Cargando…
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
A literature review of finite element analysis (FEA) studies of dental implants with their model validation process was performed to establish the criteria for evaluating validation methods with respect to their similarity to biological behavior. An electronic literature search of PubMed was conduct...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842167/ https://www.ncbi.nlm.nih.gov/pubmed/29516219 http://dx.doi.org/10.1186/s40729-018-0119-5 |
_version_ | 1783304855058644992 |
---|---|
author | Chang, Yuanhan Tambe, Abhijit Anil Maeda, Yoshinobu Wada, Masahiro Gonda, Tomoya |
author_facet | Chang, Yuanhan Tambe, Abhijit Anil Maeda, Yoshinobu Wada, Masahiro Gonda, Tomoya |
author_sort | Chang, Yuanhan |
collection | PubMed |
description | A literature review of finite element analysis (FEA) studies of dental implants with their model validation process was performed to establish the criteria for evaluating validation methods with respect to their similarity to biological behavior. An electronic literature search of PubMed was conducted up to January 2017 using the Medical Subject Headings “dental implants” and “finite element analysis.” After accessing the full texts, the context of each article was searched using the words “valid” and “validation” and articles in which these words appeared were read to determine whether they met the inclusion criteria for the review. Of 601 articles published from 1997 to 2016, 48 that met the eligibility criteria were selected. The articles were categorized according to their validation method as follows: in vivo experiments in humans (n = 1) and other animals (n = 3), model experiments (n = 32), others’ clinical data and past literature (n = 9), and other software (n = 2). Validation techniques with a high level of sufficiency and efficiency are still rare in FEA studies of dental implants. High-level validation, especially using in vivo experiments tied to an accurate finite element method, needs to become an established part of FEA studies. The recognition of a validation process should be considered when judging the practicality of an FEA study. |
format | Online Article Text |
id | pubmed-5842167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-58421672018-03-19 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 Chang, Yuanhan Tambe, Abhijit Anil Maeda, Yoshinobu Wada, Masahiro Gonda, Tomoya Int J Implant Dent Review A literature review of finite element analysis (FEA) studies of dental implants with their model validation process was performed to establish the criteria for evaluating validation methods with respect to their similarity to biological behavior. An electronic literature search of PubMed was conducted up to January 2017 using the Medical Subject Headings “dental implants” and “finite element analysis.” After accessing the full texts, the context of each article was searched using the words “valid” and “validation” and articles in which these words appeared were read to determine whether they met the inclusion criteria for the review. Of 601 articles published from 1997 to 2016, 48 that met the eligibility criteria were selected. The articles were categorized according to their validation method as follows: in vivo experiments in humans (n = 1) and other animals (n = 3), model experiments (n = 32), others’ clinical data and past literature (n = 9), and other software (n = 2). Validation techniques with a high level of sufficiency and efficiency are still rare in FEA studies of dental implants. High-level validation, especially using in vivo experiments tied to an accurate finite element method, needs to become an established part of FEA studies. The recognition of a validation process should be considered when judging the practicality of an FEA study. Springer Berlin Heidelberg 2018-03-08 /pmc/articles/PMC5842167/ /pubmed/29516219 http://dx.doi.org/10.1186/s40729-018-0119-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review Chang, Yuanhan Tambe, Abhijit Anil Maeda, Yoshinobu Wada, Masahiro Gonda, Tomoya 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842167/ https://www.ncbi.nlm.nih.gov/pubmed/29516219 http://dx.doi.org/10.1186/s40729-018-0119-5 |
work_keys_str_mv | AT changyuanhan finiteelementanalysisofdentalimplantswithvalidationtowhatextentcanweexpectthemodeltopredictbiologicalphenomenaaliteraturereviewandproposalforclassificationofavalidationprocess AT tambeabhijitanil finiteelementanalysisofdentalimplantswithvalidationtowhatextentcanweexpectthemodeltopredictbiologicalphenomenaaliteraturereviewandproposalforclassificationofavalidationprocess AT maedayoshinobu finiteelementanalysisofdentalimplantswithvalidationtowhatextentcanweexpectthemodeltopredictbiologicalphenomenaaliteraturereviewandproposalforclassificationofavalidationprocess AT wadamasahiro finiteelementanalysisofdentalimplantswithvalidationtowhatextentcanweexpectthemodeltopredictbiologicalphenomenaaliteraturereviewandproposalforclassificationofavalidationprocess AT gondatomoya finiteelementanalysisofdentalimplantswithvalidationtowhatextentcanweexpectthemodeltopredictbiologicalphenomenaaliteraturereviewandproposalforclassificationofavalidationprocess |