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CogInfoCom-Driven Surgical Skill Training and Assessment

Developing a Novel Anatomical Phantom and Performance Assessment Method for Laparoscopic Prostatectomy Training

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Cognitive Infocommunications, Theory and Applications

Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 13))

Abstract

The systematic assessment and development of human learning capabilities is one of the biggest challenges in applied sciences. It can be observed within the medical domain how evidence-based paradigms are gradually gaining space. In this chapter, the development process of a laparoscopic box trainer is introduced. A simulator including a phantom for prostatectomy is described, which feeds into medical staff training and skill assessment. An overview of laparoscopic surgical simulators is provided. Based on the state of the art and our previous experience, a clear need was formulated to develop a partially physical, partially computer-integrated simulator. To gain a better understanding of the cognitive load and physical stress, force measurement was used in the test environment. The force and time data were used to evaluate the performance of the participant. A new assessment method was described, which can be used to point out the weak aspects of surgical technique, and the participants can do this on their own. Computer-integrated assistive technologies for surgical education are believed to rapidly become the gold standard on a global scale.

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References

  1. Aggarwal R, Moorthy K, Darzi A (2004) Laparoscopic skills training and assessment. Br J Surg 91(12):1549–1558. https://doi.org/10.1002/bjs.4816

    Article  Google Scholar 

  2. Akhtar K, Sugand K, Wijendra A, Sarvesvaran M, Sperrin M, Standfield N, Cobb J, Gupte C (2016) The transferability of generic minimally invasive surgical skills: is there crossover of core skills between laparoscopy and arthroscopy? J Surg Educ 73(2):329–338. https://doi.org/10.1016/j.jsurg.2015.10.010

    Article  Google Scholar 

  3. Baranyi P (2012) Definition and synergies of cognitive Infocommunications. Acta Polytech Hung 9(1):67–83

    Google Scholar 

  4. Barcza SM (2016) Surgical skill assessment with robotic technology. PhD thesis, Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics

    Google Scholar 

  5. Bernier GV, Sanchez JE (2016) Surgical simulation: the value of individualization. Soc Am Gastrointest Endosc Surg

    Google Scholar 

  6. Cowan B, Sabri H, Kapralos B, Cristancho S, Moussa F, Dubrowski A (2011) SCETF: serious game surgical cognitive education and training framework. In: 2011 IEEE international games innovation conference (IGIC), pp 130–133. https://doi.org/10.1109/IGIC.2011.6115117

  7. Cruz JA, Reis ST, Frati R, Duarte RJ, Nguyen H, Srougi M, Passerotti CC (2016) Does warm-up training in a virtual reality simulator improve surgical performance? a prospective randomized analysis. J Surg Educ 73(6):974–978. https://doi.org/10.1016/j.jsurg.2016.04.020

  8. Dunkin B, Adrales GL, Apelgren K, Mellinger JD (2007) Surgical simulation: a current review. Surg Endosc 21(3):357–366. https://doi.org/10.1007/s00464-006-9072-0

  9. Duren B, Boxel G (2014) Use your phone to build a simple laparoscopic trainer. J Minim Access Surg 10(4):219–220

    Google Scholar 

  10. Fitzgerald JEF, Caesar BC (2012) The European working time directive: a practical review for surgical trainees. Int J Surg 10(8):399–403. https://doi.org/10.1016/j.ijsu.2012.08.007

  11. Folaranmi SE, Partridge RW, Brennan PM, Hennessey IA (2016) Does a 3d image improve laparoscopic motor skills? J Laparoendosc Adv Surg Tech 26(8):671–673. https://doi.org/10.1089/lap.2016.0208

  12. Friedman Z, Siddiqui N, Katznelson R, Devito I, Bould MD, Naik V (2009) Clinical impact of epidural anesthesia simulation on short- and long-term learning curve: high-versus low-fidelity model training. Reg Anesth Pain Med 34(3):229–232

    Article  Google Scholar 

  13. Gaba DM (2004) The future vision of simulation in health care. Qual Saf Health Care 13(suppl 1):i2–i10. https://doi.org/10.1136/qshc.2004.009878

  14. Hopper AN, Jamison MH, Lewis WG (2007) Learning curves in surgical practice. Postgrad Med J 83(986):777–779

    Article  Google Scholar 

  15. Immenroth M, Bürger T, Brenner J, Nagelschmidt M, Eberspächer H, Troidl H (2007) Mental training in surgical education: a randomized controlled trial. Ann Surg 245(3):385–391. https://doi.org/10.1097/01.sla.0000251575.95171.b3

  16. Issenberg SB, McGaghie WC, Petrusa ER, Lee Gordon D, Scalese RJ (2005) Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Med Teach 27(1):10–28

    Article  Google Scholar 

  17. Jimbo T, Ieiri S, Obata S, Uemura M, Souzaki R, Matsuoka N, Katayama T, Masumoto K, Hashizume M, Taguchi T (2017) A new innovative laparoscopic fundoplication training simulator with a surgical skill validation system. Surg Endosc 31(4):1688–1696. https://doi.org/10.1007/s00464-016-5159-4

  18. Kim HK (2004) Virtual-reality-based laparoscopic surgical training: the role of simulation fidelity in haptic feedback. Comput Aided Surg. DWRMAS 9(5):227–234. https://doi.org/10.3109/10929080500066997

  19. Kirwan WO, Kaar TK, Waldron R (1991) Starting laparoscopic cholecystectomy the pig as a training model 10(4):219–220

    Google Scholar 

  20. Lee M, Savage J, Dias M, Bergersen Ph, Winter M (2015) Box, cable and smartphone: a simple laparoscopic trainer. Clin Teach 12(6):384–388. https://doi.org/10.1111/tct.12380

  21. Li MM, George J (2016) A systematic review of low-cost laparoscopic simulators. Surg Endosc 1–11. https://doi.org/10.1007/s00464-016-4953-3

  22. Nagendran M, Gurusamy KS, Aggarwal R, Loizidou M, Davidson BR (2013) Virtual reality training for surgical trainees in laparoscopic surgery. Cochrane Database Syst Rev (8). https://doi.org/10.1002/14651858.CD006575.pub3

  23. Ritter FE (2002) The learning curve. In: International encyclopedia of the social and behavioral sciences, pp 8602–8605

    Google Scholar 

  24. Romero-Loera S, Cárdenas-Lailson LE, de la Concha-Bermejillo F, Crisanto-Campos BA, Valenzuela-Salazar C, Moreno-Portillo M (2016) Skills comparison using a 2d vs. 3d laparoscopic simulator. Cirugáa y Cirujanos (English edn) 84(1):37–44. https://doi.org/10.1016/j.circen.2015.12.012

  25. Rosser JC, Liu X, Jacobs C, Choi KM, Jalink MB, Ten Cate Hoedemaker HO (2017) Impact of super monkey ball and underground video games on basic and advanced laparoscopic skill training. Surg Endosc 31(4):1544–1549. https://doi.org/10.1007/s00464-016-5059-7

    Article  Google Scholar 

  26. Sándor J, Lengyel B, Haidegger T, Saftics G, Papp G, Nagy A, Wéber G (2010) Minimally invasive surgical technologies: challenges in education and training. Asian J Endosc Surg 3(3):101–108. https://doi.org/10.1111/j.1758-5910.2010.00050.x

  27. Schijven M, Jakimowicz J (2004) Virtual reality surgical laparoscopic simulators—how to choose. Res Gate 17(12):1943–50. https://doi.org/10.1007/s00464-003-9052-6

    Article  Google Scholar 

  28. Spence AM (1981) The learning curve and competition. Bell J Econ 12(1):49–70

    Article  MathSciNet  Google Scholar 

  29. Steigerwald SN, Park J, Hardy KM, Gillman L, Vergis AS (2015) The fundamentals of laparoscopic surgery and LapVR evaluation metrics may not correlate with operative performance in a novice cohort. Med Educ Online 20:30024

    Google Scholar 

  30. Takács A, Kovács L, Rudas I, Precup RE, Haidegger T (2015) Models for force control in telesurgical robot systems. Acta Polytech Hung 12(8):95–114

    Google Scholar 

  31. Takács A, Nagy D, Rudas I, Haidegger T (2016) Origins of surgical robotics. Acta Polytech Hung 13(1):13–30

    Google Scholar 

  32. Thinggaard E, Bjerrum F, Strandbygaard J, Gögenur I, Konge L (2016) Ensuring competency of novice laparoscopic surgeons-exploring standard setting methods and their consequences. J Surg Educ 73(6):986–991. https://doi.org/10.1016/j.jsurg.2016.05.008

    Article  Google Scholar 

  33. Thinggaard E, Konge L, Bjerrum F, Strandbygaard J, Gögenur I, Spanager L (2017) Take-home training in a simulation-based laparoscopy course. Surg Endosc 31(4):1738–1745. https://doi.org/10.1007/s00464-016-5166-5

    Article  Google Scholar 

  34. Undre S, Darzi A (2007) Laparoscopy simulators. J Endourol 21(3):274–279. https://doi.org/10.1089/end.2007.9980

    Article  Google Scholar 

  35. van Velthoven RF (2006) Methods for laparoscopic training using animal models. PubMed 7(2):114–9

    Google Scholar 

  36. Zendejas B, Brydges R, Hamstra SJ, Cook DA (2013) State of the evidence on simulation-based training for laparoscopic surgery. Syst Rev Res Gate 257(4):586–93. https://doi.org/10.1097/SLA.0b013e318288c40b

    Article  Google Scholar 

Download references

Acknowledgements

The research was supported by the Hungarian OTKA PD 116121 grant. This work has been supported by ACMIT (Austrian Center for Medical Innovation and Technology), which is funded within the scope of the COMET (Competence Centers for Excellent Technologies) program of the Austrian Government. T. Haidegger is supported through the New National Excellence Program of the Ministry of Human Capacities. Partial support of this work came from the Hungarian State and the European Union under the EFOP-3.6.1-16-2016-00010 project.

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Authors and Affiliations

  1. Antal Bejczy Center for Intelligent Robotics, Óbuda University, 82 Kiscelli Street, Budapest, 1032, Hungary

    László Jaksa, Balázs Szabó, Dénes Ákos Nagy, Péter Galambos & Tamás Haidegger

  2. University of Surrey, Guildford, GU2 7XH, UK

    Illés Nigicser

  3. Austrian Center for Medical Innovation and Technology, 2 Viktor Kaplan Street, 2700, Wiener Neustadt, Austria

    Tamás Haidegger

Authors
  1. László Jaksa
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  2. Illés Nigicser
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  3. Balázs Szabó
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  4. Dénes Ákos Nagy
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  5. Péter Galambos
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  6. Tamás Haidegger
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Correspondence to László Jaksa .

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Editors and Affiliations

  1. Faculty of Electronics, Wrocław University of Science and Technology, Wrocław, Poland

    Ryszard Klempous

  2. Faculty of Electronics, Wrocław University of Science and Technology, Wrocław, Poland

    Jan Nikodem

  3. Széchenyi István University, Győr, Hungary

    Péter Zoltán Baranyi

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Jaksa, L., Nigicser, I., Szabó, B., Nagy, D.Á., Galambos, P., Haidegger, T. (2019). CogInfoCom-Driven Surgical Skill Training and Assessment. In: Klempous, R., Nikodem, J., Baranyi, P. (eds) Cognitive Infocommunications, Theory and Applications. Topics in Intelligent Engineering and Informatics, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-95996-2_13

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