Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon

IntroductionTraining and assessment outside of the operating room is crucial for minimally invasive surgery due to steep learning curves. Thus, we have developed and validated the sensor- and expert model-based laparoscopic training system, the iSurgeon.MaterialsParticipants of different experience...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kowalewski, Karl-Friedrich (VerfasserIn) , Hendrie, Jonathan D. (VerfasserIn) , Schmidt, Mona Wanda (VerfasserIn) , Garrow, Carly R. (VerfasserIn) , Bruckner, Thomas (VerfasserIn) , Proctor, Tanja (VerfasserIn) , Paul, Sai (VerfasserIn) , Kenngott, Hannes Götz (VerfasserIn) , Müller, Beat P. (VerfasserIn) , Nickel, Felix (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: May 2017
In: Surgical endoscopy and other interventional techniques
Year: 2017, Jahrgang: 31, Heft: 5, Pages: 2155-2165
ISSN:1432-2218
DOI:10.1007/s00464-016-5213-2
Online-Zugang:Verlag, Volltext: http://dx.doi.org/10.1007/s00464-016-5213-2
Verlag, Volltext: https://doi.org/10.1007/s00464-016-5213-2
Volltext
Verfasserangaben:Karl-Friedrich Kowalewski, Jonathan D. Hendrie, Mona W. Schmidt, Carly R. Garrow, Thomas Bruckner, Tanja Proctor, Sai Paul, Davud Adigüzel, Sebastian Bodenstedt, Andreas Erben, Hannes Kenngott, Young Erben, Stefanie Speidel, Beat P. Müller-Stich, Felix Nickel

MARC

LEADER 00000caa a22000002c 4500
001 1582538875
003 DE-627
005 20220815045002.0
007 cr uuu---uuuuu
008 181105s2017 xx |||||o 00| ||eng c
024 7 |a 10.1007/s00464-016-5213-2  |2 doi 
035 |a (DE-627)1582538875 
035 |a (DE-576)512538875 
035 |a (DE-599)BSZ512538875 
035 |a (OCoLC)1341022217 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 33  |2 sdnb 
100 1 |a Kowalewski, Karl-Friedrich  |d 1989-  |e VerfasserIn  |0 (DE-588)1100724192  |0 (DE-627)859518825  |0 (DE-576)469770740  |4 aut 
245 1 0 |a Development and validation of a sensor- and expert model-based training system for laparoscopic surgery  |b the iSurgeon  |c Karl-Friedrich Kowalewski, Jonathan D. Hendrie, Mona W. Schmidt, Carly R. Garrow, Thomas Bruckner, Tanja Proctor, Sai Paul, Davud Adigüzel, Sebastian Bodenstedt, Andreas Erben, Hannes Kenngott, Young Erben, Stefanie Speidel, Beat P. Müller-Stich, Felix Nickel 
264 1 |c May 2017 
300 |a 11 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Gesehen am 05.11.2018 
500 |a Published online: 7 September 2016 
520 |a IntroductionTraining and assessment outside of the operating room is crucial for minimally invasive surgery due to steep learning curves. Thus, we have developed and validated the sensor- and expert model-based laparoscopic training system, the iSurgeon.MaterialsParticipants of different experience levels (novice, intermediate, expert) performed four standardized laparoscopic knots. Instruments and surgeons’ joint motions were tracked with an NDI Polaris camera and Microsoft Kinect v1. With frame-by-frame image analysis, the key steps of suturing and knot tying were identified and registered with motion data. Construct validity, concurrent validity, and test-retest reliability were analyzed. The Objective Structured Assessment of Technical Skills (OSATS) was used as the gold standard for concurrent validity.ResultsThe system showed construct validity by discrimination between experience levels by parameters such as time (novice = 442.9 ± 238.5 s; intermediate = 190.1 ± 50.3 s; expert = 115.1 ± 29.1 s; p < 0.001), total path length (novice = 18,817 ± 10318 mm; intermediate = 9995 ± 3286 mm; expert = 7265 ± 2232 mm; p < 0.001), average speed (novice = 42.9 ± 8.3 mm/s; intermediate = 52.7 ± 11.2 mm/s; expert = 63.6 ± 12.9 mm/s; p < 0.001), angular path (novice = 20,573 ± 12,611°; intermediate = 8652 ± 2692°; expert = 5654 ± 1746°; p < 0.001), number of movements (novice = 2197 ± 1405; intermediate = 987 ± 367; expert = 743 ± 238; p < 0.001), number of movements per second (novice = 5.0 ± 1.4; intermediate = 5.2 ± 1.5; expert = 6.6 ± 1.6; p = 0.025), and joint angle range (for different axes and joints all p < 0.001). Concurrent validity of OSATS and iSurgeon parameters was established. Test-retest reliability was given for 7 out of 8 parameters. The key steps “wrapping the thread around the instrument” and “needle positioning” were most difficult to learn.ConclusionValidity and reliability of the self-developed sensor-and expert model-based laparoscopic training system “iSurgeon” were established. Using multiple parameters proved more reliable than single metric parameters. Wrapping of the needle around the thread and needle positioning were identified as difficult key steps for laparoscopic suturing and knot tying. The iSurgeon could generate automated real-time feedback based on expert models which may result in shorter learning curves for laparoscopic tasks. Our next steps will be the implementation and evaluation of full procedural training in an experimental model. 
650 4 |a Assessment 
650 4 |a Computer-assisted surgery 
650 4 |a Education 
650 4 |a Kinect 
650 4 |a Laparoscopic suturing and knot tying 
650 4 |a Minimally invasive surgery 
700 1 |a Hendrie, Jonathan D.  |e VerfasserIn  |0 (DE-588)1100723668  |0 (DE-627)859517721  |0 (DE-576)469769904  |4 aut 
700 1 |a Schmidt, Mona Wanda  |d 1994-  |e VerfasserIn  |0 (DE-588)1128102269  |0 (DE-627)882387626  |0 (DE-576)485693429  |4 aut 
700 1 |a Garrow, Carly R.  |e VerfasserIn  |0 (DE-588)1100724990  |0 (DE-627)859520196  |0 (DE-576)469771925  |4 aut 
700 1 |a Bruckner, Thomas  |d 1956-  |e VerfasserIn  |0 (DE-588)136046215  |0 (DE-627)574429298  |0 (DE-576)300798768  |4 aut 
700 1 |a Proctor, Tanja  |d 1988-  |e VerfasserIn  |0 (DE-588)1149280425  |0 (DE-627)100959799X  |0 (DE-576)496622102  |4 aut 
700 1 |a Paul, Sai  |e VerfasserIn  |0 (DE-588)1170600077  |0 (DE-627)1039790623  |0 (DE-576)512538166  |4 aut 
700 1 |a Kenngott, Hannes Götz  |d 1979-  |e VerfasserIn  |0 (DE-588)141469994  |0 (DE-627)62780117X  |0 (DE-576)324023065  |4 aut 
700 1 |a Müller, Beat P.  |d 1971-  |e VerfasserIn  |0 (DE-588)14066209X  |0 (DE-627)70374819X  |0 (DE-576)317992287  |4 aut 
700 1 |a Nickel, Felix  |d 1982-  |e VerfasserIn  |0 (DE-588)1067980059  |0 (DE-627)819414875  |0 (DE-576)427122619  |4 aut 
773 0 8 |i Enthalten in  |t Surgical endoscopy and other interventional techniques  |d New York : Springer-Verlag, 2002  |g 31(2017), 5, Seite 2155-2165  |h Online-Ressource  |w (DE-627)254909620  |w (DE-600)1463171-4  |w (DE-576)074754106  |x 1432-2218  |7 nnas  |a Development and validation of a sensor- and expert model-based training system for laparoscopic surgery the iSurgeon 
773 1 8 |g volume:31  |g year:2017  |g number:5  |g pages:2155-2165  |g extent:11  |a Development and validation of a sensor- and expert model-based training system for laparoscopic surgery the iSurgeon 
856 4 0 |u http://dx.doi.org/10.1007/s00464-016-5213-2  |x Verlag  |x Resolving-System  |3 Volltext 
856 4 0 |u https://doi.org/10.1007/s00464-016-5213-2  |x Verlag  |3 Volltext 
951 |a AR 
992 |a 20181105 
993 |a Article 
994 |a 2017 
998 |g 1067980059  |a Nickel, Felix  |m 1067980059:Nickel, Felix  |d 910000  |d 910200  |e 910000PN1067980059  |e 910200PN1067980059  |k 0/910000/  |k 1/910000/910200/  |p 15  |y j 
998 |g 14066209X  |a Müller, Beat P.  |m 14066209X:Müller, Beat P.  |d 910000  |d 910200  |d 50000  |e 910000PM14066209X  |e 910200PM14066209X  |e 50000PM14066209X  |k 0/910000/  |k 1/910000/910200/  |k 0/50000/  |p 14 
998 |g 141469994  |a Kenngott, Hannes Götz  |m 141469994:Kenngott, Hannes Götz  |d 910000  |d 910200  |e 910000PK141469994  |e 910200PK141469994  |k 0/910000/  |k 1/910000/910200/  |p 11 
998 |g 1170600077  |a Paul, Sai  |m 1170600077:Paul, Sai  |d 910000  |d 910200  |e 910000PP1170600077  |e 910200PP1170600077  |k 0/910000/  |k 1/910000/910200/  |p 7 
998 |g 1149280425  |a Proctor, Tanja  |m 1149280425:Proctor, Tanja  |d 910000  |d 999701  |e 910000PP1149280425  |e 999701PP1149280425  |k 0/910000/  |k 1/910000/999701/  |p 6 
998 |g 136046215  |a Bruckner, Thomas  |m 136046215:Bruckner, Thomas  |d 910000  |d 999701  |e 910000PB136046215  |e 999701PB136046215  |k 0/910000/  |k 1/910000/999701/  |p 5 
998 |g 1100724990  |a Garrow, Carly R.  |m 1100724990:Garrow, Carly R.  |d 910000  |d 910200  |e 910000PG1100724990  |e 910200PG1100724990  |k 0/910000/  |k 1/910000/910200/  |p 4 
998 |g 1128102269  |a Schmidt, Mona Wanda  |m 1128102269:Schmidt, Mona Wanda  |d 50000  |e 50000PS1128102269  |k 0/50000/  |p 3 
998 |g 1100723668  |a Hendrie, Jonathan D.  |m 1100723668:Hendrie, Jonathan D.  |d 910000  |d 910200  |e 910000PH1100723668  |e 910200PH1100723668  |k 0/910000/  |k 1/910000/910200/  |p 2 
998 |g 1100724192  |a Kowalewski, Karl-Friedrich  |m 1100724192:Kowalewski, Karl-Friedrich  |d 910000  |d 910200  |e 910000PK1100724192  |e 910200PK1100724192  |k 0/910000/  |k 1/910000/910200/  |p 1  |x j 
999 |a KXP-PPN1582538875  |e 3030283917 
BIB |a Y 
SER |a journal 
JSO |a {"title":[{"title_sort":"Development and validation of a sensor- and expert model-based training system for laparoscopic surgery","title":"Development and validation of a sensor- and expert model-based training system for laparoscopic surgery","subtitle":"the iSurgeon"}],"person":[{"role":"aut","family":"Kowalewski","display":"Kowalewski, Karl-Friedrich","given":"Karl-Friedrich"},{"role":"aut","given":"Jonathan D.","display":"Hendrie, Jonathan D.","family":"Hendrie"},{"family":"Schmidt","display":"Schmidt, Mona Wanda","given":"Mona Wanda","role":"aut"},{"role":"aut","given":"Carly R.","family":"Garrow","display":"Garrow, Carly R."},{"family":"Bruckner","display":"Bruckner, Thomas","given":"Thomas","role":"aut"},{"role":"aut","family":"Proctor","display":"Proctor, Tanja","given":"Tanja"},{"display":"Paul, Sai","family":"Paul","given":"Sai","role":"aut"},{"given":"Hannes Götz","family":"Kenngott","display":"Kenngott, Hannes Götz","role":"aut"},{"role":"aut","given":"Beat P.","family":"Müller","display":"Müller, Beat P."},{"display":"Nickel, Felix","family":"Nickel","given":"Felix","role":"aut"}],"physDesc":[{"extent":"11 S."}],"relHost":[{"origin":[{"dateIssuedDisp":"2002-","publisherPlace":"New York","dateIssuedKey":"2002","publisher":"Springer-Verlag"}],"language":["eng"],"id":{"eki":["254909620"],"zdb":["1463171-4"],"issn":["1432-2218"]},"type":{"media":"Online-Ressource","bibl":"periodical"},"part":{"text":"31(2017), 5, Seite 2155-2165","pages":"2155-2165","volume":"31","issue":"5","extent":"11","year":"2017"},"physDesc":[{"extent":"Online-Ressource"}],"title":[{"subtitle":"official journal of the Society of American Gastrointestinal Endoscopic Surgeons (SAGES) and European Association for Endoscopic Surgery (E.A.E.S.)","title":"Surgical endoscopy and other interventional techniques","title_sort":"Surgical endoscopy and other interventional techniques"}],"disp":"Development and validation of a sensor- and expert model-based training system for laparoscopic surgery the iSurgeonSurgical endoscopy and other interventional techniques","note":["Gesehen am 19.06.24"],"pubHistory":["Volume 16, issue 1 (January 2002)-"],"recId":"254909620"}],"origin":[{"dateIssuedKey":"2017","dateIssuedDisp":"May 2017"}],"language":["eng"],"id":{"doi":["10.1007/s00464-016-5213-2"],"eki":["1582538875"]},"type":{"media":"Online-Ressource","bibl":"article-journal"},"name":{"displayForm":["Karl-Friedrich Kowalewski, Jonathan D. Hendrie, Mona W. Schmidt, Carly R. Garrow, Thomas Bruckner, Tanja Proctor, Sai Paul, Davud Adigüzel, Sebastian Bodenstedt, Andreas Erben, Hannes Kenngott, Young Erben, Stefanie Speidel, Beat P. Müller-Stich, Felix Nickel"]},"note":["Gesehen am 05.11.2018","Published online: 7 September 2016"],"recId":"1582538875"} 
SRT |a KOWALEWSKIDEVELOPMEN2017