WCE 2018: Patient-Specific Virtual Reality Simulation Improves Visuospatial Recognition of Renal Masses
Paris, France (UroToday.com) As an introduction to his talk, Arun Rai stated that for greater than 60,000 cases of RCC, 61% of all renal masses are T1-T2 and that Robotic-assisted laparoscopic partial nephrectomy is now accepted as standard of care for most T1 tumors and has been suggested as standard for T2 masses as well. He also stated that education and training for this procedure requires delicate tissue handling without haptic feedback, and the need for excellent visuospatial understanding.
Dr. Arun Rai concluded that the use of the dV-Trainer improved renal tumor visuospatial recognition and the selection of closer renal mass compared to standard 2D imaging alone. He added that in this study, trainees who had access to the dV-trainer, on average were 50% closer to the correct renal mass. Lastly, he stated that all other factors such as age, 3D aptitude score, dV-Trainer score, ability to assign the correnct R.E.N.A.L nephrometry score, MS year, and desired future specialty did not associate with tumor localizing ability.