Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback
Identifieur interne : 000458 ( PascalFrancis/Corpus ); précédent : 000457; suivant : 000459Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback
Auteurs : Cristian J. Luciano ; P. Pat Banerjee ; Brad Bellotte ; G. Michael ; Michael Jr Lemole ; Fady T. Charbel ; Ben RoitbergSource :
- Neurosurgery [ 0148-396X ] ; 2011.
Descripteurs français
- Pascal (Inist)
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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Format Inist (serveur)
NO : | PASCAL 11-0381804 INIST |
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ET : | Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback |
AU : | LUCIANO (Cristian J.); BANERJEE (P. Pat); BELLOTTE (Brad); MICHAEL (G.); LEMOLE (Michael JR); CHARBEL (Fady T.); ROITBERG (Ben) |
AF : | Department of Mechanical and Industrial Engineering, College of Engineering, University of Illinois at Chicago/Chicago, Illinois/Etats-Unis (1 aut., 2 aut.); Department of Computer Science, College of Engineering, University of Illinois at Chicago/Chicago, Illinois/Etats-Unis (1 aut., 2 aut.); Department of Bioengineering, College of Engineering, University of Illinois at Chicago/Chicago, Illinois/Etats-Unis (2 aut.); Department of Neurosurgery, Allegheny General Hospital/Pittsburgh, Pennsylvania/Etats-Unis (3 aut., 4 aut.); Division of Neurosurgery, University of Arizona/Tucson, Arizona/Etats-Unis (5 aut.); Department of Neurosurgery, University of Illinois at Chicago/Chicago, Illinois/Etats-Unis (6 aut.); Division of Neurosurgery, University of Chicago/Chicago, Illinois/Etats-Unis (7 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Neurosurgery; ISSN 0148-396X; Coden NRSRDY; Etats-Unis; Da. 2011; Vol. 69; No. 3 SUP; Pp. 14-19; Bibl. 3 ref. |
LA : | Anglais |
EA : | 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. |
CC : | 002B25J |
FD : | Pathologie du système nerveux; Apprentissage; Vis; Haute résolution; Réalité augmentée; Simulateur; Boucle réaction; Chirurgie; Simulation; Réalité virtuelle |
ED : | Nervous system diseases; Learning; Screw; High resolution; Augmented reality; Simulator; Feedback; Surgery; Simulation; Virtual reality |
SD : | Sistema nervioso patología; Aprendizaje; Tornillo; Alta resolucion; Realidad aumentada; Simulador; Retroalimentación; Cirugía; Simulación; Realidad virtual |
LO : | INIST-18396.354000500133000030 |
ID : | 11-0381804 |
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Pascal:11-0381804Le document en format XML
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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>
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<server><NO>PASCAL 11-0381804 INIST</NO>
<ET>Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback</ET>
<AU>LUCIANO (Cristian J.); BANERJEE (P. Pat); BELLOTTE (Brad); MICHAEL (G.); LEMOLE (Michael JR); CHARBEL (Fady T.); ROITBERG (Ben)</AU>
<AF>Department of Mechanical and Industrial Engineering, College of Engineering, University of Illinois at Chicago/Chicago, Illinois/Etats-Unis (1 aut., 2 aut.); Department of Computer Science, College of Engineering, University of Illinois at Chicago/Chicago, Illinois/Etats-Unis (1 aut., 2 aut.); Department of Bioengineering, College of Engineering, University of Illinois at Chicago/Chicago, Illinois/Etats-Unis (2 aut.); Department of Neurosurgery, Allegheny General Hospital/Pittsburgh, Pennsylvania/Etats-Unis (3 aut., 4 aut.); Division of Neurosurgery, University of Arizona/Tucson, Arizona/Etats-Unis (5 aut.); Department of Neurosurgery, University of Illinois at Chicago/Chicago, Illinois/Etats-Unis (6 aut.); Division of Neurosurgery, University of Chicago/Chicago, Illinois/Etats-Unis (7 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Neurosurgery; ISSN 0148-396X; Coden NRSRDY; Etats-Unis; Da. 2011; Vol. 69; No. 3 SUP; Pp. 14-19; Bibl. 3 ref.</SO>
<LA>Anglais</LA>
<EA>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.</EA>
<CC>002B25J</CC>
<FD>Pathologie du système nerveux; Apprentissage; Vis; Haute résolution; Réalité augmentée; Simulateur; Boucle réaction; Chirurgie; Simulation; Réalité virtuelle</FD>
<ED>Nervous system diseases; Learning; Screw; High resolution; Augmented reality; Simulator; Feedback; Surgery; Simulation; Virtual reality</ED>
<SD>Sistema nervioso patología; Aprendizaje; Tornillo; Alta resolucion; Realidad aumentada; Simulador; Retroalimentación; Cirugía; Simulación; Realidad virtual</SD>
<LO>INIST-18396.354000500133000030</LO>
<ID>11-0381804</ID>
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