Baunacke Martin, Hirtsiefer Christopher, Herout Roman, Mehralivand Sherif, Oelkers Susanne, Kaske Oliver, Franz Claudia, Thomas Christian
Department of Urology, Medical Faculty Carl Gustav Carus, TU Dresden, Fetscherstr. 74, 01307, Dresden, Germany.
Department of Medical Technology, Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany.
J Robot Surg. 2025 Jan 6;19(1):46. doi: 10.1007/s11701-024-02196-y.
The Hugo RAS system is characterized by its multimodular design, which leads to an increased docking effort. Exact data for docking time and the learning curve is missing. We describe for the first time the use of a laser-guided cart positioning to reduce the docking time. In this prospective monocentric study, the docking time was evalutated for a consecutive series of pelvic surgeries with the Hugo RAS system. In a subgroup, a cross-line laser was adapted at the cart for positioning using fix points at the ceiling. The medical personnel were classified as "inexperienced" with ≤ 5 consecutive dockings and as "experienced" with > 5 consecutive dockings. From 10/2023 to 08/2024, 82 procedures were performed with the Hugo RAS. For the evaluation 75 procedures could be considered. The mean docking time was 7.6 ± 3.5 min. There was a reduction in docking time from 13.5 ± 3.7 min in the first 5 procedures to 4.4 ± 0.9 min in the last 5 procedures (p < 0.001). Docking with laser (n = 45) was faster than without laser (n = 30) (6.2 ± 2.5 vs. 9.8 ± 3.7 min, p < 0.001). Faster docking time was observed with inexperienced surgical nursing staff with laser than without laser (10.4 ± 3.7 vs. 5.4 ± 1.4 min; p < 0.001). With experienced nursing staff, the laser had no influence (6.6 ± 1.3 vs. 6.7 ± 2.9 min; p = 0.9). As a reference docking time for daVinci Xi procedures was 2.4 ± 1.7 min (n = 5). Laser-guided cart positioning has a significant impact on docking time, especially for unexperienced medical personnel. Especially in the times of experienced staff shortage, laser-guided cart positioning can save operating time.
雨果机器人辅助手术系统(Hugo RAS)的特点是其多模块设计,这导致对接工作增加。目前缺少对接时间和学习曲线的确切数据。我们首次描述了使用激光引导推车定位来减少对接时间。在这项前瞻性单中心研究中,我们评估了连续一系列使用雨果机器人辅助手术系统进行的盆腔手术的对接时间。在一个亚组中,在推车上安装了交叉线激光,通过天花板上的固定点进行定位。医务人员被分为“无经验”(连续对接次数≤5次)和“有经验”(连续对接次数>5次)。从2023年10月到2024年8月,使用雨果机器人辅助手术系统进行了82例手术。为了进行评估,可以考虑75例手术。平均对接时间为7.6±3.5分钟。对接时间从最初5例手术的13.5±3.7分钟减少到最后5例手术的4.4±0.9分钟(p<0.001)。使用激光对接(n=45)比不使用激光对接(n=30)更快(6.2±2.5分钟对9.8±3.7分钟,p<0.001)。无经验的外科护理人员使用激光对接的时间比不使用激光更快(10.4±3.7分钟对5.4±1.4分钟;p<0.001)。对于有经验的护理人员,激光没有影响(6.6±1.3分钟对6.7±2.9分钟;p=0.9)。作为参考,达芬奇Xi手术的对接时间为2.4±1.7分钟(n=5)。激光引导推车定位对对接时间有显著影响,特别是对于无经验的医务人员。特别是在有经验的工作人员短缺的时期,激光引导推车定位可以节省手术时间。