Adding mechanobiological cell features to finite element analysis of an immediately loaded dental implant

Author:

Martinello Poliana Alexandra1ORCID,Cartagena‐Molina Andrés Felipe12ORCID,Capelletti Lucas Kravchychyn1,Fernandes Bruno Viezzer1ORCID,Franco Ana Paula Gebert de Oliveira3ORCID,Mercuri Emilio Graciliano Ferreira4ORCID,Bombarda Nara Hellen Campanha1ORCID

Affiliation:

1. Department of Dentistry State University of Ponta Grossa Ponta Grossa Paraná Brazil

2. Department of Dentistry State University of Londrina Londrina Paraná Brazil

3. Department of Electrical Engineering and Industrial Informatics Federal Technological University of Paraná Curitiba Paraná Brazil

4. Environmental Engineering Department Federal University of Paraná Curitiba Paraná Brazil

Abstract

AbstractFinite element analysis (FEA) has been used to analyze the behavior of dental materials, mainly in implantology. However, FEA is a mechanical analysis and few studies have tried to simulate the biological characteristics of the healing process of loaded implants. This study used the rule of mixtures to simulate the biological healing process of immediate implants in an alveolus socket and bone‐implant junction interface through FEA. Three‐dimensional geometric models of the structures were obtained, and material properties were derived from the literature. The rule of mixtures was used to simulate the healing periods—immediate and early loading, in which the concentration of each cell type, based on in vivo studies, influenced the final elastic moduli. A 100 N occlusal load was simulated in axial and oblique directions. The models were evaluated for maximum and minimum principal strains, and the bone overload was assessed through Frost's mechanostat. There was a higher strain concentration in the healing regions and cortical bone tissue near the cervical portion. The bone overload was higher in the immediate load condition. The method used in this study may help to simulate the biological healing process and could be useful to relate FEA results to clinical practice.

Publisher

Wiley

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