Please use this identifier to cite or link to this item: https://doi.org/10.1002/jbm.b.31631
Title: Functional apparent moduli as predictors of oral implant osseointegration dynamics
Authors: Chang, P.-C. 
Seol, Y.-J.
Kikuchi, N.
Goldstein, S.A.
Giannobile, W.V.
Keywords: Dental implant
Finite element analysis
Micro-computed tomography
Osseointegration
Issue Date: 2010
Source: Chang, P.-C.,Seol, Y.-J.,Kikuchi, N.,Goldstein, S.A.,Giannobile, W.V. (2010). Functional apparent moduli as predictors of oral implant osseointegration dynamics. Journal of Biomedical Materials Research - Part B Applied Biomaterials 94 (1) : 118-126. ScholarBank@NUS Repository. https://doi.org/10.1002/jbm.b.31631
Abstract: At present, limited functional data exists regarding the application and use of biomechanical and imaging technologies for oral implant osseointegration assessment. The objective of this investigation was to determine the functional apparent moduli (FAMs) that could predict the dynamics of oral implant osseointegration. Using an in vivo dental implant osseous healing model, two FAMs, functional bone apparent modulus (FBAM), and composite tissue apparent modulus (FCAM), of the selected peri-implant structures were calculated via microcomputed tomography (micro-CT) and finite element (FE) simulations in order to support this concept. Results showed significant sensitivity between FAMs and micro-CT parameters, especially between bone mineral density and FBAM, while at extraction defect sites the strongest correlations existed between bone-implant contact and FCAM. Significant enhancement of FCAM indicated progressive functional repair during early osseointegration. Further, the resultant interfacial resistance was predicted by bone mineral content (BMC) and FBAM within a ∼200 μm peri-implant thickness, while the extraction defects gave zones of ∼575 μm and 200 μm for BMC and FCAM, respectively. These results suggest that the function of dental implant support can be predicted from a periimplant structural zone. We conclude that FAMs can be used to predict the dynamics of dental implant osseointegration in vivo. © 2010 Wiley Periodicals, Inc.
Source Title: Journal of Biomedical Materials Research - Part B Applied Biomaterials
URI: http://scholarbank.nus.edu.sg/handle/10635/46718
ISSN: 15524973
DOI: 10.1002/jbm.b.31631
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