2005
DOI: 10.4012/dmj.24.219
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Influence of Cortical Bone Quality on Stress Distribution in Bone around Dental Implant

Abstract: Using finite element method (FEM) , this study sought to investigate how the thickness and Young's modulus of cortical bone influenced stress distribution in bone surrounding a dental implant. The finite element implant-bone model consisted of a titanium abutment, a titanium fixture, a gold alloy retaining screw, cancellous bone, and cortical bone. The results showed that von Mises equivalent stress was at its maximum in the cortical bone surrounding dental implant. Upon investigation, it was found that maximu… Show more

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Cited by 69 publications
(58 citation statements)
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“…[1,23] Thicker cortical bone (D2) reduces stress concentration around the implants. [33,34] The results of the present study are consistent with the studies above in terms of stress values being greater with trabecular bone (D4) than with cortical bone (D2).…”
Section: Final Remarkssupporting
confidence: 82%
“…[1,23] Thicker cortical bone (D2) reduces stress concentration around the implants. [33,34] The results of the present study are consistent with the studies above in terms of stress values being greater with trabecular bone (D4) than with cortical bone (D2).…”
Section: Final Remarkssupporting
confidence: 82%
“…In agreement with a number of studies, [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52] the von Mises stress field (σ VM ) was used as an indicator of the average stress level at the periimplant region, providing a global measure of load transfer mechanisms. Moreover, in agreement with the maximum normal stress criterion, 60 principal stresses were used at the bone-implant interface to define local risk indicators of physiological bone failure and of the activation of bone resorption.…”
mentioning
confidence: 78%
“…It is worth noting that, in a number of recent numerical studies, the influence of crestal bone loss in functioning implants and of detailed geometrical modelling for the site of placement have been disregarded. 20,39,[41][42][43][44][45][46][47][48] Based on the findings presented here, ossointegrated implants should be chosen and/or designed considering 2 factors: first, that overloading risk at periimplant regions is primarily dependent on implant size (diameter and length) and the site of placement, and secondly, that the biomechanical stress-based performance of implants improves when crestal bone loss is effectively counteracted.…”
mentioning
confidence: 99%
“…Perennially, implant success is of utmost concern and importance to all patients at all times. Against this backdrop, strength analyses and fatigue tests have been performed to predict and determine the clinical performance of dental implants [3][4][5][6][7] . In particular, for restoration with ITI implants (Φ: 3.3 mm, L: 12 mm, pure titanium: grade 4), Merz et al of the Institute Straumann performed fatigue tests to analyze the fatigue resistance of implantabutment connectors 8) .…”
Section: Introductionmentioning
confidence: 99%