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本文引用的文献

1
Market potentials of robotic systems in medical science: analysis of the Avatera robotic system.机器人系统在医学领域的市场潜力:Avatera 机器人系统分析。
World J Urol. 2022 Jan;40(1):283-289. doi: 10.1007/s00345-021-03809-z. Epub 2021 Aug 23.
2
From Da Vinci Si to Da Vinci Xi: realistic times in draping and docking the robot.从达芬奇Si到达芬奇Xi:机器人铺单与对接的实际操作时代
J Robot Surg. 2020 Dec;14(6):835-839. doi: 10.1007/s11701-020-01057-8. Epub 2020 Feb 20.
3
Robot-assisted and laparoscopic vs open radical prostatectomy in clinically localized prostate cancer: perioperative, functional, and oncological outcomes: A Systematic review and meta-analysis.临床局限性前列腺癌中机器人辅助腹腔镜与开放根治性前列腺切除术:围手术期、功能及肿瘤学结局:一项系统评价与荟萃分析
Medicine (Baltimore). 2019 May;98(22):e15770. doi: 10.1097/MD.0000000000015770.
4
A comprehensive review of robotic surgery curriculum and training for residents, fellows, and postgraduate surgical education.机器人手术课程和培训的全面回顾:面向住院医师、研究员和研究生外科教育。
Surg Endosc. 2020 Jan;34(1):361-367. doi: 10.1007/s00464-019-06775-1. Epub 2019 Apr 5.
5
New era of robotic surgical systems.机器人手术系统的新时代。
Asian J Endosc Surg. 2018 Nov;11(4):291-299. doi: 10.1111/ases.12660. Epub 2018 Oct 10.
6
Robot Docking Time: Cumulative Summation Analysis of a Procedure-Independent Learning Curve in Pediatric Urology.机器人对接时间:小儿泌尿外科中与手术无关的学习曲线的累积求和分析
J Laparoendosc Adv Surg Tech A. 2018 Sep;28(9):1139-1141. doi: 10.1089/lap.2017.0418. Epub 2018 Jun 13.
7
SAGES University MASTERS Program: a structured curriculum for deliberate, lifelong learning.SAGES大学硕士项目:一个旨在促进深思熟虑的终身学习的结构化课程。
Surg Endosc. 2017 Aug;31(8):3061-3071. doi: 10.1007/s00464-017-5626-6. Epub 2017 Jun 20.
8
Learning Curve Analysis of Different Stages of Robotic-Assisted Laparoscopic Hysterectomy.机器人辅助腹腔镜子宫切除术不同阶段的学习曲线分析
Biomed Res Int. 2017;2017:1827913. doi: 10.1155/2017/1827913. Epub 2017 Mar 8.
9
Simulation-based training in robot-assisted surgery: current evidence of value and potential trends for the future.基于模拟的机器人辅助手术培训:当前的价值证据及未来潜在趋势
Curr Urol Rep. 2015 Jun;16(6):41. doi: 10.1007/s11934-015-0508-8.
10
Advancing surgical simulation in gynecologic oncology: robotic dissection of a novel pelvic lymphadenectomy model.推进妇科肿瘤学中的手术模拟:新型盆腔淋巴结清扫模型的机器人解剖
Simul Healthc. 2015 Feb;10(1):38-42. doi: 10.1097/SIH.0000000000000054.

在一个没有机器人手术经验的团队中,如何将术中准备和对接时间减至最短?

How to reduce intraoperative preparation and docking time to minimal in a team with a robotic naïve surgical experience?

作者信息

Kallidonis Panagiotis, Tatanis Vasileios, Tsaturyan Arman, Peteinaris Angelis, Faitatziadis Solon, Faria-Costa Gabriel, Gkeka Kristiana, Spinos Theodoros, Vrettos Theofanis, Al-Aown Abdurrahman, Stolzenbur Jens-Uwe, Liatsikos Evangelos

机构信息

Department of Urology, University of Patras, Patras, Greece.

Department of Urology, Erebouni Medical Centre, Yerevan, Armenia.

出版信息

Urol Ann. 2025 Apr-Jun;17(2):127-131. doi: 10.4103/ua.ua_7_25. Epub 2025 Apr 17.

DOI:10.4103/ua.ua_7_25
PMID:40352084
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12063918/
Abstract

PURPOSE

To evaluate the effect of preoperative training in an experimental setting on the preparation and docking of the avatera robotic system.

MATERIALS AND METHODS

Two different surgical groups (consisting of two nurses, one assistant, and one operating surgeon) attended an initial training on robot draping and docking procedures. Group 1 was involved in 10 robotic-assisted operations while Group 2 was trained in the dry lab using an artificial insufflated abdominal model (10 sessions). The decrease in time needed for docking and draping was evaluated. After the completion of the initial training, each group performed docking and draping procedures in five surgeries (including robotic-assisted radical prostatectomy and pyeloplasty) and the recorded times were compared.

RESULTS

In Group 1, the docking and draping time were diminished during the initial training program from 17 to 7 min and from 12 to 5 min, respectively. In Group 2, the docking time was decreased from 9 to 6 min and the draping time from 8 to 5 min. Both types of training (during real-life OR program vs. dry laboratory setting inclusive an insufflated abdominal model) resulted in nearly the same positive training effect for Group 1 and Group 2, respectively.

CONCLUSIONS

Conducing a training of patient preparation and docking in the dry laboratory using an insufflated abdominal model facilitates experience acquisition in a safe and calm environment. The training method of Group 2 might help to avoid the potentially longer anesthesia times for patients during the early learning curve of Group 1.

摘要

目的

评估在实验环境中进行术前训练对阿瓦特拉机器人系统的准备和对接的影响。

材料与方法

两个不同的手术小组(每组由两名护士、一名助手和一名主刀医生组成)参加了关于机器人铺巾和对接程序的初始培训。第1组参与了10台机器人辅助手术,而第2组在干式实验室中使用人工充气腹部模型进行训练(共10次)。评估对接和铺巾所需时间的减少情况。初始培训完成后,每组在五台手术(包括机器人辅助根治性前列腺切除术和肾盂成形术)中进行对接和铺巾程序,并比较记录的时间。

结果

在第1组中,初始培训期间对接时间从17分钟减少到7分钟,铺巾时间从12分钟减少到5分钟。在第2组中,对接时间从9分钟减少到6分钟,铺巾时间从8分钟减少到5分钟。两种类型的培训(在实际手术室程序中与在包含充气腹部模型的干式实验室环境中)分别对第1组和第2组产生了几乎相同的积极培训效果。

结论

使用充气腹部模型在干式实验室中进行患者准备和对接培训有助于在安全和平静的环境中积累经验。第2组的培训方法可能有助于避免第1组在早期学习曲线阶段患者潜在的较长麻醉时间。