Bioengineering Tools Applied to Dentistry: Validation Methods for In Vitro and In Silico Analysis.
Jefferson David Melo de Matos1,2, Daher Antonio Queiroz3, Leonardo Jiro Nomura Nakano2
1Center for Dental Biomaterials, Department of Restorative Dental Sciences, University of Florida (UF Health), Gainesville, FL 32610, USA.
Dentistry Journal
|August 25, 2022
Summary
Bioengineering tools like finite element analysis enhance dental computational studies for better validity. These methods aid in analyzing biomechanical behavior for improved dental restorations and patient satisfaction.
Area of Science:
- Biomedical Engineering
- Dental Biomechanics
- Computational Science
Background:
- Bioengineering tools are increasingly vital in modern dentistry.
- Finite element analysis (FEA), strain gauge analysis, photoelastic analysis, and digital image correlation (DIC) offer advanced computational capabilities.
- Ensuring validity and reproducibility in these computational studies is crucial for clinical application.
Purpose of the Study:
- To evaluate the application of specific bioengineering tools in computational dental studies.
- To assess the validity and reproducibility of using FEA, strain gauge, photoelastic, and DIC methods.
- To highlight the role of these tools in improving dental treatment outcomes.
Main Methods:
- Bibliographic search conducted in PubMed and Google Scholar databases.
- Inclusion of laboratory studies, case reports, systematic reviews, and literature reviews involving living individuals.
- Exclusion of studies not utilizing FEA, strain gauge, photoelastic, or DIC in computational contexts.
Main Results:
- Significant variation observed in article publication counts between PubMed (average 2.03, SD 1.89) and Google Scholar (average 0.78, SD 0.90).
- Demonstrated the utility of FEA, strain gauge, photoelastic, and DIC in analyzing biomechanical behavior of dental materials.
- Highlighted the contribution of these methods to achieving favorable prognoses and patient satisfaction in dental rehabilitations.
Conclusions:
- Bioengineering tools significantly enhance the validity and reproducibility of computational dental studies.
- FEA, strain gauge, photoelastic, and DIC are essential for understanding biomechanical behavior in dental materials.
- These advanced analytical methods are pivotal for successful dental rehabilitations and improved patient outcomes.
