Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback
Identifieur interne : 003371 ( Main/Merge ); précédent : 003370; suivant : 003372Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback
Auteurs : Cristian J. Luciano [États-Unis] ; P. Pat Banerjee [États-Unis] ; Brad Bellotte [États-Unis] ; G. Michael [États-Unis] ; Michael Jr Lemole [États-Unis] ; Fady T. Charbel [États-Unis] ; Ben Roitberg [États-Unis]Source :
- Neurosurgery [ 0148-396X ] ; 2011.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Chirurgie, Simulation, Réalité virtuelle.
English descriptors
- KwdEn :
Abstract
BACKGROUND: We evaluated the use of a part-task simulator with 3D and haptic feedback as a training tool for a common neurosurgical procedure - placement of thoracic pedicle screws. OBJECTIVE: To evaluate the learning retention of thoracic pedicle screw placement on a high-performance augmented reality and haptic technology workstation. METHODS: Fifty-one fellows and residents performed thoracic pedicle screw placement on the simulator. The virtual screws were drilled into a virtual patient's thoracic spine derived from a computed tomography data set of a real patient. RESULTS: With a 12.5% failure rate, a 2-proportion ztest yielded P=.08. For performance accuracy, an aggregate Euclidean distance deviation from entry landmark on the pedicle and a similar deviation from the target landmark in the vertebral body yielded P = .04 from a 2-sample t test in which the rejected null hypothesis assumes no improvement in performance accuracy from the practice to the test sessions, and the alternative hypothesis assumes an improvement. CONCLUSION: The performance accuracy on the simulator was comparable to the accuracy reported in literature on recent retrospective evaluation of such placements. The failure rates indicated a minor drop from practice to test sessions, and also indicated a trend (P = .08) toward learning retention resulting in improvement from practice to test sessions. The performance accuracy showed a 15% mean score improvement and more than a 50% reduction in standard deviation from practice to test. It showed evidence (P = .04) of performance accuracy improvement from practice to test session.
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback</title>
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<author><name sortKey="Charbel, Fady T" sort="Charbel, Fady T" uniqKey="Charbel F" first="Fady T." last="Charbel">Fady T. Charbel</name>
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<series><title level="j" type="main">Neurosurgery</title>
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<seriesStmt><title level="j" type="main">Neurosurgery</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Augmented reality</term>
<term>Feedback</term>
<term>High resolution</term>
<term>Learning</term>
<term>Nervous system diseases</term>
<term>Screw</term>
<term>Simulation</term>
<term>Simulator</term>
<term>Surgery</term>
<term>Virtual reality</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Pathologie du système nerveux</term>
<term>Apprentissage</term>
<term>Vis</term>
<term>Haute résolution</term>
<term>Réalité augmentée</term>
<term>Simulateur</term>
<term>Boucle réaction</term>
<term>Chirurgie</term>
<term>Simulation</term>
<term>Réalité virtuelle</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Chirurgie</term>
<term>Simulation</term>
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<front><div type="abstract" xml:lang="en">BACKGROUND: We evaluated the use of a part-task simulator with 3D and haptic feedback as a training tool for a common neurosurgical procedure - placement of thoracic pedicle screws. OBJECTIVE: To evaluate the learning retention of thoracic pedicle screw placement on a high-performance augmented reality and haptic technology workstation. METHODS: Fifty-one fellows and residents performed thoracic pedicle screw placement on the simulator. The virtual screws were drilled into a virtual patient's thoracic spine derived from a computed tomography data set of a real patient. RESULTS: With a 12.5% failure rate, a 2-proportion ztest yielded P=.08. For performance accuracy, an aggregate Euclidean distance deviation from entry landmark on the pedicle and a similar deviation from the target landmark in the vertebral body yielded P = .04 from a 2-sample t test in which the rejected null hypothesis assumes no improvement in performance accuracy from the practice to the test sessions, and the alternative hypothesis assumes an improvement. CONCLUSION: The performance accuracy on the simulator was comparable to the accuracy reported in literature on recent retrospective evaluation of such placements. The failure rates indicated a minor drop from practice to test sessions, and also indicated a trend (P = .08) toward learning retention resulting in improvement from practice to test sessions. The performance accuracy showed a 15% mean score improvement and more than a 50% reduction in standard deviation from practice to test. It showed evidence (P = .04) of performance accuracy improvement from practice to test session.</div>
</front>
</TEI>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Arizona</li>
<li>Illinois</li>
<li>Pennsylvanie</li>
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<tree><country name="États-Unis"><region name="Illinois"><name sortKey="Luciano, Cristian J" sort="Luciano, Cristian J" uniqKey="Luciano C" first="Cristian J." last="Luciano">Cristian J. Luciano</name>
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<name sortKey="Banerjee, P Pat" sort="Banerjee, P Pat" uniqKey="Banerjee P" first="P. Pat" last="Banerjee">P. Pat Banerjee</name>
<name sortKey="Banerjee, P Pat" sort="Banerjee, P Pat" uniqKey="Banerjee P" first="P. Pat" last="Banerjee">P. Pat Banerjee</name>
<name sortKey="Banerjee, P Pat" sort="Banerjee, P Pat" uniqKey="Banerjee P" first="P. Pat" last="Banerjee">P. Pat Banerjee</name>
<name sortKey="Bellotte, Brad" sort="Bellotte, Brad" uniqKey="Bellotte B" first="Brad" last="Bellotte">Brad Bellotte</name>
<name sortKey="Charbel, Fady T" sort="Charbel, Fady T" uniqKey="Charbel F" first="Fady T." last="Charbel">Fady T. Charbel</name>
<name sortKey="Lemole, Michael Jr" sort="Lemole, Michael Jr" uniqKey="Lemole M" first="Michael Jr" last="Lemole">Michael Jr Lemole</name>
<name sortKey="Luciano, Cristian J" sort="Luciano, Cristian J" uniqKey="Luciano C" first="Cristian J." last="Luciano">Cristian J. Luciano</name>
<name sortKey="Michael, G" sort="Michael, G" uniqKey="Michael G" first="G." last="Michael">G. Michael</name>
<name sortKey="Roitberg, Ben" sort="Roitberg, Ben" uniqKey="Roitberg B" first="Ben" last="Roitberg">Ben Roitberg</name>
</country>
</tree>
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</record>
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