Sydney Women's Endosurgery Centre (SWEC), St George Hospital, Kogarah, Sydney, NSW, Australia.
University of New South Wales, Sydney, NSW, Australia.
J Robot Surg. 2024 Sep 26;18(1):350. doi: 10.1007/s11701-024-02109-z.
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.
我们分享了我们在妇科良性手术中使用 Hugo™ 机器人辅助手术系统的经验。我们回顾性分析了 2023 年 2 月至 2024 年 2 月在我们手术中心接受择期机器人妇科良性疾病手术的患者。收集的数据包括患者人口统计学、手术适应证和结果。记录了围手术期的端口放置时间、臂配置、对接和控制台时间等数据。还记录了手术结果数据,包括故障排除和总体满意度。主要结果是端口放置、对接时间、臂配置和控制台时间的围手术期数据。次要结果定义为团队满意度、系统故障排除、臂重新定位以及 Clavien-Dindo 分级 3-4 的并发症。在 12 个月的研究期间,共有 60 名患者因良性妇科疾病使用 Hugo™ RAS 进行了手术,主要用于盆腔子宫内膜异位症(53%)、子宫切除术(27%)和附件手术(10%)。平均端口放置时间为 13 分 41 秒。在 31%的情况下使用了低端口放置,臂定位在 63%的情况下为不对称,在 37%的情况下为对称,这表明该系统在定制端口配置时具有灵活性,同时优化了美容效果。对接时间平均为 5 分 51 秒,控制台时间为 1 小时 5 分钟。操作挑战包括手臂震颤和助手的工作空间有限。本研究详细介绍了我们使用 Hugo™ RAS 的经验。在一个训练有素的团队中,端口放置、臂定位、对接和手术时间的学习曲线可以迅速适应。我们的经验表明,该技术仍处于学习曲线阶段。