Three-dimensional virtual reality simulation of periarticular tumors using Dextroscope reconstruction and simulated surgery: A preliminary 10-case study
Identifieur interne : 000D36 ( Main/Merge ); précédent : 000D35; suivant : 000D37Three-dimensional virtual reality simulation of periarticular tumors using Dextroscope reconstruction and simulated surgery: A preliminary 10-case study
Auteurs : Jingsheng Shi ; Jun Xia ; Yibing Wei ; Siqun Wang ; Jianguo Wu ; Feiyan Chen ; Gangyong Huang ; Jie ChenSource :
- Medical Science Monitor : International Medical Journal of Experimental and Clinical Research [ 1234-1010 ] ; 2014.
Abstract
Dextroscope® three-dimensional (3D) imaging has been extensively used to generate virtual reality (VR) workspaces for neurosurgery and laparoscopy, but few applications have been reported for orthopedic surgery. Here, we investigated orthopedic periarticular tumor surgery planning and anatomical characteristics using a Dextroscope.
Patients undergoing surgery for periarticular tumors (
Anatomical characteristics in the area of interest and tumor diameters in all 3 planes (superior-inferior, medial-lateral, and anteroposterior) were consistent between virtual and actual data (3.92±1.22, 1.96±0.53, and 1.73±0.44
Anatomical structures of periarticular tumors can be reconstructed using the Dextroscope system with good accuracy in the case of simple fenestration, increasing treatment individualization, surgical competence level, and potentially reducing intraoperative complications. However, further specialization of VR tools for use in orthopedic applications that involve specialized tools and procedures, such as drilling and implant placement, are urgently need.
Url:
DOI: 10.12659/MSM.8897770
PubMed: 24961404
PubMed Central: 4076173
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Three-dimensional virtual reality simulation of periarticular tumors using Dextroscope reconstruction and simulated surgery: A preliminary 10-case study</title>
<author><name sortKey="Shi, Jingsheng" sort="Shi, Jingsheng" uniqKey="Shi J" first="Jingsheng" last="Shi">Jingsheng Shi</name>
</author>
<author><name sortKey="Xia, Jun" sort="Xia, Jun" uniqKey="Xia J" first="Jun" last="Xia">Jun Xia</name>
</author>
<author><name sortKey="Wei, Yibing" sort="Wei, Yibing" uniqKey="Wei Y" first="Yibing" last="Wei">Yibing Wei</name>
</author>
<author><name sortKey="Wang, Siqun" sort="Wang, Siqun" uniqKey="Wang S" first="Siqun" last="Wang">Siqun Wang</name>
</author>
<author><name sortKey="Wu, Jianguo" sort="Wu, Jianguo" uniqKey="Wu J" first="Jianguo" last="Wu">Jianguo Wu</name>
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<author><name sortKey="Chen, Feiyan" sort="Chen, Feiyan" uniqKey="Chen F" first="Feiyan" last="Chen">Feiyan Chen</name>
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<author><name sortKey="Huang, Gangyong" sort="Huang, Gangyong" uniqKey="Huang G" first="Gangyong" last="Huang">Gangyong Huang</name>
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<author><name sortKey="Chen, Jie" sort="Chen, Jie" uniqKey="Chen J" first="Jie" last="Chen">Jie Chen</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Three-dimensional virtual reality simulation of periarticular tumors using Dextroscope reconstruction and simulated surgery: A preliminary 10-case study</title>
<author><name sortKey="Shi, Jingsheng" sort="Shi, Jingsheng" uniqKey="Shi J" first="Jingsheng" last="Shi">Jingsheng Shi</name>
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<author><name sortKey="Xia, Jun" sort="Xia, Jun" uniqKey="Xia J" first="Jun" last="Xia">Jun Xia</name>
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<author><name sortKey="Wei, Yibing" sort="Wei, Yibing" uniqKey="Wei Y" first="Yibing" last="Wei">Yibing Wei</name>
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<author><name sortKey="Wang, Siqun" sort="Wang, Siqun" uniqKey="Wang S" first="Siqun" last="Wang">Siqun Wang</name>
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<author><name sortKey="Wu, Jianguo" sort="Wu, Jianguo" uniqKey="Wu J" first="Jianguo" last="Wu">Jianguo Wu</name>
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<author><name sortKey="Chen, Feiyan" sort="Chen, Feiyan" uniqKey="Chen F" first="Feiyan" last="Chen">Feiyan Chen</name>
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<author><name sortKey="Huang, Gangyong" sort="Huang, Gangyong" uniqKey="Huang G" first="Gangyong" last="Huang">Gangyong Huang</name>
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<author><name sortKey="Chen, Jie" sort="Chen, Jie" uniqKey="Chen J" first="Jie" last="Chen">Jie Chen</name>
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<series><title level="j">Medical Science Monitor : International Medical Journal of Experimental and Clinical Research</title>
<idno type="ISSN">1234-1010</idno>
<idno type="eISSN">1643-3750</idno>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Dextroscope<sup>®</sup>
three-dimensional (3D) imaging has been extensively used to generate virtual reality (VR) workspaces for neurosurgery and laparoscopy, but few applications have been reported for orthopedic surgery. Here, we investigated orthopedic periarticular tumor surgery planning and anatomical characteristics using a Dextroscope.</p>
</sec>
<sec><title>Material/Methods</title>
<p>Patients undergoing surgery for periarticular tumors (<italic>n</italic>
=10) between October 2008 and June 2010 were enrolled and presurgically subjected to computed tomography (CT), magnetic resonance imaging (MRI), and MRI angiography (MRI-A). Imaging data were transferred and integrated in a Dextroscope to produce a VR simulation. The presurgical 3D anatomical reconstructions and intraoperative anatomical characteristics (virtual <italic>vs.</italic>
actual data) and surgical approach (virtual <italic>vs.</italic>
actual situation) measurement and subjective appearance were compared.</p>
</sec>
<sec><title>Results</title>
<p>Anatomical characteristics in the area of interest and tumor diameters in all 3 planes (superior-inferior, medial-lateral, and anteroposterior) were consistent between virtual and actual data (3.92±1.22, 1.96±0.53, and 1.73±0.44 <italic>vs.</italic>
3.92±1.13, 1.91±0.44, and 1.81±0.41; <italic>P</italic>
=0.99, 0.24, and 0.09, respectively). However, the virtual surgical situations were inconsistent with the actual intraoperative situation in many cases, leading to complications. The resolutions of the original CT, MRI, and MRI-A images directly correlated with 3D simulation quality, with soft tissues most poorly represented. Tumor tissue imaging quality in 3D varied extensively by tumor type.</p>
</sec>
<sec><title>Conclusions</title>
<p>Anatomical structures of periarticular tumors can be reconstructed using the Dextroscope system with good accuracy in the case of simple fenestration, increasing treatment individualization, surgical competence level, and potentially reducing intraoperative complications. However, further specialization of VR tools for use in orthopedic applications that involve specialized tools and procedures, such as drilling and implant placement, are urgently need.</p>
</sec>
</div>
</front>
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