Virtual reality, ultrasound-guided liver biopsy simulator: development and performance discrimination
Identifieur interne : 001314 ( Pmc/Curation ); précédent : 001313; suivant : 001315Virtual reality, ultrasound-guided liver biopsy simulator: development and performance discrimination
Auteurs : S J Johnson [Royaume-Uni] ; C M Hunt [Royaume-Uni] ; H M Woolnough [Royaume-Uni] ; M. Crawshaw [Royaume-Uni] ; C. Kilkenny [Royaume-Uni] ; D A Gould [Royaume-Uni] ; A. England [Royaume-Uni] ; A. Sinha [Royaume-Uni] ; P F Villard [Royaume-Uni]Source :
- The British Journal of Radiology [ 0007-1285 ] ; 2012.
Abstract
The aim of this article was to identify and prospectively investigate simulated ultrasound-guided targeted liver biopsy performance metrics as differentiators between levels of expertise in interventional radiology.
Task analysis produced detailed procedural step documentation allowing identification of critical procedure steps and performance metrics for use in a virtual reality ultrasound-guided targeted liver biopsy procedure. Consultant (
Independent
It is possible to measure and monitor performance using simulation, with performance metrics providing feedback on skill level and differentiating levels of expertise. However, a transfer of training study is required.
Url:
DOI: 10.1259/bjr/47436030
PubMed: 21304005
PubMed Central: 3479890
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<author><name sortKey="Villard, P F" sort="Villard, P F" uniqKey="Villard P" first="P F" last="Villard">P F Villard</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Virtual reality, ultrasound-guided liver biopsy simulator: development and performance discrimination</title>
<author><name sortKey="Johnson, S J" sort="Johnson, S J" uniqKey="Johnson S" first="S J" last="Johnson">S J Johnson</name>
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<author><name sortKey="Crawshaw, M" sort="Crawshaw, M" uniqKey="Crawshaw M" first="M" last="Crawshaw">M. Crawshaw</name>
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</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Psychology, University of Hull, Hull</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Kilkenny, C" sort="Kilkenny, C" uniqKey="Kilkenny C" first="C" last="Kilkenny">C. Kilkenny</name>
<affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Department of Psychology, University of Hull, Hull, UK</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Psychology, University of Hull, Hull</wicri:regionArea>
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</author>
<author><name sortKey="Gould, D A" sort="Gould, D A" uniqKey="Gould D" first="D A" last="Gould">D A Gould</name>
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<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Royal Liverpool University Hospital NHS Trust, Liverpool</wicri:regionArea>
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<author><name sortKey="England, A" sort="England, A" uniqKey="England A" first="A" last="England">A. England</name>
<affiliation wicri:level="1"><nlm:aff id="aff4"><addr-line>Directorate of Medical Imaging & Radiotherapy, University of Liverpool, Liverpool, UK</addr-line>
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<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Directorate of Medical Imaging & Radiotherapy, University of Liverpool, Liverpool</wicri:regionArea>
</affiliation>
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<author><name sortKey="Sinha, A" sort="Sinha, A" uniqKey="Sinha A" first="A" last="Sinha">A. Sinha</name>
<affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Royal Liverpool University Hospital NHS Trust, Liverpool, UK</addr-line>
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<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Royal Liverpool University Hospital NHS Trust, Liverpool</wicri:regionArea>
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<author><name sortKey="Villard, P F" sort="Villard, P F" uniqKey="Villard P" first="P F" last="Villard">P F Villard</name>
<affiliation wicri:level="1"><nlm:aff id="aff5"><addr-line>Imperial College, London, UK</addr-line>
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<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Imperial College, London</wicri:regionArea>
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<series><title level="j">The British Journal of Radiology</title>
<idno type="ISSN">0007-1285</idno>
<idno type="eISSN">1748-880X</idno>
<imprint><date when="2012">2012</date>
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<front><div type="abstract" xml:lang="en"><sec><title>Objectives</title>
<p>The aim of this article was to identify and prospectively investigate simulated ultrasound-guided targeted liver biopsy performance metrics as differentiators between levels of expertise in interventional radiology.</p>
</sec>
<sec><title>Methods</title>
<p>Task analysis produced detailed procedural step documentation allowing identification of critical procedure steps and performance metrics for use in a virtual reality ultrasound-guided targeted liver biopsy procedure. Consultant (<italic>n</italic>
=14; male=11, female=3) and trainee (<italic>n</italic>
=26; male=19, female=7) scores on the performance metrics were compared. Ethical approval was granted by the Liverpool Research Ethics Committee (UK). Independent <italic>t</italic>
-tests and analysis of variance (ANOVA) investigated differences between groups.</p>
</sec>
<sec><title>Results</title>
<p>Independent <italic>t</italic>
-tests revealed significant differences between trainees and consultants on three performance metrics: targeting, <italic>p</italic>
=0.018, <italic>t</italic>
=−2.487 (−2.040 to −0.207); probe usage time, <italic>p =</italic>
0.040, <italic>t</italic>
=2.132 (11.064 to 427.983); mean needle length in beam, <italic>p</italic>
=0.029, <italic>t</italic>
=−2.272 (−0.028 to −0.002). ANOVA reported significant differences across years of experience (0–1, 1–2, 3+ years) on seven performance metrics: no-go area touched, <italic>p</italic>
=0.012; targeting, <italic>p</italic>
=0.025; length of session, <italic>p</italic>
=0.024; probe usage time, <italic>p</italic>
=0.025; total needle distance moved, <italic>p</italic>
=0.038; number of skin contacts, <italic>p</italic>
<0.001; total time in no-go area, <italic>p</italic>
=0.008. More experienced participants consistently received better performance scores on all 19 performance metrics.</p>
</sec>
<sec><title>Conclusion</title>
<p>It is possible to measure and monitor performance using simulation, with performance metrics providing feedback on skill level and differentiating levels of expertise. However, a transfer of training study is required.</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>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Br J Radiol</journal-id>
<journal-id journal-id-type="iso-abbrev">Br J Radiol</journal-id>
<journal-id journal-id-type="hwp">bjradio</journal-id>
<journal-id journal-id-type="publisher-id">bjr</journal-id>
<journal-title-group><journal-title>The British Journal of Radiology</journal-title>
</journal-title-group>
<issn pub-type="ppub">0007-1285</issn>
<issn pub-type="epub">1748-880X</issn>
<publisher><publisher-name>The British Institute of Radiology.</publisher-name>
<publisher-loc>36 Portland Place, London, W1B 1AT</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">21304005</article-id>
<article-id pub-id-type="pmc">3479890</article-id>
<article-id pub-id-type="publisher-id">D10442</article-id>
<article-id pub-id-type="doi">10.1259/bjr/47436030</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Full Paper</subject>
</subj-group>
</article-categories>
<title-group><article-title>Virtual reality, ultrasound-guided liver biopsy simulator: development and performance discrimination</article-title>
<alt-title alt-title-type="running-head">Virtual reality liver biopsy simulator</alt-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Johnson</surname>
<given-names>S J</given-names>
</name>
<degrees>MSc, PhD</degrees>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Hunt</surname>
<given-names>C M</given-names>
</name>
<degrees>MA, PhD</degrees>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Woolnough</surname>
<given-names>H M</given-names>
</name>
<degrees>MA, PhD</degrees>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Crawshaw</surname>
<given-names>M</given-names>
</name>
<degrees>BSc, PhD</degrees>
<xref ref-type="aff" rid="aff2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kilkenny</surname>
<given-names>C</given-names>
</name>
<degrees>BSc</degrees>
<xref ref-type="aff" rid="aff2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Gould</surname>
<given-names>D A</given-names>
</name>
<degrees>FRCP, MRCP</degrees>
<xref ref-type="aff" rid="aff3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>England</surname>
<given-names>A</given-names>
</name>
<degrees>PgCert, MSc</degrees>
<xref ref-type="aff" rid="aff4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Sinha</surname>
<given-names>A</given-names>
</name>
<degrees>MBBS, PhD</degrees>
<xref ref-type="aff" rid="aff3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Villard</surname>
<given-names>P F</given-names>
</name>
<degrees>MSc, PhD</degrees>
<xref ref-type="aff" rid="aff5">5</xref>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label>
<addr-line>Manchester Business School, University of Manchester, Manchester, UK</addr-line>
</aff>
<aff id="aff2"><label>2</label>
<addr-line>Department of Psychology, University of Hull, Hull, UK</addr-line>
</aff>
<aff id="aff3"><label>3</label>
<addr-line>Royal Liverpool University Hospital NHS Trust, Liverpool, UK</addr-line>
</aff>
<aff id="aff4"><label>4</label>
<addr-line>Directorate of Medical Imaging & Radiotherapy, University of Liverpool, Liverpool, UK</addr-line>
</aff>
<aff id="aff5"><label>5</label>
<addr-line>Imperial College, London, UK</addr-line>
</aff>
<author-notes><corresp id="cor1">Correspondence: Dr Sheena Johnson, Manchester Business School, Booth Street East, Manchester MI5 6PB, UK. E-mail: <email>sheena.johnson@mbs.ac.uk</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub"><month>5</month>
<year>2012</year>
</pub-date>
<volume>85</volume>
<issue>1013</issue>
<fpage>555</fpage>
<lpage>561</lpage>
<history><date date-type="received"><day>10</day>
<month>5</month>
<year>2010</year>
</date>
<date date-type="rev-recd"><day>13</day>
<month>7</month>
<year>2010</year>
</date>
<date date-type="accepted"><day>21</day>
<month>7</month>
<year>2010</year>
</date>
</history>
<permissions><copyright-statement>© 2012 The British Institute of Radiology</copyright-statement>
<copyright-year>2012</copyright-year>
</permissions>
<abstract><sec><title>Objectives</title>
<p>The aim of this article was to identify and prospectively investigate simulated ultrasound-guided targeted liver biopsy performance metrics as differentiators between levels of expertise in interventional radiology.</p>
</sec>
<sec><title>Methods</title>
<p>Task analysis produced detailed procedural step documentation allowing identification of critical procedure steps and performance metrics for use in a virtual reality ultrasound-guided targeted liver biopsy procedure. Consultant (<italic>n</italic>
=14; male=11, female=3) and trainee (<italic>n</italic>
=26; male=19, female=7) scores on the performance metrics were compared. Ethical approval was granted by the Liverpool Research Ethics Committee (UK). Independent <italic>t</italic>
-tests and analysis of variance (ANOVA) investigated differences between groups.</p>
</sec>
<sec><title>Results</title>
<p>Independent <italic>t</italic>
-tests revealed significant differences between trainees and consultants on three performance metrics: targeting, <italic>p</italic>
=0.018, <italic>t</italic>
=−2.487 (−2.040 to −0.207); probe usage time, <italic>p =</italic>
0.040, <italic>t</italic>
=2.132 (11.064 to 427.983); mean needle length in beam, <italic>p</italic>
=0.029, <italic>t</italic>
=−2.272 (−0.028 to −0.002). ANOVA reported significant differences across years of experience (0–1, 1–2, 3+ years) on seven performance metrics: no-go area touched, <italic>p</italic>
=0.012; targeting, <italic>p</italic>
=0.025; length of session, <italic>p</italic>
=0.024; probe usage time, <italic>p</italic>
=0.025; total needle distance moved, <italic>p</italic>
=0.038; number of skin contacts, <italic>p</italic>
<0.001; total time in no-go area, <italic>p</italic>
=0.008. More experienced participants consistently received better performance scores on all 19 performance metrics.</p>
</sec>
<sec><title>Conclusion</title>
<p>It is possible to measure and monitor performance using simulation, with performance metrics providing feedback on skill level and differentiating levels of expertise. However, a transfer of training study is required.</p>
</sec>
</abstract>
</article-meta>
</front>
</pmc>
</record>
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