
Faculty, Staff and Student Publications
Publication Date
8-4-2022
Journal
Dentistry Journal
Abstract
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.
Keywords
finite element analysis, computing methodologies, computer simulation, dentistry
DOI
10.3390/dj10080145
PMID
36005243
PMCID
PMC9406698
PubMedCentral® Posted Date
8-4-2022
PubMedCentral® Full Text Version
Post-print
Recommended Citation
Matos, Jefferson David Melo de; Queiroz, Daher Antonio; Nakano, Leonardo Jiro Nomura; Andrade, Valdir Cabral; Ribeiro, Nathália de Carvalho Ramos; Borges, Alexandre Luiz Souto; Bottino, Marco Antonio; and Lopes, Guilherme da Rocha Scalzer, "Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis" (2022). Faculty, Staff and Student Publications. 68.
https://digitalcommons.library.tmc.edu/uthdb_docs/68
Published Open-Access
yes