Objective To develop and seek consensus from procedure experts on the metrics that best characterise a reference robot-assisted radical prostatectomy (RARP) and determine if the metrics... Show moreObjective To develop and seek consensus from procedure experts on the metrics that best characterise a reference robot-assisted radical prostatectomy (RARP) and determine if the metrics distinguished between the objectively assessed RARP performance of experienced and novice urologists, as identifying objective performance metrics for surgical training in robotic surgery is imperative for patient safety.Materials and methods In Study 1, the metrics, i.e. 12 phases of the procedure, 81 steps, 245 errors and 110 critical errors for a reference RARP were developed and then presented to an international Delphi panel of 19 experienced urologists. In Study 2, 12 very experienced surgeons (VES) who had performed >500 RARPs and 12 novice urology surgeons performed a RARP, which was video recorded and assessed by two experienced urologists blinded as to subject and group. Percentage agreement between experienced urologists for the Delphi meeting and Mann-Whitney U- and Kruskal-Wallis tests were used for construct validation of the newly identified RARP metrics.Results At the Delphi panel, consensus was reached on the appropriateness of the metrics for a reference RARP. In Study 2, the results showed that the VES performed similar to 4% more procedure steps and made 72% fewer procedure errors than the novices (P = 0.027). Phases VIIa and VIIb (i.e. neurovascular bundle dissection) best discriminated between the VES and novices. Limitations: VES whose performance was in the bottom half of their group demonstrated considerable error variability and made five-times as many errors as the other half of the group (P = 0.006).Conclusions The international Delphi panel reached high-level consensus on the RARP metrics that reliably distinguished between the objectively scored procedure performance of VES and novices. Reliable and valid performance metrics of RARP are imperative for effective and quality assured surgical training. Show less
Objective To assess the effect of surgical experience on peri-operative, functional and oncological outcomes during the first 50 Retzius-sparing robot-assisted radical prostatectomy (RsRARP) cases... Show moreObjective To assess the effect of surgical experience on peri-operative, functional and oncological outcomes during the first 50 Retzius-sparing robot-assisted radical prostatectomy (RsRARP) cases performed by surgeons naive to this novel approach. Materials and Methods We retrospectively evaluated the initial cases operated by 14 surgeons in 12 different international centres. Pre-, peri- and postoperative features of the first 50 patients operated by each surgeon in all the participating centres were collected. The effect of surgical experience on peri-operative, functional and oncological outcomes was firstly evaluated after stratification by level of surgical experience (initial [<= 25 cases] and expert [>25 cases]) and after using locally weighted scatterplot smoothing to graphically explore the relationship between surgical experience and the outcomes of interest. Results We evaluated 626 patients. The median follow-up was 13 months in the initial group and 9 months in the expert group (P= 0.002). Preoperative features overlapped between the two groups. Shorter console time (140 vs 120 min;P= 0.001) and a trend towards lower complications rates (13 vs 5.5%;P= 0.038) were observed in the expert group. The relationship between surgical experience and console time, immediate urinary continence recovery and Clavien-Dindo grade >= 2 complications was linear, without reaching a plateau, after 50 cases. Conversely, a non-linear relationship was observed between surgical experience and positive surgical margins (PSMs). Conclusions In this first report of a multicentre experience of RsRARP during the learning curve, we found that console time, immediate urinary continence recovery and postoperative complications are optimal from the beginning and further quickly improve during the learning process, while PSM rates did not clearly improve over the first 50 cases. Show less
