Impact of peri-implant bone resorption, prosthetic materials, and crown to implant ratio on the stress distribution of short implants: a finite element analysis

Autor: Demet Cagil Ayvalioglu, Pinar Ercal, Soner Şişmanoğlu, Aysegul Erten Taysi, Meltem Mert Eren
Přispěvatelé: Erçal, Pınar, Taysı, Ayşegül Erten
Rok vydání: 2020
Předmět:
Zdroj: Medicalbiological engineeringcomputing. 59(4)
ISSN: 1741-0444
Popis: WOS:000629497300002 PubMed: 33728596 The purpose of this study was to determine the effects of prosthetic materials and crown/implant (C/I) ratio on short implants with a marginal bone resorption. Three-dimensional finite element analysis was used to simulate stress distribution under static loading in non-resorption and resorption scenarios (3-mm vertical bone loss) in implants restored with single crowns and C/I ratios of 1:1, 1.5:1, and 2:1 were evaluated. Different crown materials were used: porcelain-fused to metal, porcelain-fused to zirconia, monolithic zirconia, and zirconia-based crown veneered with indirect composite resin. The C/I ratio, the peri-implant bone resorption, and the loading conditions were the key factors affecting the generated stress in short implants. In non-resorption models, von Mises stress ranged between 50 and 105 MPa whereas in resorption models, the values ranged from 168 to 322 MPa, both increasing with the higher C/I ratio under oblique forces. Under axial loading, the C/I ratio did not influence the stress values as the presence of resorption was the only parameter increasing, 57 MPa for the non-resorption models and 101 MPa for the resorption models, respectively. Preference of a prosthetic material was ineffective on the distribution of stress in the bone and implant structure under static loading in any models. The peri-implant bone resorption and a higher C/I ratio in short implants increase the stress values under both axial and oblique forces, whereas the crown material does not influence stress distribution in the surrounding bone and implant structure. AltinbasUniversity Scientific Research Funding [PB2017/2] This project was supported by the AltinbasUniversity Scientific Research Funding (Grant Number: PB2017/2).
Databáze: OpenAIRE