Single-port Transvesical Robot-assisted Radical Prostatectomy: The Surgical Learning Curve of the First 100 Cases

• Published in: Urology (Ridgewood, N.J.) Vol. 178; pp. 76 - 82
• Main Authors: Ramos-Carpinteyro, Roxana, Ferguson, Ethan L., Chavali, Jaya S., Geskin, Albert, Soputro, Nicolas, Kaouk, Jihad
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-08-2023
• Subjects: Humans; Learning Curve; Male; Prostate - surgery; Prostatectomy - methods; Prostatic Neoplasms - surgery; Retrospective Studies; Robotic Surgical Procedures - methods; Robotics - methods
• ISSN: 0090-4295; 1527-9995
• DOI: 10.1016/j.urology.2023.05.027

To determine the number of cases required to reach plateau performance.
We performed a single-surgeon review of the first 100 consecutive procedures. All procedures were performed using the da Vinci single-port robotic system between November 2020 and March 2022. Time was used as the measure of the learning curve (LC). Relevant surgical steps were considered separately for detailed analysis. Data were collected retrospectively and analyzed through the cumulative sum method and moving average graphing. A comparative analysis was done between subgroups of 20 consecutive cases for perioperative outcomes.
All cases were completed successfully, without extra ports or conversion. The LC for prostate excision showed initial exponential improvement and reached plateau at case 28. Vesicourethral anastomosis time gradually shortened over time, with a clear inflection point at case 10. Total operative time rapidly improved and plateaued early to 213.0 minutes. Robot-docking and undocking, achieving hemostasis, wound closure, and intraoperative idle times were consistent throughout the series. Estimated blood loss decreased significantly after the first 20 cases (from median of 135.0-88.0 mL, P = .03).
In our early experience, the LC for single-port transvesical robot-assisted radical prostatectomy suggests that performance improved after 10-30 cases in the hands of an experienced robotic surgeon.