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Title: EVALUATING THE EFFICACY AND SAFETY OF THE HUGO? ROBOTIC-ASSISTED SURGERY SYSTEM IN HYSTERECTOMY: A RETROSPECTIVE ANALYSIS OF 66 CASES
e-poster Number: EP 387
Category: Miscellaneous
Author Name: Dr. Meera Ragavan
Institute: Apollo Hospitals, Chennai
Co-Author Name:
Abstract :
Introduction: Hysterectomy, one of the most commonly performed gynecological surgeries, has seen significant advancements with robotic-assisted techniques. The Hugo? robotic-assisted surgery (RAS) system by Medtronic offers an alternative platform designed to enhance surgical precision and ergonomics. This study aims to evaluate the safety, efficacy, and feasibility of the Hugo system in performing hysterectomies. Materials and Methods: A retrospective analysis was conducted on 66 consecutive patients who underwent robotic- assisted hysterectomy using the Hugo RAS system between January 2022 and October 2024. Patient demographics, operative parameters, and perioperative outcomes were collected and analyzed. Key metrics included total operative time, console time, and postoperative complications. Statistical analysis was performed using mean ? standard deviation (SD) and percentage frequencies where applicable. Results: The mean total operative time was 90 ? 12 minutes, with console time averaging 64 ? 8 minutes. No intraoperative or postoperative complications were recorded, underscoring the system?s safety. The average estimated blood loss was 35 ? 10 mL, with all patients discharged within 24?48 hours. Conversion to open or laparoscopic surgery was not required in any case. The learning curve was observed to be minimal, with a progressive decrease in operative time noted after the first 15 cases (p < 0.05). Surgeon feedback highlighted improved ergonomics and instrument versatility as key advantages. Conclusion: The Hugo RAS system demonstrates high efficacy and safety in robotic hysterectomy, with no operative complications and consistent operative times. Its ergonomic design and advanced instrumentation make it a reliable alternative to other robotic platforms. Further studies with larger sample sizes and longer follow-up are warranted to confirm these findings and explore its application in more complex gynecological cases.