{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T15:59:11Z","timestamp":1792684751308,"version":"4.5.0"},"reference-count":32,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T00:00:00Z","timestamp":1740960000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["953128 (I\u2010SMarD)"],"award-info":[{"award-number":["953128 (I\u2010SMarD)"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clin Implant Dent Rel Res"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Predicting implant stability preoperatively remains a challenge. Computed tomography (CT) based finite element (FE) simulations virtually evaluate the mechanical performance of the bone\u2010implant 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\u2010beam CT (CBCT) images against experimental results of primary implant stability in human bone specimens.<\/jats:p><\/jats:sec><jats:sec><jats:title>Material and Methods<\/jats:title><jats:p>Twenty\u2010three dental implants were inserted into bone biopsies extracted from three cadaveric mandibles, and biomechanical testing was performed to determine the load\u2010bearing capacity in a previous study. CBCT\u2010based sample\u2010specific homogenized FE (hFE) models were used to predict ultimate force. The accuracy of the CBCT\u2010based hFE model predictions was compared to the experimental results and to previous \u03bcCT\u2010based hFE models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The ultimate load predicted by the CBCT\u2010based hFE models correlated well with the experimental one (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20090.66) and was a better estimator than the peri\u2010implant CBCT\u2010based bone density (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20090.39) or \u03bcCT\u2010based bone volume fraction (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20090.57). Although the results of the two hFE models were strongly correlated (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20090.91), the \u03bcCT\u2010based simulation better predicted the experiments (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20090.81).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>By showing that CBCT\u2010based 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.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cid.70016","type":"journal-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T21:38:39Z","timestamp":1741729119000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Prediction of Dental Implants Primary Stability With Cone Beam Computed Tomography\u2010Based Homogenized Finite Element Analysis"],"prefix":"10.1111","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8383-7492","authenticated-orcid":false,"given":"Antoine","family":"Vautrin","sequence":"first","affiliation":[{"name":"AO Research Institute Davos  Davos Switzerland"},{"name":"Graduate School for Cellular and Biomedical Sciences University of Bern  Bern 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