Robot-Assisted Laparoscopic Radical Prostatectomy Utilizing Hugo RAS Platform: Initial Experience
Background: The Hugo RAS™ is a newly launched robotic system for clinical use. This article provides the initial outcomes of patients undergoing radical prostatectomy with Hugo RAS. It also attempts to compare the outcomes with a similar set of patients undergoing the procedure with the DaVinci robo...
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Veröffentlicht in: | Journal of endourology 2023-02, Vol.37 (2), p.147-150 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Background:
The Hugo RAS™ is a newly launched robotic system for clinical use. This article provides the initial outcomes of patients undergoing radical prostatectomy with Hugo RAS. It also attempts to compare the outcomes with a similar set of patients undergoing the procedure with the DaVinci robotic systems.
Methodology:
Patients undergoing radical prostatectomy for biopsy-proven prostate cancer were included in this study. Institutional ethical approval was obtained, and patients were counseled preoperatively with informed consent. Both intra- and postoperative data were carefully recorded for the Hugo RAS. Patients who underwent radical prostatectomy in DaVinci robotic systems during a similar period were chosen to compare the outcomes of the Hugo systems in a nonrandomized study.
Results:
A total of 34 patients were included in this study wherein 17 radical prostatectomies were done in the Hugo RAS system and 17 in the DaVinci system were chosen to compare. The total operative time (210
vs
195 minutes) and dock time (190
vs
170 minutes) were similar between the two groups. An R0 or R1 resection and vesicourethral anastomosis were achieved in all cases. There were no notable intra- or postoperative complications in up to 1-month follow-up.
Conclusion:
The authors believe that the Hugo RAS platform is a safe robotic system for pelvic procedures such as radical prostatectomy, provides comparable results with existing robotic systems, and is a good addition to the existing arsenal of surgical robots. |
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ISSN: | 0892-7790 1557-900X |
DOI: | 10.1089/end.2022.0461 |