Simulation-based robot-assisted surgical training


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Since the first use of robotic surgical system in 2000, the robot-assisted technology has gained wide popularity throughout the world. Robot-assisted surgical training is a complex issue that requires significant efforts from students and teacher. During the last two decades, simulation-based training had received active development due to wide-spread occurrence and popularization of laparoscopic and robot-assisted surgical techniques. We performed a systematic review to identify the currently available simulators for robot-assisted surgery. We searched the Medline and Pubmed, English sources of literature data, using the following key words and phrases: «robotics», «robotic surgery», «computer assisted surgery», «simulation», «computer simulation», «virtual reality», «surgical training», and «surgical education». There were identified 565 publications, which meet the key words and phrases; 19 publications were selected for the final analysis. It was established that simulation-based training is the most promising teaching tool that can be used in the training of the next generation robotic surgeons. Today the use of simulators to train surgeons is validated. Price of devices is an obvious barrier for inclusion in the program for training of robotic surgeons, but the lack of this tool will result in a sharp increase in the duration of specialists’ training.

Full Text

Restricted Access

About the authors

K. B Kolontarev

MSMSU n.a. A.E. Evdokimov

Email: kb80@yandex.ru
Doctor of Medical Scineces, Teaching Assitant

A. V Govorov

MSMSU n.a. A.E. Evdokimov

Department of Urology

P. I Rasner

MSMSU n.a. A.E. Evdokimov

Department of Urology

S. A Sheptunov

ICTI RAS

E. A Prilepskaya

MSMSU n.a. A.E. Evdokimov

Department of Urology

E. G Maltsev

MSMSU n.a. A.E. Evdokimov

Department of Urology

D. Yu Pushkar

MSMSU n.a. A.E. Evdokimov

Department of Urology

References

  1. Seixas-Mikelus S.A., Kesavadas T., Srimathveeravalli G., Chandrasekhar R., Wilding G.E., Guru K.A. Face validation of a novel robotic surgical simulator. Urology. 2010;76:357-360.
  2. Seixas-Mikelus S.A., Stegemann A.P., Kesavadas T., Srimathveeravalli G., Sathyaseelan G., Chandrasekhar R., Wilding G.E.,Peabody J.O., Guru K.A. Content validation of a novel robotic surgical simulator. BJU Int. 2011;107:1130-1135.
  3. Kesavadas T., Kumar A., Srimathveeravalli G. et al. Efficacy of Robotic Surgery Simulator (RoSS) for the da Vinci® Surgical System. J. Urol. 2009;181(Suppl. 823).
  4. Guru K., Baheti A., Kesavadas T. et al. In-vivo videos enhance cognitive skilla for da Vinci® Surgical System. J. Urol. 2009; 181(Suppl. 823).
  5. Gavazzi A., Bahsoun A.N., Van Haute W., Ahmed K., Elhage O., Jaye P., Khan M.S., Dasgupta P. Face, content and construct validity of a virtual reality simulator for robotic surgery (SEP Robot). Ann R. Coll Surg. Engl. 2011; 93:146-150.
  6. Van der Meijden O.A., Broeders I.A., Schijven M.P. The SEP ‘Robot’: a valid virtual reality robotic simulator for the da vinci surgical system? Surg. Technol. Int. 2010;19:51-58.
  7. McDonough P., Peterson A., Brand T. Initial validation of the ProMIS surgical simulator as an objective measure of robotic task performance. J. Urol. 2010;183(Suppl. 515).
  8. Lendvay T.S., Casale P., Sweet R., Peters C. VR robotic surgery: randomized blinded study of the dV-Trainer robotic simulator. Stud Health Technol Inform. 2008;132:242-244.
  9. Jonsson M.N., Mahmood M., Askerud T., Hellborg H., Ramel S., Wiklund N.P., Kjellman M., Ahlberg G. ProMISTM can serve as a da Vinci® simulator - a construct validity study. J Endourol. 2011;25:345-350.
  10. Fiedler M.J., Chen S.J., Judkins T.N., Oleynikov D., Stergiou N. Virtual reality for robotic laparoscopic surgical training. Stud Health Technol Inform. 2007;125:127-129.
  11. Sethi A.S., Peine W.J., Mohammadi Y., Sundaram C.P. Validation of a novel virtual reality robotic simulator. J. Endourol. 2009; 23:503-508.
  12. Kenney P.A., Wszolek M.F., Gould J.J., Libertino J.A., Moinzadeh A. Face, content, and construct validity of dV-trainer, a novel virtual reality simulator for robotic surgery. Urology. 2009;73:1288-1292.
  13. Korets R., Graversen J.A., Mues A. Face and construct validity assessment of 2nd generation robotic surgery simulator. J. Urol. 2011;185(Suppl. 488).
  14. Korets R., Mues A.C., Graversen J. et al. Comparison of robotic surgery skill acquisition between DV-Trainer and da Vinci surgical system: a randomized controlled study. J Urol. 2011; 185(Suppl. 593).
  15. Lerner M.A., Ayalew M., Peine W.J., Sundaram C.P. Does training on a virtual reality robotic simulator improve performance on the da Vinci surgical system? J Endourol. 2010;24:467-472.
  16. Hung A.J., Zehnder P., Patil M.B., Cai J., Ng C.K., Aron M., Gill I.S., Desai M.M. Face, content and construct validity of a novel robotic surgery simulator. J Urol. 2011;186:1019-1024.
  17. Hung A.J., Zehnder P., Patil M.B., Cai J., Ng C.K., Aron M., Gill I.S., Desai M.M. Virtual reality for robotic laparoscopic surgical training. Stud Health Technol Inform. 2007;125:127-129.

Supplementary files

Supplementary Files
Action
1. JATS XML
Download

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies