Meaningful assessment method for laparoscopic suturing training in augmented reality
Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a n...
Ausführliche Beschreibung
Autor*in: |
Botden, Sanne M. B. I. [verfasserIn] de Hingh, I. H. J. T. [verfasserIn] Jakimowicz, J. J. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2009 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Surgical endoscopy and other interventional techniques - New York, NY : Springer, 1987, 23(2009), 10 vom: 01. Jan. |
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Übergeordnetes Werk: |
volume:23 ; year:2009 ; number:10 ; day:01 ; month:01 |
Links: |
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DOI / URN: |
10.1007/s00464-008-0276-3 |
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Katalog-ID: |
SPR006273939 |
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245 | 1 | 0 | |a Meaningful assessment method for laparoscopic suturing training in augmented reality |
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520 | |a Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. | ||
650 | 4 | |a Augmented reality |7 (dpeaa)DE-He213 | |
650 | 4 | |a Simulation |7 (dpeaa)DE-He213 | |
650 | 4 | |a Training |7 (dpeaa)DE-He213 | |
650 | 4 | |a Laparoscopic suturing |7 (dpeaa)DE-He213 | |
700 | 1 | |a de Hingh, I. H. J. T. |e verfasserin |4 aut | |
700 | 1 | |a Jakimowicz, J. J. |e verfasserin |4 aut | |
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10.1007/s00464-008-0276-3 doi (DE-627)SPR006273939 (SPR)s00464-008-0276-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Botden, Sanne M. B. I. verfasserin aut Meaningful assessment method for laparoscopic suturing training in augmented reality 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. Augmented reality (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Training (dpeaa)DE-He213 Laparoscopic suturing (dpeaa)DE-He213 de Hingh, I. H. J. T. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 23(2009), 10 vom: 01. Jan. (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:23 year:2009 number:10 day:01 month:01 https://dx.doi.org/10.1007/s00464-008-0276-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 23 2009 10 01 01 |
spelling |
10.1007/s00464-008-0276-3 doi (DE-627)SPR006273939 (SPR)s00464-008-0276-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Botden, Sanne M. B. I. verfasserin aut Meaningful assessment method for laparoscopic suturing training in augmented reality 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. Augmented reality (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Training (dpeaa)DE-He213 Laparoscopic suturing (dpeaa)DE-He213 de Hingh, I. H. J. T. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 23(2009), 10 vom: 01. Jan. (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:23 year:2009 number:10 day:01 month:01 https://dx.doi.org/10.1007/s00464-008-0276-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 23 2009 10 01 01 |
allfields_unstemmed |
10.1007/s00464-008-0276-3 doi (DE-627)SPR006273939 (SPR)s00464-008-0276-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Botden, Sanne M. B. I. verfasserin aut Meaningful assessment method for laparoscopic suturing training in augmented reality 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. Augmented reality (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Training (dpeaa)DE-He213 Laparoscopic suturing (dpeaa)DE-He213 de Hingh, I. H. J. T. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 23(2009), 10 vom: 01. Jan. (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:23 year:2009 number:10 day:01 month:01 https://dx.doi.org/10.1007/s00464-008-0276-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 23 2009 10 01 01 |
allfieldsGer |
10.1007/s00464-008-0276-3 doi (DE-627)SPR006273939 (SPR)s00464-008-0276-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Botden, Sanne M. B. I. verfasserin aut Meaningful assessment method for laparoscopic suturing training in augmented reality 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. Augmented reality (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Training (dpeaa)DE-He213 Laparoscopic suturing (dpeaa)DE-He213 de Hingh, I. H. J. T. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 23(2009), 10 vom: 01. Jan. (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:23 year:2009 number:10 day:01 month:01 https://dx.doi.org/10.1007/s00464-008-0276-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 23 2009 10 01 01 |
allfieldsSound |
10.1007/s00464-008-0276-3 doi (DE-627)SPR006273939 (SPR)s00464-008-0276-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Botden, Sanne M. B. I. verfasserin aut Meaningful assessment method for laparoscopic suturing training in augmented reality 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. Augmented reality (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Training (dpeaa)DE-He213 Laparoscopic suturing (dpeaa)DE-He213 de Hingh, I. H. J. T. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 23(2009), 10 vom: 01. Jan. (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:23 year:2009 number:10 day:01 month:01 https://dx.doi.org/10.1007/s00464-008-0276-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 23 2009 10 01 01 |
language |
English |
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Enthalten in Surgical endoscopy and other interventional techniques 23(2009), 10 vom: 01. Jan. volume:23 year:2009 number:10 day:01 month:01 |
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Enthalten in Surgical endoscopy and other interventional techniques 23(2009), 10 vom: 01. Jan. volume:23 year:2009 number:10 day:01 month:01 |
format_phy_str_mv |
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topic_facet |
Augmented reality Simulation Training Laparoscopic suturing |
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Surgical endoscopy and other interventional techniques |
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Botden, Sanne M. B. I. @@aut@@ de Hingh, I. H. J. T. @@aut@@ Jakimowicz, J. J. @@aut@@ |
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B. I.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Meaningful assessment method for laparoscopic suturing training in augmented reality</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2009</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. 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Botden, Sanne M. B. I. |
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Botden, Sanne M. B. I. ddc 610 bkl 44.87 misc Augmented reality misc Simulation misc Training misc Laparoscopic suturing Meaningful assessment method for laparoscopic suturing training in augmented reality |
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610 ASE 44.87 bkl Meaningful assessment method for laparoscopic suturing training in augmented reality Augmented reality (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Training (dpeaa)DE-He213 Laparoscopic suturing (dpeaa)DE-He213 |
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ddc 610 bkl 44.87 misc Augmented reality misc Simulation misc Training misc Laparoscopic suturing |
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ddc 610 bkl 44.87 misc Augmented reality misc Simulation misc Training misc Laparoscopic suturing |
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Meaningful assessment method for laparoscopic suturing training in augmented reality |
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Surgical endoscopy and other interventional techniques |
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meaningful assessment method for laparoscopic suturing training in augmented reality |
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Meaningful assessment method for laparoscopic suturing training in augmented reality |
abstract |
Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. |
abstractGer |
Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. |
abstract_unstemmed |
Background To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing on the ProMIS augmented reality simulator, and compares it with scores of objective observers. Methods Twenty-four participants practised their suturing skills on the augmented reality suturing module: experienced participants (n = 10), >50 clinical laparoscopic suturing experience; and novice participants (n = 14), without laparoscopic experience. The performances were recorded and assessed by two unrelated observers and compared with the assessment scores. The assessment score was a calculation of time spent in the correct area and quality (strength) of the knot. To test the accuracy of the individual assessment parameters, we compared these with each other. Results The experienced participants had significantly higher performance scores than the novice participants in the beginner-level mode (mean 95.73 vs. 60.89, standard deviation 2.63 vs. 17.09, p < 0.001, independent t-test). The performance scores of the assessment method (n = 43) correlated significantly with the scorings of the objective observers (Spearman’s rho 0.672; p < 0.001). The parameter time spent in correct area had a calculated significant correlation with the strength of the knot (n = 229, Spearman’s rho 0.257, p < 0.001), but this was clinically irrelevant. Conclusion This assessment method is a valid tool for objectively assessing laparoscopic suturing skills. Although assessment parameters can correlate, to provide informative feedback it is important to combine meaningful measurements in the assessment of suturing skills. |
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container_issue |
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title_short |
Meaningful assessment method for laparoscopic suturing training in augmented reality |
url |
https://dx.doi.org/10.1007/s00464-008-0276-3 |
remote_bool |
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author2 |
de Hingh, I. H. J. T. Jakimowicz, J. J. |
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de Hingh, I. H. J. T. Jakimowicz, J. J. |
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doi_str |
10.1007/s00464-008-0276-3 |
up_date |
2024-07-03T21:57:13.455Z |
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score |
7.4009247 |