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Research

BONE-IMPLANT PRIMARY STABILITY PREDICTION BY CBCT-BASED FINITE ELEMENT SIMULATIONS

The European Orthopaedic Research Society (EORS) 32nd Annual Meeting, Aalborg, Denmark, 18–20 September 2024.



Abstract

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.

Result

The experimental ultimate force ranged between 67 N and 789 N. The simulated ultimate force correlated better with the experimental ultimate force (R2=0.71) than the peri-implant bone density (R2=0.30).

Conclusion

The developed hFE model was demonstrated to provide stronger prediction of primary stability than peri-implant bone density. Therefore, hFE Simulations based on this clinically available low-radiation imaging modality, is a promising technology that could be used in future as a surgery planning tool to assist the clinician in evaluating the load-bearing capacity of an implantation site.

Acknowledgements

Funding: EU's Horizon 2020 grant No: 953128 (I-SMarD).

Dental implants: THOMMEN Medical AG


Corresponding author: Antoine Vautrin