Skip to main content
Log in

Novel simulator for robotic surgery

  • Brief Communication
  • Published:
Journal of Robotic Surgery Aims and scope Submit manuscript

Abstract

Surgical simulation avoids practicing skills in patients, allowing trainees to learn in a safe, controlled, and standardized environment. Current robotic surgical simulators available include virtual reality simulators, human cadavers, and live animals. The use of cadavers has the highest possible fidelity available to practice entire operations. Nevertheless, their cost, availability, tissue compliance, and infection risk outweigh the advantages of cadaver models. Drawbacks of using live animals include anatomical differences with humans, high costs due to their housing and handling requirements, and ethical concerns. We designed a novel robotic surgical simulator based on porcine perfused tissue blocks that allows the simulation of entire surgical procedures. Our simulation allows trainees to increase familiarity with the robotic console and its controls, as well as with the docking process. It provides an opportunity to learn not only universal skills needed in robotic surgery, such as camera and instrument targeting, but also to perform complete surgical procedures such as an antireflux procedure. The adoption of robotic simulation curricula with realistic models will decrease overall operative time while increasing resident participation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  1. Issenberg SB, McGaghie WC, Hart IR et al (1999) Simulation technology for health care professional skills training and assessment. JAMA 282(9):861–866

    Article  CAS  PubMed  Google Scholar 

  2. Aggarwal R, Mytton OT, Derbrew M et al (2010) Training and simulation for patient safety. Qual Saf Health Care 2:i34–i43

    Article  Google Scholar 

  3. Reznick RK, MacRae H (2006) Teaching surgical skills–changes in the wind. N Engl J Med 355(25):2664–2669

    Article  CAS  PubMed  Google Scholar 

  4. Kenngott HG, Fischer L, Nickel F et al (2012) Status of robotic assistance–a less traumatic and more accurate minimally invasive surgery? Langenbecks Arch Surg 397(3):333–341

    Article  CAS  PubMed  Google Scholar 

  5. Schootman M, Hendren S, Ratnapradipa K et al (2016) Adoption of robotic technology for treating colorectal cancer. Dis Colon Rectum 59(11):1011–1018

    Article  PubMed  PubMed Central  Google Scholar 

  6. Tanaka A, Graddy C, Simpson K et al (2016) Robotic surgery simulation validity and usability comparative analysis. Surg Endosc 30(9):3720–3729

    Article  PubMed  Google Scholar 

  7. Foell K, Furse A, Honey RJ et al (2013) Multidisciplinary validation study of the da Vinci Skills Simulator: educational tool and assessment device. J Robot Surg 7(4):365–369

    Article  PubMed  Google Scholar 

  8. Rehman S, Raza SJ, Stegemann AP et al (2013) Simulation-based robot-assisted surgical training: a health economic evaluation. Int J Surg 11(9):841–846

    Article  PubMed  Google Scholar 

  9. Mehaffey JH, Michaels AD, Mullen MG et al (2017) Adoption of robotics in a general surgery residency program: at what cost? J Surg Res 213:269–273

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francisco Schlottmann.

Ethics declarations

Conflict of interest

Francisco Schlottmann, MD declares that he has no conflict of interest. Marco G. Patti, MD declares that he has no conflict of interest.

Ethical approval

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed.

Statement of human and animal rights

This study does not contain any studies with human participants performed by any of the authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schlottmann, F., Patti, M.G. Novel simulator for robotic surgery. J Robotic Surg 11, 463–465 (2017). https://doi.org/10.1007/s11701-017-0746-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11701-017-0746-5

Keywords

Navigation