Implementation and outcomes in benign gynecological surgery with HUGO™ RAS system 12 months initial experience

Yael Yagur*, Martin A. Martino, Mikhail Sarofim, Mohammed Almoqren, Hayley Anderson, Jessica Robertson, Sarah Choi, David Rosen, Danny Chou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We share our experience with the Hugo™ Robotic-Assisted Surgery system in benign gynecological surgeries. We retrospectively analyzed patients who underwent elective robotic surgeries for benign gynecological conditions at our surgical center from February 2023 to February 2024. Data collected included patient demographics, surgery indications, and outcomes. Perioperative data on port-placement time, arm configurations, docking, and console time were documented. Procedural outcome data including troubleshooting and overall satisfaction were also recorded. The primary outcome was perioperative data on port placement, docking time, arm configuration, and console time. The secondary outcome was defined as team satisfaction, system troubleshooting, arm repositioning, and complications graded 3–4 on the Clavien–Dindo Scale. A total of 60 patients underwent procedures for benign gynecological conditions using the Hugo™ RAS over the 12-month study period, primarily for pelvic endometriosis (53%), hysterectomies (27%), and adnexal surgery (10%). The mean port-placement time was 13 min and 41 s. In 31% of cases, low-port placement was used, with arm positioning being asymmetrical in 63% and symmetrical in 37%, demonstrating the system’s flexibility in customizing port configurations while optimizing cosmetic outcomes. Docking time averaged 5 min and 51 s, and console time was 1 h and 5 min. Operational challenges included arm tremors and limited workspace for the assistant. This study details our knowledge using the Hugo™ RAS. Learning curves of port placement, arm positioning, docking, and procedure time can be rapidly adapted in a well-trained team. Our experience suggests the technology is still in its learning curve period.

Original languageEnglish
Article number350
JournalJournal of Robotic Surgery
Volume18
Issue number1
DOIs
StatePublished - Dec 2024

Keywords

  • Da Vinci
  • Docking time
  • Hugo™
  • Learning curve
  • Port placement
  • Robotic assisted surgery

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