissue Engineering for the Spine |
title | Computational Challenges in Tissue Engineering for the Spine |
title_full | Computational Challenges in Tissue Engineering for the Spine |
title_fullStr | Computational Challenges in Tissue Engineering for the Spine |
title_full_unstemmed | Computational Challenges in Tissue Engineering for the Spine |
title_short | Computational Challenges in Tissue Engineering for the Spine |
title_sort | computational challenges in tissue engineering for the spine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918040/ https://www.ncbi.nlm.nih.gov/pubmed/33671854 http://dx.doi.org/10.3390/bioengineering8020025 |
work_keys_str_mv | AT castroandrepg computationalchallengesintissueengineeringforthespine |