The Use of 3-Dimensional, Virtual Reality Models for Surgical Planning of Robotic Partial Nephrectomy

Abstract

To determine whether 3-dimensional virtual reality models of patient-specific anatomy improve outcomes in patients undergoing robotic partial nephrectomy. Computed tomography and magnetic resonance imaging scans for 30 patients undergoing robotic partial nephrectomy were converted to 3-dimensional virtual reality models prior to the patient's operation. These models were then viewed on the surgeon's mobile phone pre- and intraoperatively using a Google Cardboard headset to assist in surgical planning. This group was compared to 30 patients who previously underwent robotic partial nephrectomy. We compared operative time, clamp time, estimated blood loss, hospital stay, complications, and margin status between these groups. We used forward selecting multivariate regression models to create the final model controlling for significant demographic and clinical variables. When controlling for case complexity and surgeon, patients with 3-dimensional, virtual reality-assisted surgical planning had significantly lower operative time (141 minutes vs 201 minutes, P < .0001), clamp time (13.2 minutes vs 17.4 minutes, P = .0274), and estimated blood loss (134 cc vs 259 cc, P = .0233). Patients without 3-dimensional, virtual reality-assisted surgical planning were more likely to have a hospital stay of greater than 2 days (odds ratio 5.1, 95% confidence interval 1.0, 26.4). There were no complications or positive margins noted in the VR group. Use of a 3-dimensional, virtual reality model when performing robotic partial nephrectomy improves key surgical outcome parameters.