Literature DB >> 17078047

Development of a three-dimensional finite element model of a human mandible containing endosseous dental implants. II. Variables affecting the predictive behavior of a finite element model of a human mandible.

Jehad Al-Sukhun1, Christian Lindqvist, Miia Helenius.   

Abstract

The purpose of this study was to propose a systematic approach to validate a finite element model (FEM) of the human mandible and to investigate the effects of changing the geometry and orthotropic material properties on the FEM predictions. Thirty-eight variables affecting the material properties, boundary conditions, and the geometry of a FEM of a human mandible, including two dental implants, were systematically changed, creating a number of FEMs of the mandible. The effects of the variations were quantified as differences in the principal strain magnitudes modeled by the original FEM (gold standard), prior to the sensitivity analyses, and those generated by the changed FEMs. The material properties that had the biggest impact on the predicted cortical principal strain were the shear moduli (up to 31% in difference from the unchanged state), and the absence of cancellous bone (up to 34%). Alterations to the geometry of the mandibular cross section, such as an increase in corpus dimensions, had the greatest effect on principal strain magnitudes (up to 16%). Changes in the cortical thickness in relation to the width of the corpus section modified strain more than alterations to the corpus depth (14% and 5%, respectively). The relatively small difference (up to 13.5%) between the predicted and measured interimplant distances indicates the accuracy of the FEM. Changes in geometry and orthotropic material properties could induce significant changes in strain patterns. These values must therefore be chosen with care when using finite element techniques for predicting stresses, strains, and displacements. (c) 2006 Wiley Periodicals, Inc.

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Year:  2007        PMID: 17078047     DOI: 10.1002/jbm.a.30881

Source DB:  PubMed          Journal:  J Biomed Mater Res A        ISSN: 1549-3296            Impact factor:   4.396


  7 in total

1.  Biomedical electrosurgery devices containing nanostructure for minimally invasive surgery: reduction of thermal injury and acceleration of wound healing for liver cancer.

Authors:  Wen-Tien Hsiao; Li-Hsiang Lin; Hsi-Jen Chiang; Keng-Liang Ou; Han-Yi Cheng
Journal:  J Mater Sci Mater Med       Date:  2015-01-29       Impact factor: 3.896

2.  FEM evaluation of cemented-retained versus screw-retained dental implant single-tooth crown prosthesis.

Authors:  Marco Cicciu; Ennio Bramanti; Giada Matacena; Eugenio Guglielmino; Giacomo Risitano
Journal:  Int J Clin Exp Med       Date:  2014-04-15

3.  FEM and Von Mises analyses of different dental implant shapes for masticatory loading distribution.

Authors:  M Cicciù; E Bramanti; F Cecchetti; L Scappaticci; E Guglielmino; G Risitano
Journal:  Oral Implantol (Rome)       Date:  2014-12-27

4.  Influence of orthotropy on biomechanics of peri-implant bone in complete mandible model with full dentition.

Authors:  Xi Ding; Sheng-Hui Liao; Xing-Hao Zhu; Hui-Ming Wang
Journal:  Biomed Res Int       Date:  2014-11-03       Impact factor: 3.411

5.  Fem and Von Mises Analysis of OSSTEM ® Dental Implant Structural Components: Evaluation of Different Direction Dynamic Loads.

Authors:  Gabriele Cervino; Umberto Romeo; Floriana Lauritano; Ennio Bramanti; Luca Fiorillo; Cesare D'Amico; Dario Milone; Luigi Laino; Francesco Campolongo; Silvia Rapisarda; Marco Cicciù
Journal:  Open Dent J       Date:  2018-03-30

6.  Tooth eruption results from bone remodelling driven by bite forces sensed by soft tissue dental follicles: a finite element analysis.

Authors:  Babak Sarrafpour; Michael Swain; Qing Li; Hans Zoellner
Journal:  PLoS One       Date:  2013-03-15       Impact factor: 3.240

7.  FEM Analysis of Mandibular Prosthetic Overdenture Supported by Dental Implants: Evaluation of Different Retention Methods.

Authors:  M Cicciù; G Cervino; E Bramanti; F Lauritano; G Lo Gudice; L Scappaticci; A Rapparini; E Guglielmino; G Risitano
Journal:  Comput Math Methods Med       Date:  2015-12-21       Impact factor: 2.238

  7 in total

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