Face and Construct Validation of a Virtual Peg Transfer Simulator
Identifieur interne : 002406 ( Ncbi/Merge ); précédent : 002405; suivant : 002407Face and Construct Validation of a Virtual Peg Transfer Simulator
Auteurs : Venkata S. Arikatla ; Ganesh Sankaranarayanan ; Woojin Ahn ; Amine Chellali ; Suvranu De ; Gl Caroline ; John Hwabejire ; Marc Demoya ; Steven Schwaitzberg ; Daniel B. JonesSource :
- Surgical endoscopy [ 0930-2794 ] ; 2012.
Abstract
The Fundamentals of Laparascopic Surgery (FLS) trainer box is now established as a standard for evaluating minimally invasive surgical skills. A particularly simple task in this trainer box is the peg transfer task which is aimed at testing the surgeon’s bimanual dexterity, hand-eye coordination, speed and precision. The Virtual Basic Laparoscopic Skill Trainer (VBLaST©) is a virtual version of the FLS tasks which allows automatic scoring and real time, subjective quantification of performance without the need of a human proctor. In this paper we report validation studies of the VBLaST© peg transfer (VBLaST-PT©) simulator.
Thirty-five subjects with medical background were divided into two groups: experts (PGY 4-5, fellows and practicing surgeons) and novices (PGY 1-3). The subjects were asked to perform the peg transfer task on both the FLS trainer box and the VBLaST-PT© simulator and their performance was evaluated based on established metrics of error and time. A new length of trajectory (LOT) metric has also been introduced for offline analysis. A questionnaire was used to rate the realism of the virtual system on a 5-point Likert scale.
Preliminary face validation of the VBLaST-PT© with 34 subjects rated on a 5-point Likert scale questionnaire revealed high scores for all aspects of simulation, with 3.53 being the lowest mean score across all questions. A two-tailed Mann-Whitney performed on the total scores showed significant (p=0.001) difference between the groups. A similar test performed on the task time (p=0.002) and the length of trajectory (p=0.004) separately showed statistically significant differences between the experts and novice groups (p<0.05). The experts appear to be traversing shorter overall trajectories in less time than the novices.
VBLaST-PT© showed both face and construct validity and has promise as a substitute for the FLS to training peg transfer skills.
Url:
DOI: 10.1007/s00464-012-2664-y
PubMed: 23263645
PubMed Central: 3625247
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Arikatla</name><affiliation><nlm:aff id="A1">Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</nlm:aff><wicri:noCountry code="subfield">Rensselaer Polytechnic Institute</wicri:noCountry></affiliation></author><author><name sortKey="Sankaranarayanan, Ganesh" sort="Sankaranarayanan, Ganesh" uniqKey="Sankaranarayanan G" first="Ganesh" last="Sankaranarayanan">Ganesh Sankaranarayanan</name><affiliation><nlm:aff id="A1">Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</nlm:aff><wicri:noCountry code="subfield">Rensselaer Polytechnic Institute</wicri:noCountry></affiliation></author><author><name sortKey="Ahn, Woojin" sort="Ahn, Woojin" uniqKey="Ahn W" first="Woojin" last="Ahn">Woojin Ahn</name><affiliation><nlm:aff id="A1">Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</nlm:aff><wicri:noCountry code="subfield">Rensselaer Polytechnic Institute</wicri:noCountry></affiliation></author><author><name sortKey="Chellali, Amine" sort="Chellali, Amine" uniqKey="Chellali A" first="Amine" last="Chellali">Amine Chellali</name><affiliation><nlm:aff id="A2">Department of Surgery, Cambridge Health Alliance, Harvard Medical School</nlm:aff><wicri:noCountry code="subfield">Harvard Medical School</wicri:noCountry></affiliation></author><author><name sortKey="De, Suvranu" sort="De, Suvranu" uniqKey="De S" first="Suvranu" last="De">Suvranu De</name><affiliation><nlm:aff id="A1">Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</nlm:aff><wicri:noCountry code="subfield">Rensselaer Polytechnic Institute</wicri:noCountry></affiliation></author><author><name sortKey="Caroline, Gl" sort="Caroline, Gl" uniqKey="Caroline G" first="Gl" last="Caroline">Gl Caroline</name><affiliation><nlm:aff id="A5">Department of Biomedical, Industrial and Human Factors Engineering Wright State University</nlm:aff><wicri:noCountry code="subfield">Industrial and Human Factors Engineering Wright State University</wicri:noCountry></affiliation></author><author><name sortKey="Hwabejire, John" sort="Hwabejire, John" uniqKey="Hwabejire J" first="John" last="Hwabejire">John Hwabejire</name><affiliation><nlm:aff id="A3">Division of Trauma, Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</nlm:aff><wicri:noCountry code="subfield">Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</wicri:noCountry></affiliation></author><author><name sortKey="Demoya, Marc" sort="Demoya, Marc" uniqKey="Demoya M" first="Marc" last="Demoya">Marc Demoya</name><affiliation><nlm:aff id="A3">Division of Trauma, Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</nlm:aff><wicri:noCountry code="subfield">Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</wicri:noCountry></affiliation></author><author><name sortKey="Schwaitzberg, Steven" sort="Schwaitzberg, Steven" uniqKey="Schwaitzberg S" first="Steven" last="Schwaitzberg">Steven Schwaitzberg</name><affiliation><nlm:aff id="A2">Department of Surgery, Cambridge Health Alliance, Harvard Medical School</nlm:aff><wicri:noCountry code="subfield">Harvard Medical School</wicri:noCountry></affiliation></author><author><name sortKey="Jones, Daniel B" sort="Jones, Daniel B" uniqKey="Jones D" first="Daniel B." last="Jones">Daniel B. Jones</name><affiliation><nlm:aff id="A4">Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School</nlm:aff><wicri:noCountry code="subfield">Harvard Medical School</wicri:noCountry></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">23263645</idno><idno type="pmc">3625247</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625247</idno><idno type="RBID">PMC:3625247</idno><idno type="doi">10.1007/s00464-012-2664-y</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">001A21</idno><idno type="wicri:Area/Pmc/Curation">001A21</idno><idno type="wicri:Area/Pmc/Checkpoint">001742</idno><idno type="wicri:Area/Ncbi/Merge">002406</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Face and Construct Validation of a Virtual Peg Transfer Simulator</title><author><name sortKey="Arikatla, Venkata S" sort="Arikatla, Venkata S" uniqKey="Arikatla V" first="Venkata S" last="Arikatla">Venkata S. Arikatla</name><affiliation><nlm:aff id="A1">Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</nlm:aff><wicri:noCountry code="subfield">Rensselaer Polytechnic Institute</wicri:noCountry></affiliation></author><author><name sortKey="Sankaranarayanan, Ganesh" sort="Sankaranarayanan, Ganesh" uniqKey="Sankaranarayanan G" first="Ganesh" last="Sankaranarayanan">Ganesh Sankaranarayanan</name><affiliation><nlm:aff id="A1">Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</nlm:aff><wicri:noCountry code="subfield">Rensselaer Polytechnic Institute</wicri:noCountry></affiliation></author><author><name sortKey="Ahn, Woojin" sort="Ahn, Woojin" uniqKey="Ahn W" first="Woojin" last="Ahn">Woojin Ahn</name><affiliation><nlm:aff id="A1">Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</nlm:aff><wicri:noCountry code="subfield">Rensselaer Polytechnic Institute</wicri:noCountry></affiliation></author><author><name sortKey="Chellali, Amine" sort="Chellali, Amine" uniqKey="Chellali A" first="Amine" last="Chellali">Amine Chellali</name><affiliation><nlm:aff id="A2">Department of Surgery, Cambridge Health Alliance, Harvard Medical School</nlm:aff><wicri:noCountry code="subfield">Harvard Medical School</wicri:noCountry></affiliation></author><author><name sortKey="De, Suvranu" sort="De, Suvranu" uniqKey="De S" first="Suvranu" last="De">Suvranu De</name><affiliation><nlm:aff id="A1">Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</nlm:aff><wicri:noCountry code="subfield">Rensselaer Polytechnic Institute</wicri:noCountry></affiliation></author><author><name sortKey="Caroline, Gl" sort="Caroline, Gl" uniqKey="Caroline G" first="Gl" last="Caroline">Gl Caroline</name><affiliation><nlm:aff id="A5">Department of Biomedical, Industrial and Human Factors Engineering Wright State University</nlm:aff><wicri:noCountry code="subfield">Industrial and Human Factors Engineering Wright State University</wicri:noCountry></affiliation></author><author><name sortKey="Hwabejire, John" sort="Hwabejire, John" uniqKey="Hwabejire J" first="John" last="Hwabejire">John Hwabejire</name><affiliation><nlm:aff id="A3">Division of Trauma, Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</nlm:aff><wicri:noCountry code="subfield">Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</wicri:noCountry></affiliation></author><author><name sortKey="Demoya, Marc" sort="Demoya, Marc" uniqKey="Demoya M" first="Marc" last="Demoya">Marc Demoya</name><affiliation><nlm:aff id="A3">Division of Trauma, Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</nlm:aff><wicri:noCountry code="subfield">Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</wicri:noCountry></affiliation></author><author><name sortKey="Schwaitzberg, Steven" sort="Schwaitzberg, Steven" uniqKey="Schwaitzberg S" first="Steven" last="Schwaitzberg">Steven Schwaitzberg</name><affiliation><nlm:aff id="A2">Department of Surgery, Cambridge Health Alliance, Harvard Medical School</nlm:aff><wicri:noCountry code="subfield">Harvard Medical School</wicri:noCountry></affiliation></author><author><name sortKey="Jones, Daniel B" sort="Jones, Daniel B" uniqKey="Jones D" first="Daniel B." last="Jones">Daniel B. Jones</name><affiliation><nlm:aff id="A4">Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School</nlm:aff><wicri:noCountry code="subfield">Harvard Medical School</wicri:noCountry></affiliation></author></analytic><series><title level="j">Surgical endoscopy</title><idno type="ISSN">0930-2794</idno><idno type="eISSN">1432-2218</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title><p id="P1">The Fundamentals of Laparascopic Surgery (FLS) trainer box is now established as a standard for evaluating minimally invasive surgical skills. A particularly simple task in this trainer box is the peg transfer task which is aimed at testing the surgeon’s bimanual dexterity, hand-eye coordination, speed and precision. The Virtual Basic Laparoscopic Skill Trainer (VBLaST<sup>©</sup>) is a virtual version of the FLS tasks which allows automatic scoring and real time, subjective quantification of performance without the need of a human proctor. In this paper we report validation studies of the VBLaST<sup>©</sup> peg transfer (VBLaST-PT<sup>©</sup>) simulator.</p></sec><sec id="S2"><title>Methods</title><p id="P2">Thirty-five subjects with medical background were divided into two groups: experts (PGY 4-5, fellows and practicing surgeons) and novices (PGY 1-3). The subjects were asked to perform the peg transfer task on both the FLS trainer box and the VBLaST-PT<sup>©</sup> simulator and their performance was evaluated based on established metrics of error and time. A new length of trajectory (LOT) metric has also been introduced for offline analysis. A questionnaire was used to rate the realism of the virtual system on a 5-point Likert scale.</p></sec><sec id="S3"><title>Results</title><p id="P3">Preliminary face validation of the VBLaST-PT<sup>©</sup> with 34 subjects rated on a 5-point Likert scale questionnaire revealed high scores for all aspects of simulation, with 3.53 being the lowest mean score across all questions. A two-tailed Mann-Whitney performed on the total scores showed significant (p=0.001) difference between the groups. A similar test performed on the task time (p=0.002) and the length of trajectory (p=0.004) separately showed statistically significant differences between the experts and novice groups (p<0.05). The experts appear to be traversing shorter overall trajectories in less time than the novices.</p></sec><sec id="S4"><title>Conclusion</title><p id="P4">VBLaST-PT© showed both face and construct validity and has promise as a substitute for the FLS to training peg transfer skills.</p></sec></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8806653</journal-id><journal-id journal-id-type="pubmed-jr-id">7653</journal-id><journal-id journal-id-type="nlm-ta">Surg Endosc</journal-id><journal-id journal-id-type="iso-abbrev">Surg Endosc</journal-id><journal-title-group><journal-title>Surgical endoscopy</journal-title></journal-title-group><issn pub-type="ppub">0930-2794</issn><issn pub-type="epub">1432-2218</issn></journal-meta><article-meta><article-id pub-id-type="pmid">23263645</article-id><article-id pub-id-type="pmc">3625247</article-id><article-id pub-id-type="doi">10.1007/s00464-012-2664-y</article-id><article-id pub-id-type="manuscript">NIHMS430917</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Face and Construct Validation of a Virtual Peg Transfer Simulator</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Arikatla</surname><given-names>Venkata S</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Sankaranarayanan</surname><given-names>Ganesh</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Ahn</surname><given-names>Woojin</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Chellali</surname><given-names>Amine</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>De</surname><given-names>Suvranu</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Caroline</surname><given-names>GL</given-names></name><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Hwabejire</surname><given-names>John</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>DeMoya</surname><given-names>Marc</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Schwaitzberg</surname><given-names>Steven</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Jones</surname><given-names>Daniel B.</given-names></name><xref ref-type="aff" rid="A4">4</xref></contrib></contrib-group><aff id="A1"><label>1</label>Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute</aff><aff id="A2"><label>2</label>Department of Surgery, Cambridge Health Alliance, Harvard Medical School</aff><aff id="A3"><label>3</label>Division of Trauma, Massachusetts General Hospital Harvard Medical School Massachusetts General Hospital</aff><aff id="A4"><label>4</label>Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School</aff><aff id="A5"><label>5</label>Department of Biomedical, Industrial and Human Factors Engineering Wright State University</aff><author-notes><corresp id="FN1">Corresponding Author: Prof. Suvranu De, JEC 2307, Chair, Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY 12180, Phone: 518-276-6096 Fax: 518-276-6025, <email>des@rpi.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>11</day><month>1</month><year>2013</year></pub-date><pub-date pub-type="epub"><day>14</day><month>12</month><year>2012</year></pub-date><pub-date pub-type="ppub"><month>5</month><year>2013</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>5</month><year>2014</year></pub-date><volume>27</volume><issue>5</issue><fpage>1721</fpage><lpage>1729</lpage><abstract><sec id="S1"><title>Background</title><p id="P1">The Fundamentals of Laparascopic Surgery (FLS) trainer box is now established as a standard for evaluating minimally invasive surgical skills. A particularly simple task in this trainer box is the peg transfer task which is aimed at testing the surgeon’s bimanual dexterity, hand-eye coordination, speed and precision. The Virtual Basic Laparoscopic Skill Trainer (VBLaST<sup>©</sup>) is a virtual version of the FLS tasks which allows automatic scoring and real time, subjective quantification of performance without the need of a human proctor. In this paper we report validation studies of the VBLaST<sup>©</sup> peg transfer (VBLaST-PT<sup>©</sup>) simulator.</p></sec><sec id="S2"><title>Methods</title><p id="P2">Thirty-five subjects with medical background were divided into two groups: experts (PGY 4-5, fellows and practicing surgeons) and novices (PGY 1-3). The subjects were asked to perform the peg transfer task on both the FLS trainer box and the VBLaST-PT<sup>©</sup> simulator and their performance was evaluated based on established metrics of error and time. A new length of trajectory (LOT) metric has also been introduced for offline analysis. A questionnaire was used to rate the realism of the virtual system on a 5-point Likert scale.</p></sec><sec id="S3"><title>Results</title><p id="P3">Preliminary face validation of the VBLaST-PT<sup>©</sup> with 34 subjects rated on a 5-point Likert scale questionnaire revealed high scores for all aspects of simulation, with 3.53 being the lowest mean score across all questions. A two-tailed Mann-Whitney performed on the total scores showed significant (p=0.001) difference between the groups. A similar test performed on the task time (p=0.002) and the length of trajectory (p=0.004) separately showed statistically significant differences between the experts and novice groups (p<0.05). The experts appear to be traversing shorter overall trajectories in less time than the novices.</p></sec><sec id="S4"><title>Conclusion</title><p id="P4">VBLaST-PT© showed both face and construct validity and has promise as a substitute for the FLS to training peg transfer skills.</p></sec></abstract><kwd-group><kwd>Virtual reality</kwd><kwd>Surgical training</kwd><kwd>Face validity</kwd><kwd>Construct validity</kwd><kwd>Laparoscopy</kwd><kwd>Length of trajectory</kwd></kwd-group><funding-group><award-group><funding-source country="United States">National Institute of Biomedical Imaging and Bioengineering : NIBIB</funding-source><award-id>R01 EB010037 || EB</award-id></award-group></funding-group></article-meta></front></pmc><affiliations><list></list><tree><noCountry><name sortKey="Ahn, Woojin" sort="Ahn, Woojin" uniqKey="Ahn W" first="Woojin" last="Ahn">Woojin Ahn</name><name sortKey="Arikatla, Venkata S" sort="Arikatla, Venkata S" uniqKey="Arikatla V" first="Venkata S" last="Arikatla">Venkata S. Arikatla</name><name sortKey="Caroline, Gl" sort="Caroline, Gl" uniqKey="Caroline G" first="Gl" last="Caroline">Gl Caroline</name><name sortKey="Chellali, Amine" sort="Chellali, Amine" uniqKey="Chellali A" first="Amine" last="Chellali">Amine Chellali</name><name sortKey="De, Suvranu" sort="De, Suvranu" uniqKey="De S" first="Suvranu" last="De">Suvranu De</name><name sortKey="Demoya, Marc" sort="Demoya, Marc" uniqKey="Demoya M" first="Marc" last="Demoya">Marc Demoya</name><name sortKey="Hwabejire, John" sort="Hwabejire, John" uniqKey="Hwabejire J" first="John" last="Hwabejire">John Hwabejire</name><name sortKey="Jones, Daniel B" sort="Jones, Daniel B" uniqKey="Jones D" first="Daniel B." last="Jones">Daniel B. Jones</name><name sortKey="Sankaranarayanan, Ganesh" sort="Sankaranarayanan, Ganesh" uniqKey="Sankaranarayanan G" first="Ganesh" last="Sankaranarayanan">Ganesh Sankaranarayanan</name><name sortKey="Schwaitzberg, Steven" sort="Schwaitzberg, Steven" uniqKey="Schwaitzberg S" first="Steven" last="Schwaitzberg">Steven Schwaitzberg</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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