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Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models

Background: The present study aimed to classify the relative contributions of four biomechanical factors—the root-end filling material, the apical preparation, the root resection length, and the bone height—on the root stresses of the resected premolar. Methods: A design of experiments approach base...

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Autores principales: Richert, Raphael, Farges, Jean-Christophe, Maurin, Jean-Christophe, Molimard, Jérôme, Boisse, Philippe, Ducret, Maxime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224708/
https://www.ncbi.nlm.nih.gov/pubmed/35743798
http://dx.doi.org/10.3390/jpm12061012
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author Richert, Raphael
Farges, Jean-Christophe
Maurin, Jean-Christophe
Molimard, Jérôme
Boisse, Philippe
Ducret, Maxime
author_facet Richert, Raphael
Farges, Jean-Christophe
Maurin, Jean-Christophe
Molimard, Jérôme
Boisse, Philippe
Ducret, Maxime
author_sort Richert, Raphael
collection PubMed
description Background: The present study aimed to classify the relative contributions of four biomechanical factors—the root-end filling material, the apical preparation, the root resection length, and the bone height—on the root stresses of the resected premolar. Methods: A design of experiments approach based on a defined subset of factor combinations was conducted to calculate the influence of each factor and their interactions. Sixteen finite element models were created and analyzed using the von Mises stress criterion. The robustness of the design of experiments was evaluated with nine supplementary models. Results: The current study showed that the factors preparation and bone height had a high influence on root stresses. However, it also revealed that nearly half of the biomechanical impact was missed without considering interactions between factors, particularly between resection and preparation. Conclusions: Design of experiments appears to be a valuable strategy to classify the contributions of biomechanical factors related to endodontics. Imagining all possible interactions and their clinical impact is difficult and can require relying on one’s own experience. This study proposed a statistical method to quantify the mechanical risk when planning apicoectomy. A perspective could be to integrate the equation defined herein in future software to support decision-making.
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spelling pubmed-92247082022-06-24 Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models Richert, Raphael Farges, Jean-Christophe Maurin, Jean-Christophe Molimard, Jérôme Boisse, Philippe Ducret, Maxime J Pers Med Article Background: The present study aimed to classify the relative contributions of four biomechanical factors—the root-end filling material, the apical preparation, the root resection length, and the bone height—on the root stresses of the resected premolar. Methods: A design of experiments approach based on a defined subset of factor combinations was conducted to calculate the influence of each factor and their interactions. Sixteen finite element models were created and analyzed using the von Mises stress criterion. The robustness of the design of experiments was evaluated with nine supplementary models. Results: The current study showed that the factors preparation and bone height had a high influence on root stresses. However, it also revealed that nearly half of the biomechanical impact was missed without considering interactions between factors, particularly between resection and preparation. Conclusions: Design of experiments appears to be a valuable strategy to classify the contributions of biomechanical factors related to endodontics. Imagining all possible interactions and their clinical impact is difficult and can require relying on one’s own experience. This study proposed a statistical method to quantify the mechanical risk when planning apicoectomy. A perspective could be to integrate the equation defined herein in future software to support decision-making. MDPI 2022-06-20 /pmc/articles/PMC9224708/ /pubmed/35743798 http://dx.doi.org/10.3390/jpm12061012 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Richert, Raphael
Farges, Jean-Christophe
Maurin, Jean-Christophe
Molimard, Jérôme
Boisse, Philippe
Ducret, Maxime
Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models
title Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models
title_full Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models
title_fullStr Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models
title_full_unstemmed Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models
title_short Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models
title_sort multifactorial analysis of endodontic microsurgery using finite element models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224708/
https://www.ncbi.nlm.nih.gov/pubmed/35743798
http://dx.doi.org/10.3390/jpm12061012
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