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Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_18 | Pages 12 - 12
14 Nov 2024
Vautrin A Thierrin R Wili P Voumard B Rauber C Klingler S Chapuis V Varga P Zysset P
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Introduction

Achieving an appropriate primary stability after implantation is a prerequisite for the long-term viability of a dental implant. Virtual testing of the bone-implant construct can be performed with finite element (FE) simulation to predict primary stability prior to implantation. In order to be translated to clinical practice, such FE modeling must be based on clinically available imaging methods. The aim of this study was to validate an FE model of dental implant primary stability using cone beam computed tomography (CBCT) with ex vivo mechanical testing.

Method

Three cadaveric mandibles (male donors, 87-97 years old) were scanned by CBCT. Twenty-three bone samples were extracted from the bones and conventional dental implants (Ø4.0mm, 9.5mm length) were inserted in each. The implanted specimens were tested under quasi-static bending-compression load (cf. ISO 14801).

Sample-specific homogenized FE (hFE) models were created from the CBCT images and meshed with hexahedral elements. A non-linear constitutive model with element-wise density-based material properties was used to simulate bone and the implant was considered rigid. The experimental loading conditions were replicated in the FE model and the ultimate force was evaluated.


Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_1 | Pages 81 - 81
2 Jan 2024
Vautrin A Aw J Attenborough E Varga P
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Although 3D-printed porous dental implants may possess improved osseointegration potential, they must exhibit appropriate fatigue strength. Finite element analysis (FEA) has the potential to predict the fatigue life of implants and accelerate their development. This work aimed at developing and validating an FEA-based tool to predict the fatigue behavior of porous dental implants.

Test samples mimicking dental implants were designed as 4.5 mm-diameter cylinders with a fully porous section around bone level. Three porosity levels (50%, 60% and 70%) and two unit cell types (Schwarz Primitive (SP) and Schwarz W (SW)) were combined to generate six designs that were split between calibration (60SP, 70SP, 60SW, 70SW) and validation (50SP, 50SW) sets.

Twenty-eight samples per design were additively manufactured from titanium powder (Ti6Al4V). The samples were tested under bending compression loading (ISO 14801) monotonically (N=4/design) to determine ultimate load (Fult) (Instron 5866) and cyclically at six load levels between 50% and 10% of Fult (N=4/design/load level) (DYNA5dent). Failure force results were fitted to F/Fult = a(Nf)b (Eq1) with Nf being the number of cycles to failure, to identify parameters a and b. The endurance limit (Fe) was evaluated at Nf = 5M cycles. Finite element models were built to predict the yield load (Fyield) of each design. Combining a linear correlation between FEA-based Fyield and experimental Fult with equation Eq1 enabled FEA-based prediction of Fe.

For all designs, Fe was comprised between 10% (all four samples surviving) and 15% (at least one failure) of Fult. The FEA-based tool predicted Fe values of 11.7% and 12.0% of Fult for the validation sets of 50SP and 50SW, respectively. Thus, the developed FEA-based workflow could accurately predict endurance limit for different implant designs and therefore could be used in future to aid the development of novel porous implants.

Acknowledgements: This study was funded by EU's Horizon 2020 grant No. 953128 (I-SMarD). We gratefully acknowledge the expert advice of Prof. Philippe Zysset.