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Virtual Mastoidectomy Performance Evaluation through Multi-Volume Analysis

Identifieur interne : 001809 ( Pmc/Curation ); précédent : 001808; suivant : 001810

Virtual Mastoidectomy Performance Evaluation through Multi-Volume Analysis

Auteurs : Thomas Kerwin ; Don Stredney ; Gregory Wiet ; Han-Wei Shen

Source :

RBID : PMC:3480554

Abstract

Purpose

Development of a visualization system that provides surgical instructors with a method to compare the results of many virtual surgeries (n > 100).

Methods

A masked distance field models the overlap between expert and resident results. Multiple volume displays are used side-by-side with a 2D point display.

Results

Performance characteristics were examined by comparing the results of specific residents with those of experts and the entire class.

Conclusions

The software provides a promising approach for comparing performance between large groups of residents learning mastoidectomy techniques.


Url:
DOI: 10.1007/s11548-012-0687-4
PubMed: 22528058
PubMed Central: 3480554

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PMC:3480554

Le document en format XML

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<title xml:lang="en">Virtual Mastoidectomy Performance Evaluation through Multi-Volume Analysis</title>
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<name sortKey="Kerwin, Thomas" sort="Kerwin, Thomas" uniqKey="Kerwin T" first="Thomas" last="Kerwin">Thomas Kerwin</name>
</author>
<author>
<name sortKey="Stredney, Don" sort="Stredney, Don" uniqKey="Stredney D" first="Don" last="Stredney">Don Stredney</name>
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<author>
<name sortKey="Wiet, Gregory" sort="Wiet, Gregory" uniqKey="Wiet G" first="Gregory" last="Wiet">Gregory Wiet</name>
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<author>
<name sortKey="Shen, Han Wei" sort="Shen, Han Wei" uniqKey="Shen H" first="Han-Wei" last="Shen">Han-Wei Shen</name>
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<title xml:lang="en" level="a" type="main">Virtual Mastoidectomy Performance Evaluation through Multi-Volume Analysis</title>
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<name sortKey="Kerwin, Thomas" sort="Kerwin, Thomas" uniqKey="Kerwin T" first="Thomas" last="Kerwin">Thomas Kerwin</name>
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<author>
<name sortKey="Stredney, Don" sort="Stredney, Don" uniqKey="Stredney D" first="Don" last="Stredney">Don Stredney</name>
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<author>
<name sortKey="Wiet, Gregory" sort="Wiet, Gregory" uniqKey="Wiet G" first="Gregory" last="Wiet">Gregory Wiet</name>
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<author>
<name sortKey="Shen, Han Wei" sort="Shen, Han Wei" uniqKey="Shen H" first="Han-Wei" last="Shen">Han-Wei Shen</name>
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<series>
<title level="j">International journal of computer assisted radiology and surgery</title>
<idno type="ISSN">1861-6410</idno>
<idno type="eISSN">1861-6429</idno>
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<title>Purpose</title>
<p id="P1">Development of a visualization system that provides surgical instructors with a method to compare the results of many virtual surgeries (
<italic>n</italic>
> 100).</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p id="P2">A masked distance field models the overlap between expert and resident results. Multiple volume displays are used side-by-side with a 2D point display.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P3">Performance characteristics were examined by comparing the results of specific residents with those of experts and the entire class.</p>
</sec>
<sec id="S4">
<title>Conclusions</title>
<p id="P4">The software provides a promising approach for comparing performance between large groups of residents learning mastoidectomy techniques.</p>
</sec>
</div>
</front>
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<journal-id journal-id-type="nlm-journal-id">101499225</journal-id>
<journal-id journal-id-type="pubmed-jr-id">36351</journal-id>
<journal-id journal-id-type="nlm-ta">Int J Comput Assist Radiol Surg</journal-id>
<journal-id journal-id-type="iso-abbrev">Int J Comput Assist Radiol Surg</journal-id>
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<journal-title>International journal of computer assisted radiology and surgery</journal-title>
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<subject>Article</subject>
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<article-title>Virtual Mastoidectomy Performance Evaluation through Multi-Volume Analysis</article-title>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Kerwin</surname>
<given-names>Thomas</given-names>
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<aff id="A1">Ohio Supercomputer Center, Columbus, Ohio, USA</aff>
<email>kerwin@osc.edu</email>
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<contrib contrib-type="author">
<name>
<surname>Stredney</surname>
<given-names>Don</given-names>
</name>
<aff id="A2">Ohio Supercomputer Center, Columbus, Ohio, USA</aff>
<email>don@osc.edu</email>
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<contrib contrib-type="author">
<name>
<surname>Wiet</surname>
<given-names>Gregory</given-names>
</name>
<aff id="A3">Nationwide Children’s Hospital, Columbus, Ohio, USA, The Ohio State University Medical Center, Columbus, Ohio, USA</aff>
<email>gregory.wiet@nationwidechildrens.org</email>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shen</surname>
<given-names>Han-Wei</given-names>
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<aff id="A4">Department of Computer Science and Engineering, Ohio State University, Columbus, Ohio, USA</aff>
<email>hwshen@cse.ohio-state.edu</email>
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<pub-date pub-type="nihms-submitted">
<day>12</day>
<month>7</month>
<year>2012</year>
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<day>12</day>
<month>4</month>
<year>2012</year>
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<pub-date pub-type="ppub">
<month>1</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>01</day>
<month>1</month>
<year>2014</year>
</pub-date>
<volume>8</volume>
<issue>1</issue>
<fpage>51</fpage>
<lpage>61</lpage>
<abstract>
<sec id="S1">
<title>Purpose</title>
<p id="P1">Development of a visualization system that provides surgical instructors with a method to compare the results of many virtual surgeries (
<italic>n</italic>
> 100).</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p id="P2">A masked distance field models the overlap between expert and resident results. Multiple volume displays are used side-by-side with a 2D point display.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P3">Performance characteristics were examined by comparing the results of specific residents with those of experts and the entire class.</p>
</sec>
<sec id="S4">
<title>Conclusions</title>
<p id="P4">The software provides a promising approach for comparing performance between large groups of residents learning mastoidectomy techniques.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Volume feature extraction</kwd>
<kwd>comparative visualization</kwd>
<kwd>mastoidectomy</kwd>
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<funding-group>
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<funding-source country="United States">National Institute on Deafness and Other Communication Disorders : NIDCD</funding-source>
<award-id>R01 DC011321 || DC</award-id>
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