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Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis
This study aimed to evaluate the use of bioengineering tools, finite element analysis, strain gauge analysis, photoelastic analysis, and digital image correlation, in computational studies with greater validity and reproducibility. A bibliographic search was performed in the main health databases PU...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406698/ https://www.ncbi.nlm.nih.gov/pubmed/36005243 http://dx.doi.org/10.3390/dj10080145 |
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author | de Matos, Jefferson David Melo Queiroz, Daher Antonio Nakano, Leonardo Jiro Nomura Andrade, Valdir Cabral Ribeiro, Nathália de Carvalho Ramos Borges, Alexandre Luiz Souto Bottino, Marco Antonio Lopes, Guilherme da Rocha Scalzer |
author_facet | de Matos, Jefferson David Melo Queiroz, Daher Antonio Nakano, Leonardo Jiro Nomura Andrade, Valdir Cabral Ribeiro, Nathália de Carvalho Ramos Borges, Alexandre Luiz Souto Bottino, Marco Antonio Lopes, Guilherme da Rocha Scalzer |
author_sort | de Matos, Jefferson David Melo |
collection | PubMed |
description | This study aimed to evaluate the use of bioengineering tools, finite element analysis, strain gauge analysis, photoelastic analysis, and digital image correlation, in computational studies with greater validity and reproducibility. A bibliographic search was performed in the main health databases PUBMED and Scholar Google, in which different studies, among them, laboratory studies, case reports, systematic reviews, and literature reviews, which were developed in living individuals, were included. Therefore, articles that did not deal with the use of finite element analysis, strain gauge analysis, photoelastic analysis, and digital image correlation were excluded, as well as their use in computational studies with greater validity and reproducibility. According to the methodological analysis, it is observed that the average publication of articles in the Pubmed database was 2.03 and with a standard deviation of 1.89. While in Google Scholar, the average was 0.78 and the standard deviation was 0.90. Thus, it is possible to verify that there was a significant variation in the number of articles in the two databases. Modern dentistry finds in finite element analysis, strain gauge, photoelastic and digital image correlation a way to analyze the biomechanical behavior in dental materials to obtain results that assist to obtain rehabilitations with favorable prognosis and patient satisfaction. |
format | Online Article Text |
id | pubmed-9406698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94066982022-08-26 Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis de Matos, Jefferson David Melo Queiroz, Daher Antonio Nakano, Leonardo Jiro Nomura Andrade, Valdir Cabral Ribeiro, Nathália de Carvalho Ramos Borges, Alexandre Luiz Souto Bottino, Marco Antonio Lopes, Guilherme da Rocha Scalzer Dent J (Basel) Review This study aimed to evaluate the use of bioengineering tools, finite element analysis, strain gauge analysis, photoelastic analysis, and digital image correlation, in computational studies with greater validity and reproducibility. A bibliographic search was performed in the main health databases PUBMED and Scholar Google, in which different studies, among them, laboratory studies, case reports, systematic reviews, and literature reviews, which were developed in living individuals, were included. Therefore, articles that did not deal with the use of finite element analysis, strain gauge analysis, photoelastic analysis, and digital image correlation were excluded, as well as their use in computational studies with greater validity and reproducibility. According to the methodological analysis, it is observed that the average publication of articles in the Pubmed database was 2.03 and with a standard deviation of 1.89. While in Google Scholar, the average was 0.78 and the standard deviation was 0.90. Thus, it is possible to verify that there was a significant variation in the number of articles in the two databases. Modern dentistry finds in finite element analysis, strain gauge, photoelastic and digital image correlation a way to analyze the biomechanical behavior in dental materials to obtain results that assist to obtain rehabilitations with favorable prognosis and patient satisfaction. MDPI 2022-08-04 /pmc/articles/PMC9406698/ /pubmed/36005243 http://dx.doi.org/10.3390/dj10080145 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review de Matos, Jefferson David Melo Queiroz, Daher Antonio Nakano, Leonardo Jiro Nomura Andrade, Valdir Cabral Ribeiro, Nathália de Carvalho Ramos Borges, Alexandre Luiz Souto Bottino, Marco Antonio Lopes, Guilherme da Rocha Scalzer Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis |
title | Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis |
title_full | Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis |
title_fullStr | Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis |
title_full_unstemmed | Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis |
title_short | Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis |
title_sort | bioengineering tools applied to dentistry: validation methods for in vitro and in silico analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406698/ https://www.ncbi.nlm.nih.gov/pubmed/36005243 http://dx.doi.org/10.3390/dj10080145 |
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