Suturing training in Augmented Reality: gaining proficiency in suturing skills faster
Identifieur interne : 004843 ( Main/Exploration ); précédent : 004842; suivant : 004844Suturing 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 ] ; 2009.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Simulation, Médecine.
English descriptors
- KwdEn :
Abstract
Background 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. Methods 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. Results 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; p < 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; p < 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, p < 0.001) and scoring of the objective observers of the second knot (mean 20.51, SD 4.14; p < 0.001). Conclusions This adapted suturing module on the ProMIS Augmented Reality laparoscopic simulator is a potent tool for gaining laparoscopic suturing skills.
Affiliations:
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De Hingh</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Surgery, Catharina Hospital, Michelangelolaan 2</s1><s2>5623 EJ Eindhoven</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>5623 EJ Eindhoven</wicri:noRegion></affiliation><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Faculty of Industrial Design Engineering, Delft University of Technology</s1><s2>Delft</s2><s3>NLD</s3><sZ>2 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>Delft</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"><inist:fA14 i1="01"><s1>Department of Surgery, Catharina Hospital, Michelangelolaan 2</s1><s2>5623 EJ Eindhoven</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>5623 EJ Eindhoven</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">09-0434386</idno><date when="2009">2009</date><idno type="stanalyst">PASCAL 09-0434386 INIST</idno><idno type="RBID">Pascal:09-0434386</idno><idno type="wicri:Area/PascalFrancis/Corpus">000739</idno><idno type="wicri:Area/PascalFrancis/Curation">000C94</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000534</idno><idno type="wicri:doubleKey">0930-2794:2009:Botden S:suturing:training:in</idno><idno type="wicri:Area/Main/Merge">004927</idno><idno type="wicri:Area/Main/Curation">004843</idno><idno type="wicri:Area/Main/Exploration">004843</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Suturing training in Augmented Reality: gaining proficiency in suturing skills faster</title><author><name sortKey="Botden, S M B I" sort="Botden, S M B I" uniqKey="Botden S" first="S. M. B. I." last="Botden">S. M. B. I. Botden</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Surgery, Catharina Hospital, Michelangelolaan 2</s1><s2>5623 EJ Eindhoven</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>5623 EJ Eindhoven</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"><inist:fA14 i1="01"><s1>Department of Surgery, Catharina Hospital, Michelangelolaan 2</s1><s2>5623 EJ Eindhoven</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>5623 EJ Eindhoven</wicri:noRegion></affiliation><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Faculty of Industrial Design Engineering, Delft University of Technology</s1><s2>Delft</s2><s3>NLD</s3><sZ>2 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>Delft</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"><inist:fA14 i1="01"><s1>Department of Surgery, Catharina Hospital, Michelangelolaan 2</s1><s2>5623 EJ Eindhoven</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>5623 EJ Eindhoven</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Surgical endoscopy</title><title level="j" type="abbreviated">Surg. endosc.</title><idno type="ISSN">0930-2794</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Surgical endoscopy</title><title level="j" type="abbreviated">Surg. endosc.</title><idno type="ISSN">0930-2794</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Endoscopic surgery</term><term>Endoscopy</term><term>Laparoscopy</term><term>Medicine</term><term>Performance evaluation</term><term>Simulation</term><term>Treatment</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Endoscopie</term><term>Laparoscopie</term><term>Simulation</term><term>Evaluation performance</term><term>Médecine</term><term>Chirurgie endoscopique</term><term>Traitement</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Simulation</term><term>Médecine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Background 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. Methods 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. Results 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; p < 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; p < 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, p < 0.001) and scoring of the objective observers of the second knot (mean 20.51, SD 4.14; p < 0.001). Conclusions This adapted suturing module on the ProMIS Augmented Reality laparoscopic simulator is a potent tool for gaining laparoscopic suturing skills.</div></front></TEI><affiliations><list><country><li>Pays-Bas</li></country></list><tree><country name="Pays-Bas"><noRegion><name sortKey="Botden, S M B I" sort="Botden, S M B I" uniqKey="Botden S" first="S. M. B. I." last="Botden">S. M. B. I. Botden</name></noRegion><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><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><name sortKey="Jakimowicz, J J" sort="Jakimowicz, J J" uniqKey="Jakimowicz J" first="J. J." last="Jakimowicz">J. J. Jakimowicz</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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