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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9224708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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