Literature DB >> 15642031

A novel computational method for real-time preoperative assessment of primary dental implant stability.

Sigbjørn Olsen1, Stephen J Ferguson, Christian Sigrist, Wolf-Rüdiger Fritz, Lutz P Nolte, Wock Hallermann, Marco Caversaccio.   

Abstract

A novel methodology which allows for fast and fully automatic structural analysis during preoperative planning for dental implant surgery is presented. This method integrates a fully automatic fast finite element solver within the framework of new concepts in computer-assisted preoperative planning for implant surgery. The planning system including optimized structural planning was validated by experimental results. Nine implants were placed in pig mandibles and mechanically loaded using a testing rig. The resulting displacements were measured and compared with those predicted by numerical analysis during planning. The results show that there were no statistically significant differences (P = 0.65) between the results of the models and the experiments. The results show that fast structural analysis can be integrated with surgical planning software allowing the initial axial implant stability to be predicted in real time during planning. It is believed that such a system could be used to select patients for immediate implant loading and, when further developed, be useful in other areas of preoperative surgical planning.

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Year:  2005        PMID: 15642031     DOI: 10.1111/j.1600-0501.2004.01071.x

Source DB:  PubMed          Journal:  Clin Oral Implants Res        ISSN: 0905-7161            Impact factor:   5.977


  3 in total

Review 1.  [12 years of Computer-Aided Surgery around the Head : Developments in surgical planning and simulation from a Bern perspective].

Authors:  W Wimmer; N Gerber; S Weber; L-P Nolte; M Caversaccio
Journal:  HNO       Date:  2016-09       Impact factor: 1.284

2.  Treatment of patients with tiolox-dentaurum dental implants at the polyclinic shoshi.

Authors:  Avdyl Shoshi; Adem Alushi; Ramazan Isufi
Journal:  Med Arch       Date:  2014-07-31

Review 3.  Finite element analysis of dental implants with validation: to what extent can we expect the model to predict biological phenomena? A literature review and proposal for classification of a validation process.

Authors:  Yuanhan Chang; Abhijit Anil Tambe; Yoshinobu Maeda; Masahiro Wada; Tomoya Gonda
Journal:  Int J Implant Dent       Date:  2018-03-08
  3 in total

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