Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models
Identifieur interne : 004E28 ( Istex/Curation ); précédent : 004E27; suivant : 004E29Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models
Auteurs : S. Suebnukarn ; R. Hataidechadusadee ; N. Suwannasri ; N. Suprasert ; P. Rhienmora [Thaïlande] ; P. HaddawySource :
- International Endodontic Journal [ 0143-2885 ] ; 2011-11.
English descriptors
- KwdEn :
Abstract
Suebnukarn S, Hataidechadusadee R, Suwannasri N, Suprasert N, Rhienmora P, Haddawy P. Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models. International Endodontic Journal, 44, 983–989, 2011. Abstract: Aim To evaluate the effectiveness of haptic virtual reality (VR) simulator training using microcomputed tomography (micro‐CT) tooth models on minimizing procedural errors in endodontic access preparation. Methodology Fourth year dental students underwent a pre‐training assessment of access cavity preparation on an extracted maxillary molar tooth mounted on a phantom head. Students were then randomized to training on either the micro‐CT tooth models with a haptic VR simulator (n = 16) or extracted teeth in a phantom head (n = 16) training environments for 3 days, after which the assessment was repeated. The main outcome measure was procedural errors assessed by an expert blinded to trainee and training status. The secondary outcome measures were tooth mass loss and task completion time. The Wilcoxon test was used to examine the differences between pre‐training and post‐training error scores, on the same group. The Mann–Whitney test was used to detect any differences between haptic VR training and phantom head training groups. The independent t‐test was used to make a comparison on tooth mass removed and task completion time between the haptic VR training and phantom head training groups. Results Post‐training performance had improved compared with pre‐training performance in error scores in both groups (P < 0.05). However, error score reduction between the haptic VR simulator and the conventional training group was not significantly different (P > 0.05). The VR simulator group decreased significantly (P < 0.05) the amount of hard tissue volume lost on the post‐training exercise. Task completion time was not significantly different (P > 0.05) in both groups. Conclusions Training on the haptic VR simulator and conventional phantom head had equivalent effects on minimizing procedural errors in endodontic access cavity preparation.
Url:
DOI: 10.1111/j.1365-2591.2011.01899.x
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: Pour aller vers cette notice dans l'étape Curation :004E28
Links to Exploration step
ISTEX:60DB394450E2B1D1EA8B76136B8DA1F7A64E7555Curation
No country items
S. Suebnukarn<affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation><affiliation><mods:affiliation>International Institute for Software Technology, United Nations University, Casa Silva Mendes, Macao</mods:affiliation><wicri:noCountry code="subField">Macao</wicri:noCountry></affiliation>Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models</title><author><name sortKey="Suebnukarn, S" sort="Suebnukarn, S" uniqKey="Suebnukarn S" first="S." last="Suebnukarn">S. Suebnukarn</name><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation></author><author><name sortKey="Hataidechadusadee, R" sort="Hataidechadusadee, R" uniqKey="Hataidechadusadee R" first="R." last="Hataidechadusadee">R. Hataidechadusadee</name><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation></author><author><name sortKey="Suwannasri, N" sort="Suwannasri, N" uniqKey="Suwannasri N" first="N." last="Suwannasri">N. Suwannasri</name><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation></author><author><name sortKey="Suprasert, N" sort="Suprasert, N" uniqKey="Suprasert N" first="N." last="Suprasert">N. Suprasert</name><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation></author><author><name sortKey="Rhienmora, P" sort="Rhienmora, P" uniqKey="Rhienmora P" first="P." last="Rhienmora">P. Rhienmora</name><affiliation wicri:level="1"><mods:affiliation>Asian Institute of Technology, School of Engineering and Technology, Pathumthani, Thailand</mods:affiliation><country xml:lang="fr">Thaïlande</country><wicri:regionArea>Asian Institute of Technology, School of Engineering and Technology, Pathumthani</wicri:regionArea></affiliation></author><author><name sortKey="Haddawy, P" sort="Haddawy, P" uniqKey="Haddawy P" first="P." last="Haddawy">P. Haddawy</name><affiliation><mods:affiliation>International Institute for Software Technology, United Nations University, Casa Silva Mendes, Macao</mods:affiliation><wicri:noCountry code="subField">Macao</wicri:noCountry></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:60DB394450E2B1D1EA8B76136B8DA1F7A64E7555</idno><date when="2011" year="2011">2011</date><idno type="doi">10.1111/j.1365-2591.2011.01899.x</idno><idno type="url">https://api.istex.fr/document/60DB394450E2B1D1EA8B76136B8DA1F7A64E7555/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">004E28</idno><idno type="wicri:Area/Istex/Curation">004E28</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models</title><author><name sortKey="Suebnukarn, S" sort="Suebnukarn, S" uniqKey="Suebnukarn S" first="S." last="Suebnukarn">S. Suebnukarn</name><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation></author><author><name sortKey="Hataidechadusadee, R" sort="Hataidechadusadee, R" uniqKey="Hataidechadusadee R" first="R." last="Hataidechadusadee">R. Hataidechadusadee</name><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation></author><author><name sortKey="Suwannasri, N" sort="Suwannasri, N" uniqKey="Suwannasri N" first="N." last="Suwannasri">N. Suwannasri</name><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation></author><author><name sortKey="Suprasert, N" sort="Suprasert, N" uniqKey="Suprasert N" first="N." last="Suprasert">N. Suprasert</name><affiliation><mods:affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</mods:affiliation><wicri:noCountry code="subField">Pathumthani</wicri:noCountry></affiliation></author><author><name sortKey="Rhienmora, P" sort="Rhienmora, P" uniqKey="Rhienmora P" first="P." last="Rhienmora">P. Rhienmora</name><affiliation wicri:level="1"><mods:affiliation>Asian Institute of Technology, School of Engineering and Technology, Pathumthani, Thailand</mods:affiliation><country xml:lang="fr">Thaïlande</country><wicri:regionArea>Asian Institute of Technology, School of Engineering and Technology, Pathumthani</wicri:regionArea></affiliation></author><author><name sortKey="Haddawy, P" sort="Haddawy, P" uniqKey="Haddawy P" first="P." last="Haddawy">P. Haddawy</name><affiliation><mods:affiliation>International Institute for Software Technology, United Nations University, Casa Silva Mendes, Macao</mods:affiliation><wicri:noCountry code="subField">Macao</wicri:noCountry></affiliation></author></analytic><monogr></monogr><series><title level="j">International Endodontic Journal</title><idno type="ISSN">0143-2885</idno><idno type="eISSN">1365-2591</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2011-11">2011-11</date><biblScope unit="volume">44</biblScope><biblScope unit="issue">11</biblScope><biblScope unit="page" from="983">983</biblScope><biblScope unit="page" to="989">989</biblScope></imprint><idno type="ISSN">0143-2885</idno></series><idno type="istex">60DB394450E2B1D1EA8B76136B8DA1F7A64E7555</idno><idno type="DOI">10.1111/j.1365-2591.2011.01899.x</idno><idno type="ArticleID">IEJ1899</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0143-2885</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>access preparation</term><term>endodontics</term><term>haptic</term><term>microcomputed tomography</term><term>procedural error</term><term>virtual reality</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Suebnukarn S, Hataidechadusadee R, Suwannasri N, Suprasert N, Rhienmora P, Haddawy P. Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models. International Endodontic Journal, 44, 983–989, 2011. Abstract: Aim To evaluate the effectiveness of haptic virtual reality (VR) simulator training using microcomputed tomography (micro‐CT) tooth models on minimizing procedural errors in endodontic access preparation. Methodology Fourth year dental students underwent a pre‐training assessment of access cavity preparation on an extracted maxillary molar tooth mounted on a phantom head. Students were then randomized to training on either the micro‐CT tooth models with a haptic VR simulator (n = 16) or extracted teeth in a phantom head (n = 16) training environments for 3 days, after which the assessment was repeated. The main outcome measure was procedural errors assessed by an expert blinded to trainee and training status. The secondary outcome measures were tooth mass loss and task completion time. The Wilcoxon test was used to examine the differences between pre‐training and post‐training error scores, on the same group. The Mann–Whitney test was used to detect any differences between haptic VR training and phantom head training groups. The independent t‐test was used to make a comparison on tooth mass removed and task completion time between the haptic VR training and phantom head training groups. Results Post‐training performance had improved compared with pre‐training performance in error scores in both groups (P < 0.05). However, error score reduction between the haptic VR simulator and the conventional training group was not significantly different (P > 0.05). The VR simulator group decreased significantly (P < 0.05) the amount of hard tissue volume lost on the post‐training exercise. Task completion time was not significantly different (P > 0.05) in both groups. Conclusions Training on the haptic VR simulator and conventional phantom head had equivalent effects on minimizing procedural errors in endodontic access cavity preparation.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Istex/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 004E28 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Curation/biblio.hfd -nk 004E28 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= Istex
|étape= Curation
|type= RBID
|clé= ISTEX:60DB394450E2B1D1EA8B76136B8DA1F7A64E7555
|texte= Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models
}}
| This area was generated with Dilib version V0.6.23. |  |