ArticleClinical implant dentistry and related research2025
Prediction of Dental Implants Primary Stability With Cone Beam Computed Tomography-Based Homogenized Finite Element Analysis.
Article in Clinical implant dentistry and related research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Feasibility of multisource CBCT for improving the predictability of dental implant primary stability compared to conventional CBCT.Scientific reports · 2026Article
- Critical Review of Hearing Rehabilitation in Pediatric Oncology: Specific Considerations and Barriers.Current oncology (Toronto, Ont.) · 2025Review
- Biomechanics of different thread designs of dental implants assisting unilateral free end mandibular partial dentures.BMC oral health · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectivesPredicting implant stability preoperatively remains a challenge. Computed tomography (CT) based finite element (FE) simulations virtually evaluate the mechanical performance of the bone-implant construct. However, translation requires trustworthy simulations based on clinically relevant CT data. The aim of the present study was to evaluate the prediction accuracy of FE models created from cone-beam CT (CBCT) images against experimental results of primary implant stability in human bone specimens. MATERIAL AND
methodsTwenty-three dental implants were inserted into bone biopsies extracted from three cadaveric mandibles, and biomechanical testing was performed to determine the load-bearing capacity in a previous study. CBCT-based sample-specific homogenized FE (hFE) models were used to predict ultimate force. The accuracy of the CBCT-based hFE model predictions was compared to the experimental results and to previous μCT-based hFE models.
resultsThe ultimate load predicted by the CBCT-based hFE models correlated well with the experimental one (R
conclusionBy showing that CBCT-based hFE modeling can predict primary stability, this study represents an important step forward toward the clinical translatability of these numerical models as preoperative predictors of primary stability. Nevertheless, several challenges remain to be addressed, such as the lack of an accurate and quantitative way to calibrate CBCT images.
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