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

Identifieur interne : 001581 ( Ncbi/Curation ); précédent : 001580; suivant : 001582

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

Auteurs : Sigbj Rn Olsen [Suisse] ; Stephen J. Ferguson ; Christian Sigrist ; Wolf-Rüdiger Fritz ; Lutz P. Nolte ; Wock Hallermann ; Marco Caversaccio

Source :

RBID : pubmed:15642031

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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.

DOI: 10.1111/j.1600-0501.2004.01071.x
PubMed: 15642031

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Le document en format XML

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<term>Compressive Strength</term>
<term>Computer Simulation</term>
<term>Computer Systems</term>
<term>Dental Implantation, Endosseous (methods)</term>
<term>Dental Implants</term>
<term>Dental Prosthesis Retention</term>
<term>Dental Stress Analysis (methods)</term>
<term>Elasticity</term>
<term>Finite Element Analysis</term>
<term>Jaw, Edentulous (diagnostic imaging)</term>
<term>Software Validation</term>
<term>Surgery, Computer-Assisted (methods)</term>
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<term>Tomography, X-Ray Computed</term>
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<term>Analyse des éléments finis</term>
<term>Analyse du stress dentaire ()</term>
<term>Animaux</term>
<term>Chirurgie assistée par ordinateur ()</term>
<term>Implants dentaires</term>
<term>Mâchoire édentée (imagerie diagnostique)</term>
<term>Pose d'implant dentaire endo-osseux ()</term>
<term>Résistance à la compression</term>
<term>Rétention de prothèse dentaire</term>
<term>Simulation numérique</term>
<term>Suidae</term>
<term>Systèmes informatiques</term>
<term>Tomodensitométrie</term>
<term>Validation de logiciel</term>
<term>Élasticité</term>
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<term>Dental Implants</term>
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<term>Mâchoire édentée</term>
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<term>Dental Implantation, Endosseous</term>
<term>Dental Stress Analysis</term>
<term>Surgery, Computer-Assisted</term>
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<term>Compressive Strength</term>
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<term>Dental Prosthesis Retention</term>
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<term>Analyse des éléments finis</term>
<term>Analyse du stress dentaire</term>
<term>Animaux</term>
<term>Chirurgie assistée par ordinateur</term>
<term>Implants dentaires</term>
<term>Pose d'implant dentaire endo-osseux</term>
<term>Résistance à la compression</term>
<term>Rétention de prothèse dentaire</term>
<term>Simulation numérique</term>
<term>Suidae</term>
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<div type="abstract" xml:lang="en">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.</div>
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