使用 hugo RAS 系统的机器人辅助前列腺癌根治术:台湾和东北亚地区的先驱经验

IF 2.3 3区 医学 Q2 SURGERY
Yen-Chuan Ou, Hsien-Che Ou, Yung-Shun Juan, Ragavan Narasimhan, Alex Mottrie, Wei-Chun Weng, Li-Hua Huang, Yi-Sheng Lin, Chao-Yu Hsu, Che-Hsueh Yang, Min-Che Tung
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引用次数: 0

摘要

背景 在新型机器人平台中,Hugo RAS 系统是仅次于达芬奇系统的第二大研究平台。 方法 我们记录了首批 12 例使用 Hugo RAS 系统进行前列腺癌根治术的病例。中位控制台时间为 145 分钟,中位住院时间为 7 天。采用 Hedge'g 方法寻找手术中四个参数的临界病例。 结果 前七例手术后,控制台前准备工作明显改善,前两例手术后,控制台时间明显缩短。前三例手术后,术中停顿以排除故障的时间明显缩短。 结论 我们发现使用 Hugo RAS 系统进行 RP 是可行的,而且学习曲线很短,因为外科医生可以从之前使用达芬奇系统的经验中获益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robot-assisted radical prostatectomy using hugo RAS system: The pioneer experience in Taiwan and Northeast Asia

Robot-assisted radical prostatectomy using hugo RAS system: The pioneer experience in Taiwan and Northeast Asia

Background

Among the novel robotic platforms, the Hugo RAS system is the second most studied platform, next to the da Vinci system, and we aim to address our experiences in radical prostatectomy (RP) with the Hugo RAS system.

Methods

We recorded our first 12 cases of prostate cancer undergoing RP with the Hugo RAS system. The median console time was 145 min and median hospital stay was 7 days. Hedge’ g was applied to search for the cut-off case in four parameters in surgeries.

Results

Pre-console preparation was significantly improved after the first seven cases, and the console time was remarkably shortened after the first two cases. The intraoperative pause for trouble shooting was remarkably shortened after the first three cases.

Conclusions

We found that RP with the Hugo RAS system was feasible, and the learning curve was short as surgeons may benefit from the previous experience with the da Vinci system.

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来源期刊
CiteScore
4.50
自引率
12.00%
发文量
131
审稿时长
6-12 weeks
期刊介绍: The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.
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