Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models
Identifieur interne : 004E28 ( Istex/Corpus ); 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 ; P. HaddawySource :
- International Endodontic Journal [ 0143-2885 ] ; 2011-11.
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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.
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DOI: 10.1111/j.1365-2591.2011.01899.x
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<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></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></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></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></affiliation></author><author><name sortKey="Rhienmora, P" sort="Rhienmora, P" uniqKey="Rhienmora P" first="P." last="Rhienmora">P. Rhienmora</name><affiliation><mods:affiliation>Asian Institute of Technology, School of Engineering and Technology, Pathumthani, Thailand</mods:affiliation></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></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></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></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></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></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></affiliation></author><author><name sortKey="Rhienmora, P" sort="Rhienmora, P" uniqKey="Rhienmora P" first="P." last="Rhienmora">P. Rhienmora</name><affiliation><mods:affiliation>Asian Institute of Technology, School of Engineering and Technology, Pathumthani, Thailand</mods:affiliation></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></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><istex><corpusName>wiley</corpusName><author><json:item><name>S. Suebnukarn</name><affiliations><json:string>Faculty of Dentistry, Thammasat University, Pathumthani</json:string></affiliations></json:item><json:item><name>R. Hataidechadusadee</name><affiliations><json:string>Faculty of Dentistry, Thammasat University, Pathumthani</json:string></affiliations></json:item><json:item><name>N. Suwannasri</name><affiliations><json:string>Faculty of Dentistry, Thammasat University, Pathumthani</json:string></affiliations></json:item><json:item><name>N. Suprasert</name><affiliations><json:string>Faculty of Dentistry, Thammasat University, Pathumthani</json:string></affiliations></json:item><json:item><name>P. Rhienmora</name><affiliations><json:string>Asian Institute of Technology, School of Engineering and Technology, Pathumthani, Thailand</json:string></affiliations></json:item><json:item><name>P. Haddawy</name><affiliations><json:string>International Institute for Software Technology, United Nations University, Casa Silva Mendes, Macao</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>access preparation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>endodontics</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>haptic</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>microcomputed tomography</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>procedural error</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>virtual reality</value></json:item></subject><articleId><json:string>IEJ1899</json:string></articleId><language><json:string>eng</json:string></language><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.</abstract><qualityIndicators><score>6.372</score><pdfVersion>1.3</pdfVersion><pdfPageSize>595.276 x 782.362 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>6</keywordCount><abstractCharCount>2118</abstractCharCount><pdfWordCount>3372</pdfWordCount><pdfCharCount>21991</pdfCharCount><pdfPageCount>7</pdfPageCount><abstractWordCount>298</abstractWordCount></qualityIndicators><title>Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models</title><genre.original><json:string>article</json:string></genre.original><genre><json:string>article</json:string></genre><host><volume>44</volume><publisherId><json:string>IEJ</json:string></publisherId><pages><total>7</total><last>989</last><first>983</first></pages><issn><json:string>0143-2885</json:string></issn><issue>11</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1365-2591</json:string></eissn><title>International Endodontic Journal</title><doi><json:string>10.1111/(ISSN)1365-2591</json:string></doi></host><publicationDate>2011</publicationDate><copyrightDate>2011</copyrightDate><doi><json:string>10.1111/j.1365-2591.2011.01899.x</json:string></doi><id>60DB394450E2B1D1EA8B76136B8DA1F7A64E7555</id><score>1</score><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/60DB394450E2B1D1EA8B76136B8DA1F7A64E7555/fulltext/pdf</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/60DB394450E2B1D1EA8B76136B8DA1F7A64E7555/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/60DB394450E2B1D1EA8B76136B8DA1F7A64E7555/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><availability><p>WILEY</p></availability><date>2011</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models</title><author><persName><forename type="first">S.</forename><surname>Suebnukarn</surname></persName><affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</affiliation></author><author><persName><forename type="first">R.</forename><surname>Hataidechadusadee</surname></persName><affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</affiliation></author><author><persName><forename type="first">N.</forename><surname>Suwannasri</surname></persName><affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</affiliation></author><author><persName><forename type="first">N.</forename><surname>Suprasert</surname></persName><affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</affiliation></author><author><persName><forename type="first">P.</forename><surname>Rhienmora</surname></persName><affiliation>Asian Institute of Technology, School of Engineering and Technology, Pathumthani, Thailand</affiliation></author><author><persName><forename type="first">P.</forename><surname>Haddawy</surname></persName><affiliation>International Institute for Software Technology, United Nations University, Casa Silva Mendes, Macao</affiliation></author></analytic><monogr><title level="j">International Endodontic Journal</title><idno type="pISSN">0143-2885</idno><idno type="eISSN">1365-2591</idno><idno type="DOI">10.1111/(ISSN)1365-2591</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="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></monogr><idno type="istex">60DB394450E2B1D1EA8B76136B8DA1F7A64E7555</idno><idno type="DOI">10.1111/j.1365-2591.2011.01899.x</idno><idno type="ArticleID">IEJ1899</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2011</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>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.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>access preparation</term></item><item><term>endodontics</term></item><item><term>haptic</term></item><item><term>microcomputed tomography</term></item><item><term>procedural error</term></item><item><term>virtual reality</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2011-11">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><original>false</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/60DB394450E2B1D1EA8B76136B8DA1F7A64E7555/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Ltd</publisherName><publisherLoc>Oxford, UK</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1365-2591</doi><issn type="print">0143-2885</issn><issn type="electronic">1365-2591</issn><idGroup><id type="product" value="IEJ"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="INTERNATIONAL ENDODONTIC JOURNAL">International Endodontic Journal</title></titleGroup></publicationMeta><publicationMeta level="part" position="11111"><doi origin="wiley">10.1111/iej.2011.44.issue-11</doi><numberingGroup><numbering type="journalVolume" number="44">44</numbering><numbering type="journalIssue" number="11">11</numbering></numberingGroup><coverDate startDate="2011-11">November 2011</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="1" status="forIssue"><doi origin="wiley">10.1111/j.1365-2591.2011.01899.x</doi><idGroup><id type="unit" value="IEJ1899"></id></idGroup><countGroup><count type="pageTotal" number="7"></count></countGroup><titleGroup><title type="tocHeading1">Original Scientific Articles</title></titleGroup><copyright>© 2011 International Endodontic Journal</copyright><eventGroup><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.10 mode:FullText" date="2011-10-06"></event><event type="publishedOnlineEarlyUnpaginated" date="2011-05-28"></event><event type="firstOnline" date="2011-05-28"></event><event type="publishedOnlineFinalForm" date="2011-10-06"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-27"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-23"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="983">983</numbering><numbering type="pageLast" number="989">989</numbering></numberingGroup><correspondenceTo>Siriwan Suebnukarn, Faculty of Dentistry, Thammasat University, Pathumthani 12121, Thailand (Tel.: +66 1 6425582; fax: +66 2 9869205; e‐mail: <email>siriwan.suebnukarn@gmail.com</email>).</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:IEJ.IEJ1899.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Received 5 February 2011; accepted 9 May 2011</unparsedEditorialHistory><countGroup><count type="figureTotal" number="3"></count><count type="tableTotal" number="1"></count></countGroup><titleGroup><title type="main">Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models</title><title type="shortAuthors"><i>Suebnukarn et al.</i></title><title type="short">Haptic virtual reality for endodontic training</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>S.</givenNames><familyName>Suebnukarn</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a1"><personName><givenNames>R.</givenNames><familyName>Hataidechadusadee</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a1"><personName><givenNames>N.</givenNames><familyName>Suwannasri</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a1"><personName><givenNames>N.</givenNames><familyName>Suprasert</familyName></personName></creator><creator creatorRole="author" xml:id="cr5" affiliationRef="#a2"><personName><givenNames>P.</givenNames><familyName>Rhienmora</familyName></personName></creator><creator creatorRole="author" xml:id="cr6" affiliationRef="#a3"><personName><givenNames>P.</givenNames><familyName>Haddawy</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1"><unparsedAffiliation>Faculty of Dentistry, Thammasat University, Pathumthani</unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="TH"><unparsedAffiliation>Asian Institute of Technology, School of Engineering and Technology, Pathumthani, Thailand</unparsedAffiliation></affiliation><affiliation xml:id="a3" countryCode="MO"><unparsedAffiliation>International Institute for Software Technology, United Nations University, Casa Silva Mendes, Macao</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">access preparation</keyword><keyword xml:id="k2">endodontics</keyword><keyword xml:id="k3">haptic</keyword><keyword xml:id="k4">microcomputed tomography</keyword><keyword xml:id="k5">procedural error</keyword><keyword xml:id="k6">virtual reality</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><section xml:id="sec-sum-1"><p><b>Suebnukarn S, Hataidechadusadee R, Suwannasri N, Suprasert N, Rhienmora P, Haddawy P.</b> Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models. <i>International Endodontic Journal</i>, <b>44</b>, 983–989, 2011.</p></section><section xml:id="abs1-1"><title type="main">Abstract</title><p><b>Aim </b> 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.</p><p><b>Methodology </b> 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 (<i>n </i>=<i> </i>16) or extracted teeth in a phantom head (<i>n </i>=<i> </i>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 <i>t</i>‐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.</p><p><b>Results </b> Post‐training performance had improved compared with pre‐training performance in error scores in both groups (<i>P </i><<i> </i>0.05). However, error score reduction between the haptic VR simulator and the conventional training group was not significantly different (<i>P </i>><i> </i>0.05). The VR simulator group decreased significantly (<i>P </i><<i> </i>0.05) the amount of hard tissue volume lost on the post‐training exercise. Task completion time was not significantly different (<i>P </i>><i> </i>0.05) in both groups.</p><p><b>Conclusions </b> Training on the haptic VR simulator and conventional phantom head had equivalent effects on minimizing procedural errors in endodontic access cavity preparation.</p></section></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models</title></titleInfo><titleInfo type="abbreviated"><title>Haptic virtual reality for endodontic training</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Access cavity preparation training using haptic virtual reality and microcomputed tomography tooth models</title></titleInfo><name type="personal"><namePart type="given">S.</namePart><namePart type="family">Suebnukarn</namePart><affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">R.</namePart><namePart type="family">Hataidechadusadee</namePart><affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">N.</namePart><namePart type="family">Suwannasri</namePart><affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">N.</namePart><namePart type="family">Suprasert</namePart><affiliation>Faculty of Dentistry, Thammasat University, Pathumthani</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">P.</namePart><namePart type="family">Rhienmora</namePart><affiliation>Asian Institute of Technology, School of Engineering and Technology, Pathumthani, Thailand</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">P.</namePart><namePart type="family">Haddawy</namePart><affiliation>International Institute for Software Technology, United Nations University, Casa Silva Mendes, Macao</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">2011-11</dateIssued><edition>Received 5 February 2011; accepted 9 May 2011</edition><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">3</extent><extent unit="tables">1</extent></physicalDescription><abstract 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.</abstract><subject lang="en"><genre>keywords</genre><topic>access preparation</topic><topic>endodontics</topic><topic>haptic</topic><topic>microcomputed tomography</topic><topic>procedural error</topic><topic>virtual reality</topic></subject><relatedItem type="host"><titleInfo><title>International Endodontic Journal</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">0143-2885</identifier><identifier type="eISSN">1365-2591</identifier><identifier type="DOI">10.1111/(ISSN)1365-2591</identifier><identifier type="PublisherID">IEJ</identifier><part><date>2011</date><detail type="volume"><caption>vol.</caption><number>44</number></detail><detail type="issue"><caption>no.</caption><number>11</number></detail><extent unit="pages"><start>983</start><end>989</end><total>7</total></extent></part></relatedItem><identifier type="istex">60DB394450E2B1D1EA8B76136B8DA1F7A64E7555</identifier><identifier type="DOI">10.1111/j.1365-2591.2011.01899.x</identifier><identifier type="ArticleID">IEJ1899</identifier><accessCondition type="use and reproduction" contentType="copyright">© 2011 International Endodontic Journal</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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