Skills transfer from the DaVinci® system to the Hugo™ RAS system
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Purpose: Recently, the robotic surgical system, Hugo™ was approved for clinical use. The transfer of skills is important for understanding the implementation of surgical innovation. We explored the transfer of skills from the DaVinci® to the Hugo™ by studying the learning curve and short-term patient outcomes during radical prostatectomy (RARP). Methods: We examined the transfer of skills from one surgeon performing RARP from the first case with the Hugo™ system in April 2022. The surgeon had previously performed > 1000 RARPs using DaVinci®. Perioperative and clinical outcomes were collected for procedures on both Hugo™ and DaVinci®. Patient follow-up time was 3 months. Results: Nineteen Hugo™ cases and 11 DaVinci® cases were recorded. No clinically relevant difference in procedure time was found when transferring to Hugo™. Patients operated using Hugo™ had more contacts postoperatively compared to the DaVinci®, all Clavien–Dindo (CD) grade 1 (53% vs 18%). Three patients from the Hugo™ group were re-admitted within 30 days with catheter malfunction (CD grade 1), infection without a focus (CD grade 2), and ileus due to a hernia in the port hole (CD grade 3b). The 3-month follow-up showed similar results in prostate-specific antigen levels (PSA) and erectile dysfunction between the two robotic systems, but a higher incidence of incontinence was found for the Hugo™. Conclusion: We observed that the skills of an experienced robotic surgeon are transferable from DaVinci® to Hugo™ when performing RARP. No obvious benefits were found for using Hugo™ compared to DaVinci® for RARP although this needs confirmatory studies.
Original language | English |
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Journal | International Urology and Nephrology |
Volume | 56 |
Pages (from-to) | 389–397 |
Number of pages | 9 |
ISSN | 0301-1623 |
DOIs | |
Publication status | Published - 2024 |
Bibliographical note
Publisher Copyright:
© 2023, The Author(s).
- Hugo™ RAS, IDEAL framework, Learning curve, Prostate cancer, Robot-assisted radical prostatectomies, Urology
Research areas
ID: 370270908