Enhanced implant longevity: Finite element optimization of all-on-four implant designs to minimize jawbone stresses
The all-on-four treatment concept is widely used to rehabilitate edentulous dental arches; however, its biomechanical effect on supporting jawbones requires careful evaluation. This study aims to optimize the all-on-four implant design to minimize cortical bone stress using finite-element analysis (FEA). A three-dimensional FEA model was developed based on the mean average dimensions of Japanese edentulous mandibles (Takahashi et al. 2010). Implants (length = 12-16 mm and diameter = 3-5 mm) were placed between the two mental foramina with two parallel anterior implants positioned at distances ranging from 9.6-15 degree from the mandibular midline. Posterior implants are angled from 1-45° with lengths varying between 12-18 mm. A rigid superstructure splints all implants and an occlusal load of 50 N was applied at distal ends. The maximum Von Mises stress on the cortical bone was measured. The adaptive optimization approach identified eight optimal design configurations. These designs results in a peak Von Mises stress of 2.26 MPa which demonstrate 32% reduction compared with previous findings by Takahashi et al. (2010). The optimized all-on-four configuration significantly reduces cortical bone stress while accommodating anatomical variability. This approach offers clinical insights into improving implant longevity and outcomes in edentulous patients.
Authors
- Ghadeer Basunbul (ORCID: https://orcid.org/0000-0002-1435-2926)
- Ammar Abdulghani Melaibari (ORCID: https://orcid.org/0000-0002-0967-6774)
- Mohamed F. Ismail (ORCID: https://orcid.org/0000-0003-2107-2794)
- Ahmed Khaled
- Talei Al-Matrafi
Institutions
- Taif University (SA)
- King Abdulaziz University (SA)
Publication Details
- Journal
- The Saudi Dental Journal
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1007/s44445-025-00099-8
- Primary Topic
- Dental Implant Techniques and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Abdulaziz University