Related Experiment Video
Updated: May 7, 2026
Robot-Assisted Kidney Transplantation
Published on: July 19, 2021
Robotic-assisted partial nephrectomy with the Hugo-RAS system: Initial experience, surgical outcomes, and
Nuno Vinagre1,2, Guilherme Gonçalves1,2, Sofia Mesquita1,2
1Department of Urology, Unidade Local de Saúde de Santo António, Porto, Portugal.
Introduction:
Robotic-assisted partial nephrectomy (RAPN) is a standard approach for nephron-sparing surgery. The Hugo-RAS system is an emerging platform, but data on its outcomes and learning curve are limited. This study evaluates the safety, efficacy, and learning curve of RAPN using Hugo-RAS in a high-volume laparoscopic center.
Material And Methods:
We analyzed 42 consecutive RAPN cases performed with the Hugo-RAS system from May 2023 to October 2024. Perioperative outcomes, renal function, and the learning curve were assessed. The primary endpoint was the "trifecta" (warm ischemia time <25 min, negative surgical margins, and no major complications). Learning curve analysis used Cumulative Sum Control Chart (CUSUM) methodology.
Results:
The median console time was 88 minutes (IQR: 74-107), with a docking time of 5 minutes (IQR: 240-420s). The trifecta rate was 83.3%, and no conversions occurred. Docking proficiency was achieved by the 5th case, while console time proficiency was reached after 7-8 cases. Tumor complexity did not significantly impact surgical time (p = 0.781) but was associated with longer warm ischemia time (p = 0.0037).
Conclusions:
The Hugo-RAS system allows for safe and effective RAPN with a rapid learning curve. Surgeons adapt quickly, achieving proficiency within a short number of cases. Further studies are needed to validate long-term outcomes and broader applicability.
