Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models
Identifieur interne : 003237 ( Main/Exploration ); précédent : 003236; suivant : 003238Access 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 :
- Computer Simulation, Computer-Assisted Instruction (instrumentation), Computer-Assisted Instruction (methods), Dental Models, Education, Dental (methods), Endodontics (education), Humans, Maxilla, Molar, Program Evaluation, Prospective Studies, Root Canal Preparation (methods), Single-Blind Method, Statistics, Nonparametric, Students, Dental, User-Computer Interface, Vibration, X-Ray Microtomography, access preparation, endodontics, haptic, microcomputed tomography, procedural error, virtual reality.
- MESH :
- education : Endodontics.
- instrumentation : Computer-Assisted Instruction.
- methods : Computer-Assisted Instruction, Education, Dental, Root Canal Preparation.
- Computer Simulation, Dental Models, Humans, Maxilla, Molar, Program Evaluation, Prospective Studies, Single-Blind Method, Statistics, Nonparametric, Students, Dental, User-Computer Interface, Vibration, X-Ray Microtomography.
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
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 004E28
- to stream Istex, to step Curation: 004E28
- to stream Istex, to step Checkpoint: 000611
- to stream PubMed, to step Corpus: 000E56
- to stream PubMed, to step Curation: 000E56
- to stream PubMed, to step Checkpoint: 000E24
- to stream Ncbi, to step Merge: 001A68
- to stream Ncbi, to step Curation: 001A68
- to stream Ncbi, to step Checkpoint: 001A68
- to stream Main, to step Merge: 003278
- to stream Main, to step Curation: 003237
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>
</author>
<author><name sortKey="Hataidechadusadee, R" sort="Hataidechadusadee, R" uniqKey="Hataidechadusadee R" first="R." last="Hataidechadusadee">R. Hataidechadusadee</name>
</author>
<author><name sortKey="Suwannasri, N" sort="Suwannasri, N" uniqKey="Suwannasri N" first="N." last="Suwannasri">N. Suwannasri</name>
</author>
<author><name sortKey="Suprasert, N" sort="Suprasert, N" uniqKey="Suprasert N" first="N." last="Suprasert">N. Suprasert</name>
</author>
<author><name sortKey="Rhienmora, P" sort="Rhienmora, P" uniqKey="Rhienmora P" first="P." last="Rhienmora">P. Rhienmora</name>
</author>
<author><name sortKey="Haddawy, P" sort="Haddawy, P" uniqKey="Haddawy P" first="P." last="Haddawy">P. Haddawy</name>
</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>
<idno type="wicri:Area/Istex/Checkpoint">000611</idno>
<idno type="wicri:doubleKey">0143-2885:2011:Suebnukarn S:access:cavity:preparation</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:21623838</idno>
<idno type="wicri:Area/PubMed/Corpus">000E56</idno>
<idno type="wicri:Area/PubMed/Curation">000E56</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000E24</idno>
<idno type="wicri:Area/Ncbi/Merge">001A68</idno>
<idno type="wicri:Area/Ncbi/Curation">001A68</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">001A68</idno>
<idno type="wicri:Area/Main/Merge">003278</idno>
<idno type="wicri:Area/Main/Curation">003237</idno>
<idno type="wicri:Area/Main/Exploration">003237</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><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><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><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><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"><country xml:lang="fr">Thaïlande</country>
<wicri:regionArea>Asian Institute of Technology, School of Engineering and Technology, Pathumthani</wicri:regionArea>
<wicri:noRegion>Pathumthani</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Haddawy, P" sort="Haddawy, P" uniqKey="Haddawy P" first="P." last="Haddawy">P. Haddawy</name>
<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>Computer Simulation</term>
<term>Computer-Assisted Instruction (instrumentation)</term>
<term>Computer-Assisted Instruction (methods)</term>
<term>Dental Models</term>
<term>Education, Dental (methods)</term>
<term>Endodontics (education)</term>
<term>Humans</term>
<term>Maxilla</term>
<term>Molar</term>
<term>Program Evaluation</term>
<term>Prospective Studies</term>
<term>Root Canal Preparation (methods)</term>
<term>Single-Blind Method</term>
<term>Statistics, Nonparametric</term>
<term>Students, Dental</term>
<term>User-Computer Interface</term>
<term>Vibration</term>
<term>X-Ray Microtomography</term>
<term>access preparation</term>
<term>endodontics</term>
<term>haptic</term>
<term>microcomputed tomography</term>
<term>procedural error</term>
<term>virtual reality</term>
</keywords>
<keywords scheme="MESH" qualifier="education" xml:lang="en"><term>Endodontics</term>
</keywords>
<keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Computer-Assisted Instruction</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computer-Assisted Instruction</term>
<term>Education, Dental</term>
<term>Root Canal Preparation</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Computer Simulation</term>
<term>Dental Models</term>
<term>Humans</term>
<term>Maxilla</term>
<term>Molar</term>
<term>Program Evaluation</term>
<term>Prospective Studies</term>
<term>Single-Blind Method</term>
<term>Statistics, Nonparametric</term>
<term>Students, Dental</term>
<term>User-Computer Interface</term>
<term>Vibration</term>
<term>X-Ray Microtomography</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>
<affiliations><list><country><li>Thaïlande</li>
</country>
</list>
<tree><noCountry><name sortKey="Haddawy, P" sort="Haddawy, P" uniqKey="Haddawy P" first="P." last="Haddawy">P. Haddawy</name>
<name sortKey="Hataidechadusadee, R" sort="Hataidechadusadee, R" uniqKey="Hataidechadusadee R" first="R." last="Hataidechadusadee">R. Hataidechadusadee</name>
<name sortKey="Suebnukarn, S" sort="Suebnukarn, S" uniqKey="Suebnukarn S" first="S." last="Suebnukarn">S. Suebnukarn</name>
<name sortKey="Suprasert, N" sort="Suprasert, N" uniqKey="Suprasert N" first="N." last="Suprasert">N. Suprasert</name>
<name sortKey="Suwannasri, N" sort="Suwannasri, N" uniqKey="Suwannasri N" first="N." last="Suwannasri">N. Suwannasri</name>
</noCountry>
<country name="Thaïlande"><noRegion><name sortKey="Rhienmora, P" sort="Rhienmora, P" uniqKey="Rhienmora P" first="P." last="Rhienmora">P. Rhienmora</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003237 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 003237 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= HapticV1 |flux= Main |étape= Exploration |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. |