Cargando…

A methodology for evaluating tooth wear monitoring using timed automata modelling

OBJECTIVES: Tooth wear is a multifactorial condition leading to the loss of dental hard tissues. A counselling/monitoring protocol is of importance in order to keep that loss as limited as possible. Since many factors are involved and a time span of decades is included, research to disentangle all t...

Descripción completa

Detalles Bibliográficos
Autores principales: Wetselaar, Peter, Lobbezoo, Frank, de Jong, Pepijn, Choudry, Umarah, van Rooijen, Jasper, Langerak, Rom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027495/
https://www.ncbi.nlm.nih.gov/pubmed/31721264
http://dx.doi.org/10.1111/joor.12908
_version_ 1783498873183928320
author Wetselaar, Peter
Lobbezoo, Frank
de Jong, Pepijn
Choudry, Umarah
van Rooijen, Jasper
Langerak, Rom
author_facet Wetselaar, Peter
Lobbezoo, Frank
de Jong, Pepijn
Choudry, Umarah
van Rooijen, Jasper
Langerak, Rom
author_sort Wetselaar, Peter
collection PubMed
description OBJECTIVES: Tooth wear is a multifactorial condition leading to the loss of dental hard tissues. A counselling/monitoring protocol is of importance in order to keep that loss as limited as possible. Since many factors are involved and a time span of decades is included, research to disentangle all these processes in patients is difficult. Instead, a modelling technique was used that is able to deal with time, costs and probabilistic and stochastic information. The aim was to shed light on the question: does a yearly or a once‐in‐five‐years counselling/monitoring protocol yield better outcome measures? METHODS: A so‐called timed automata model was adopted, analysed with the tool UPPAAL. To our knowledge, this is the first time that formal modelling is applied in dentistry. In this article, a UPPAAL model for the evaluation of tooth wear is described. RESULTS: Using the UPPAAL model, it was calculated that with a yearly counselling/monitoring protocol the severity of tooth wear at age 74, the total costs per person and the number of restorative treatments were less, and the number of so‐called “good years” was higher. CONCLUSIONS: With the use of the UPPAAL model, it may be concluded that a yearly counselling/monitoring protocol can yield better outcome measures. CLINICAL SIGNIFICANCE: Regarding dentistry in general and tooth wear in particular, with the use of a timed automata model in UPPAAL, actual research questions can be answered, factors of influence in a multifactorial condition like tooth wear can be clarified, and future research topics can be determined.
format Online
Article
Text
id pubmed-7027495
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-70274952020-02-24 A methodology for evaluating tooth wear monitoring using timed automata modelling Wetselaar, Peter Lobbezoo, Frank de Jong, Pepijn Choudry, Umarah van Rooijen, Jasper Langerak, Rom J Oral Rehabil Original Articles OBJECTIVES: Tooth wear is a multifactorial condition leading to the loss of dental hard tissues. A counselling/monitoring protocol is of importance in order to keep that loss as limited as possible. Since many factors are involved and a time span of decades is included, research to disentangle all these processes in patients is difficult. Instead, a modelling technique was used that is able to deal with time, costs and probabilistic and stochastic information. The aim was to shed light on the question: does a yearly or a once‐in‐five‐years counselling/monitoring protocol yield better outcome measures? METHODS: A so‐called timed automata model was adopted, analysed with the tool UPPAAL. To our knowledge, this is the first time that formal modelling is applied in dentistry. In this article, a UPPAAL model for the evaluation of tooth wear is described. RESULTS: Using the UPPAAL model, it was calculated that with a yearly counselling/monitoring protocol the severity of tooth wear at age 74, the total costs per person and the number of restorative treatments were less, and the number of so‐called “good years” was higher. CONCLUSIONS: With the use of the UPPAAL model, it may be concluded that a yearly counselling/monitoring protocol can yield better outcome measures. CLINICAL SIGNIFICANCE: Regarding dentistry in general and tooth wear in particular, with the use of a timed automata model in UPPAAL, actual research questions can be answered, factors of influence in a multifactorial condition like tooth wear can be clarified, and future research topics can be determined. John Wiley and Sons Inc. 2019-12-05 2020-03 /pmc/articles/PMC7027495/ /pubmed/31721264 http://dx.doi.org/10.1111/joor.12908 Text en © 2019 The Authors. Journal of Oral Rehabilitation Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Wetselaar, Peter
Lobbezoo, Frank
de Jong, Pepijn
Choudry, Umarah
van Rooijen, Jasper
Langerak, Rom
A methodology for evaluating tooth wear monitoring using timed automata modelling
title A methodology for evaluating tooth wear monitoring using timed automata modelling
title_full A methodology for evaluating tooth wear monitoring using timed automata modelling
title_fullStr A methodology for evaluating tooth wear monitoring using timed automata modelling
title_full_unstemmed A methodology for evaluating tooth wear monitoring using timed automata modelling
title_short A methodology for evaluating tooth wear monitoring using timed automata modelling
title_sort methodology for evaluating tooth wear monitoring using timed automata modelling
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027495/
https://www.ncbi.nlm.nih.gov/pubmed/31721264
http://dx.doi.org/10.1111/joor.12908
work_keys_str_mv AT wetselaarpeter amethodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT lobbezoofrank amethodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT dejongpepijn amethodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT choudryumarah amethodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT vanrooijenjasper amethodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT langerakrom amethodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT wetselaarpeter methodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT lobbezoofrank methodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT dejongpepijn methodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT choudryumarah methodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT vanrooijenjasper methodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling
AT langerakrom methodologyforevaluatingtoothwearmonitoringusingtimedautomatamodelling