Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback
Identifieur interne : 003329 ( Main/Exploration ); précédent : 003328; suivant : 003330Learning 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 :
- Augmented reality, Bone Screws, Computer Simulation, Education, Medical, Graduate (methods), Feedback, High resolution, Humans, Learning, Nervous system diseases, Neurosurgery (education), Retention (Psychology), Screw, Simulation, Simulator, Spinal Fusion (methods), Surgery, Thoracic Vertebrae (surgery), User-Computer Interface, Virtual reality.
- MESH :
- education : Neurosurgery.
- methods : Education, Medical, Graduate, Spinal Fusion.
- surgery : Thoracic Vertebrae.
- Bone Screws, Computer Simulation, Humans, Learning, Retention (Psychology), User-Computer Interface.
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.
Url:
Affiliations:
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Le document en format XML
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<term>Bone Screws</term>
<term>Computer Simulation</term>
<term>Education, Medical, Graduate (methods)</term>
<term>Feedback</term>
<term>High resolution</term>
<term>Humans</term>
<term>Learning</term>
<term>Nervous system diseases</term>
<term>Neurosurgery (education)</term>
<term>Retention (Psychology)</term>
<term>Screw</term>
<term>Simulation</term>
<term>Simulator</term>
<term>Spinal Fusion (methods)</term>
<term>Surgery</term>
<term>Thoracic Vertebrae (surgery)</term>
<term>User-Computer Interface</term>
<term>Virtual reality</term>
</keywords>
<keywords scheme="MESH" qualifier="education" xml:lang="en"><term>Neurosurgery</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Education, Medical, Graduate</term>
<term>Spinal Fusion</term>
</keywords>
<keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Thoracic Vertebrae</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Bone Screws</term>
<term>Computer Simulation</term>
<term>Humans</term>
<term>Learning</term>
<term>Retention (Psychology)</term>
<term>User-Computer Interface</term>
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<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>
<term>Réalité virtuelle</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>
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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>
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