Suturing training in Augmented Reality: gaining proficiency in suturing skills faster
Identifieur interne : 000F89 ( Ncbi/Curation ); précédent : 000F88; suivant : 000F90Suturing training in Augmented Reality: gaining proficiency in suturing skills faster
Auteurs : S. M. B. I. Botden [Pays-Bas] ; I. H. J. T. De Hingh [Pays-Bas] ; J. J. Jakimowicz [Pays-Bas]Source :
- Surgical Endoscopy [ 0930-2794 ] ; 2008.
English descriptors
- KwdEn :
- Computer Simulation, Computer-Assisted Instruction (instrumentation), Computer-Assisted Instruction (methods), Education, Medical, Undergraduate, Educational Measurement, Feedback, Sensory, Goals, Humans, Internship and Residency, Laparoscopy (methods), Learning, Manikins, Motivation, Physicians (psychology), Psychomotor Performance, Students, Medical (psychology), Suture Techniques (education), User-Computer Interface.
- MESH :
- education : Suture Techniques.
- instrumentation : Computer-Assisted Instruction.
- methods : Computer-Assisted Instruction, Laparoscopy.
- psychology : Physicians, Students, Medical.
- Computer Simulation, Education, Medical, Undergraduate, Educational Measurement, Feedback, Sensory, Goals, Humans, Internship and Residency, Learning, Manikins, Motivation, Psychomotor Performance, User-Computer Interface.
Abstract
Providing informative feedback and setting goals tends to motivate trainees to practice more extensively. Augmented Reality simulators retain the benefit of realistic haptic feedback and additionally generate objective assessment and informative feedback during the training. This study researched the performance curve of the adapted suturing module on the ProMIS Augmented Reality simulator.
Eighteen novice participants were pretrained on the MIST-VR to become acquainted with laparoscopy. Subsequently, they practiced 16 knots on the suturing module, of which the assessment scores were recorded to evaluate the gain in laparoscopic suturing skills. The scoring of the assessment method was calculated from the “time spent in the correct area” during the knot tying and the quality of the knot. Both the baseline knot and the knot at the top of the performance curve were assessed by two independent objective observers, by means of a standardized evaluation form, to objectify the gain in suturing skills.
There was a statistically significant difference between the scores of the second knot (mean 72.59, standard deviation (SD) 16.28) and the top of the performance curve (mean 95.82, SD 3.05;
This adapted suturing module on the ProMIS Augmented Reality laparoscopic simulator is a potent tool for gaining laparoscopic suturing skills.
Url:
DOI: 10.1007/s00464-008-0240-2
PubMed: 19067051
PubMed Central: 2730450
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De Hingh</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven</wicri:regionArea><wicri:noRegion>5623 EJ Eindhoven</wicri:noRegion></affiliation></author><author><name sortKey="Jakimowicz, J J" sort="Jakimowicz, J J" uniqKey="Jakimowicz J" first="J. J." last="Jakimowicz">J. J. 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M. B. I." last="Botden">S. M. B. I. Botden</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven</wicri:regionArea><wicri:noRegion>5623 EJ Eindhoven</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff2">Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Faculty of Industrial Design Engineering, Delft University of Technology, Delft</wicri:regionArea><wicri:noRegion>Delft</wicri:noRegion></affiliation></author><author><name sortKey="De Hingh, I H J T" sort="De Hingh, I H J T" uniqKey="De Hingh I" first="I. H. J. T." last="De Hingh">I. H. J. T. De Hingh</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven</wicri:regionArea><wicri:noRegion>5623 EJ Eindhoven</wicri:noRegion></affiliation></author><author><name sortKey="Jakimowicz, J J" sort="Jakimowicz, J J" uniqKey="Jakimowicz J" first="J. J." last="Jakimowicz">J. J. Jakimowicz</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven</wicri:regionArea><wicri:noRegion>5623 EJ Eindhoven</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff2">Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Faculty of Industrial Design Engineering, Delft University of Technology, Delft</wicri:regionArea><wicri:noRegion>Delft</wicri:noRegion></affiliation></author></analytic><series><title level="j">Surgical Endoscopy</title><idno type="ISSN">0930-2794</idno><idno type="eISSN">1432-2218</idno><imprint><date when="2008">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computer Simulation</term><term>Computer-Assisted Instruction (instrumentation)</term><term>Computer-Assisted Instruction (methods)</term><term>Education, Medical, Undergraduate</term><term>Educational Measurement</term><term>Feedback, Sensory</term><term>Goals</term><term>Humans</term><term>Internship and Residency</term><term>Laparoscopy (methods)</term><term>Learning</term><term>Manikins</term><term>Motivation</term><term>Physicians (psychology)</term><term>Psychomotor Performance</term><term>Students, Medical (psychology)</term><term>Suture Techniques (education)</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" qualifier="education" xml:lang="en"><term>Suture Techniques</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Computer-Assisted Instruction</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computer-Assisted Instruction</term><term>Laparoscopy</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Physicians</term><term>Students, Medical</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Computer Simulation</term><term>Education, Medical, Undergraduate</term><term>Educational Measurement</term><term>Feedback, Sensory</term><term>Goals</term><term>Humans</term><term>Internship and Residency</term><term>Learning</term><term>Manikins</term><term>Motivation</term><term>Psychomotor Performance</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Providing informative feedback and setting goals tends to motivate trainees to practice more extensively. Augmented Reality simulators retain the benefit of realistic haptic feedback and additionally generate objective assessment and informative feedback during the training. This study researched the performance curve of the adapted suturing module on the ProMIS Augmented Reality simulator.</p></sec><sec><title>Methods</title><p>Eighteen novice participants were pretrained on the MIST-VR to become acquainted with laparoscopy. Subsequently, they practiced 16 knots on the suturing module, of which the assessment scores were recorded to evaluate the gain in laparoscopic suturing skills. The scoring of the assessment method was calculated from the “time spent in the correct area” during the knot tying and the quality of the knot. Both the baseline knot and the knot at the top of the performance curve were assessed by two independent objective observers, by means of a standardized evaluation form, to objectify the gain in suturing skills.</p></sec><sec><title>Results</title><p>There was a statistically significant difference between the scores of the second knot (mean 72.59, standard deviation (SD) 16.28) and the top of the performance curve (mean 95.82, SD 3.05; <italic>p</italic> < 0.001, paired t-test). The scoring of the objective observers also differed significantly (mean 11.83 and 22.11, respectively; SD 3.37 and 3.89, respectively; <italic>p</italic> < 0.001) (interobserver reliability Cronbach’s alpha = 0.96). The median amount of repetitions to reach the top of the performance curve was eight, which also showed significant differences between both the assessment score (mean 88.14, SD 13.53, <italic>p</italic> < 0.001) and scoring of the objective observers of the second knot (mean 20.51, SD 4.14; <italic>p</italic> < 0.001).</p></sec><sec><title>Conclusions</title><p>This adapted suturing module on the ProMIS Augmented Reality laparoscopic simulator is a potent tool for gaining laparoscopic suturing skills.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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