Development of an affordable, immersive model for robotic vaginal cuff closure: a randomized trial.

Journal: Journal of robotic surgery
Published Date:

Abstract

Safe and secure closure of the vaginal cuff is a critical component of a robotic assisted hysterectomy procedure. Our aim in this study is to develop and validate a novel vaginal cuff closure model (VC) created from porcine heart that allows trainees to obtain competency in a low-risk environment. Ten expert and 20 novice robotic surgeons performed a cuff closure exercise on the VC model and on the dV-Trainer, a virtual reality simulator (VR). Performances were timed, videotaped, and scored using the modified Global Evaluative Assessment of Robotic Skills (mGEARS) score. Expert robotic surgeons completed the task faster on both the VR (531 vs. 814 s, p = 0.03) and the VC platforms (311 vs. 631 s, p < 0.001) and achieved higher mGEAR scores (32.25 vs. 22.07, p < 0.0001). Knot quality and suturing accuracy were better in the VC than in the VR environment in both groups. In a post-completion survey, both expert and novice surgeons expressed strong preference towards the VC model. In this study, the novel VC model proved to be a reliable simulation tool with high face, content, and construct validity. Due to its simplicity and low cost, this high-yield simulation exercise can easily be incorporated into robotic training curricula of obstetrics and gynecology residents.

Authors

  • Federico Gheza
    Division of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, IL Department of General Surgery, Centre Hospitalier de Luxembourg, Luxembourg Department of Clinical and Experimental Sciences, Surgical Clinic, University of Brescia, Brescia, Italy.
  • Lauren Pinkard
    Department of Obstetrics and Gynecology, University of Illinois Chicago, Chicago, IL, USA.
  • Arielle Grand
    Department of Obstetrics and Gynecology, University of Illinois Chicago, Chicago, IL, USA.
  • Gabriela Aguiluz-Cornejo
    Department of Surgery, University of Illinois Chicago, 840 S Wood Street Suite 435E, Chicago, IL, 60612, USA.
  • Alberto Mangano
    Division of General, Minimally Invasive and Robotic Surgery, University of Illinois at Chicago, Chicago, IL, USA.
  • Andras Ladanyi
    Department of Obstetrics and Gynecology, University of Illinois Chicago, Chicago, IL, USA.