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3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education

Background: Most simulation models used at university dental clinics are typodonts. Usually, models show idealized eugnathic situations, which are rarely encountered in everyday practice. The aim of this study was to use 3D printing technology to manufacture individualized surgical training models f...

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Autores principales: Hanisch, Marcel, Kroeger, Elke, Dekiff, Markus, Timme, Maximilian, Kleinheinz, Johannes, Dirksen, Dieter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215302/
https://www.ncbi.nlm.nih.gov/pubmed/32331445
http://dx.doi.org/10.3390/ijerph17082901
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author Hanisch, Marcel
Kroeger, Elke
Dekiff, Markus
Timme, Maximilian
Kleinheinz, Johannes
Dirksen, Dieter
author_facet Hanisch, Marcel
Kroeger, Elke
Dekiff, Markus
Timme, Maximilian
Kleinheinz, Johannes
Dirksen, Dieter
author_sort Hanisch, Marcel
collection PubMed
description Background: Most simulation models used at university dental clinics are typodonts. Usually, models show idealized eugnathic situations, which are rarely encountered in everyday practice. The aim of this study was to use 3D printing technology to manufacture individualized surgical training models for root tip resection (apicoectomy) on the basis of real patient data and to compare their suitability for dental education against a commercial typodont model. Methods: The training model was designed using CAD/CAM (computer-aided design/computer-aided manufacturing) technology. The printer used to manufacture the models employed the PolyJet technique. Dental students, about one year before their final examinations, acted as test persons and evaluated the simulation models on a visual analogue scale (VAS) with four questions (Q1–Q4). Results: A training model for root tip resection was constructed and printed employing two different materials (hard and soft) to differentiate anatomical structures within the model. The exercise was rated by 35 participants for the typodont model and 33 students for the 3D-printed model. Wilcoxon rank sum tests were carried out to identify differences in the assessments of the two model types. The alternative hypothesis for each test was: “The rating for the typodont model is higher than that for the 3D-printed model”. As the p-values reveal, the alternative hypothesis has to be rejected in all cases. For both models, the gingiva mask was criticized. Conclusions: Individual 3D-printed surgical training models based on real patient data offer a realistic alternative to industrially manufactured typodont models. However, there is still room for improvement with respect to the gingiva mask for learning surgical incision and flap formation.
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spelling pubmed-72153022020-05-18 3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education Hanisch, Marcel Kroeger, Elke Dekiff, Markus Timme, Maximilian Kleinheinz, Johannes Dirksen, Dieter Int J Environ Res Public Health Article Background: Most simulation models used at university dental clinics are typodonts. Usually, models show idealized eugnathic situations, which are rarely encountered in everyday practice. The aim of this study was to use 3D printing technology to manufacture individualized surgical training models for root tip resection (apicoectomy) on the basis of real patient data and to compare their suitability for dental education against a commercial typodont model. Methods: The training model was designed using CAD/CAM (computer-aided design/computer-aided manufacturing) technology. The printer used to manufacture the models employed the PolyJet technique. Dental students, about one year before their final examinations, acted as test persons and evaluated the simulation models on a visual analogue scale (VAS) with four questions (Q1–Q4). Results: A training model for root tip resection was constructed and printed employing two different materials (hard and soft) to differentiate anatomical structures within the model. The exercise was rated by 35 participants for the typodont model and 33 students for the 3D-printed model. Wilcoxon rank sum tests were carried out to identify differences in the assessments of the two model types. The alternative hypothesis for each test was: “The rating for the typodont model is higher than that for the 3D-printed model”. As the p-values reveal, the alternative hypothesis has to be rejected in all cases. For both models, the gingiva mask was criticized. Conclusions: Individual 3D-printed surgical training models based on real patient data offer a realistic alternative to industrially manufactured typodont models. However, there is still room for improvement with respect to the gingiva mask for learning surgical incision and flap formation. MDPI 2020-04-22 2020-04 /pmc/articles/PMC7215302/ /pubmed/32331445 http://dx.doi.org/10.3390/ijerph17082901 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hanisch, Marcel
Kroeger, Elke
Dekiff, Markus
Timme, Maximilian
Kleinheinz, Johannes
Dirksen, Dieter
3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education
title 3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education
title_full 3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education
title_fullStr 3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education
title_full_unstemmed 3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education
title_short 3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education
title_sort 3d-printed surgical training model based on real patient situations for dental education
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215302/
https://www.ncbi.nlm.nih.gov/pubmed/32331445
http://dx.doi.org/10.3390/ijerph17082901
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