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探索使用驾驶模拟来改进机器人手术模拟器培训:一项观察性病例对照研究。

Exploring the use of driving simulation to improve robotic surgery simulator training: an observational case-control study.

机构信息

Department of Urology, ZhongNan Hospital, Wuhan University, No. 169 Donghu Road, Wuhan, 430071, Hubei, China.

Medicine-Remote Mapping Associated Laboratory, Wuhan University, No. 169 Donghu Road, Wuhan, 430071, Hubei, China.

出版信息

J Robot Surg. 2023 Oct;17(5):2177-2185. doi: 10.1007/s11701-023-01641-8. Epub 2023 Jun 3.

Abstract

The correlation between driving skills and the ability to perform robotic surgery have not yet been discussed. Therefore, this study aimed to investigate the impact of driving skills on learning robotic surgery using a driving simulator and a robotic simulator. Sixty robot- and simulator-naïve participants were recruited: 30 with a driver's license and 30 without a driver's license. All participants completed a test on the driving simulator and learned four tasks using a robotic surgical simulator (dV-Trainer). On the driving simulator, the lap time in the driver's license group (D-Group) was significantly lower than that in the non-driver's license group (ND-Group) [217.93 ± 42.79 s vs. 271.24 ± 46.63 s, P < 0.001]. The average number of tires off track in the D-Group was lower than that in the ND-Group (0.13 ± 0.35 vs. 0.57 ± 0.63, P = 0.002). The baseline score of the D-Group on the robotic simulator was higher than that of the ND-Group (467.53 ± 107.62 vs. 385.53 ± 136.30, P = 0.022). In the Pick-and-Place-Clutching, Peg-Board-2, and Thread-the-Rings-1 tasks, the learning curve of the D-Group was steeper than that of the ND-Group. However, no significant difference was observed in the Match-Board-2 task. According to the lap time ranking, participants in the top tertile had a steeper learning curve than those in the bottom tertile, especially for the Pick-and-Place-Clutching and Peg-Board-2 tasks (P < 0.05). Significant differences were also found in the baseline and final stages of the Thread-the-Rings-1 task and in the initial stage of the Match-Board-2 task (P < 0.05). Students with a driver's license or better performance in racing games had more success in learning robotic surgery. Driving simulators may promote robotic surgery training.

摘要

驾驶技能与机器人手术能力之间的相关性尚未得到讨论。因此,本研究旨在使用驾驶模拟器和机器人模拟器来调查驾驶技能对机器人手术学习的影响。招募了 60 名对机器人和模拟器均无经验的参与者:30 名有驾驶执照,30 名无驾驶执照。所有参与者都完成了驾驶模拟器的测试,并使用机器人手术模拟器(dV-Trainer)学习了四项任务。在驾驶模拟器中,有驾驶执照组(D 组)的圈速时间明显低于无驾驶执照组(ND 组)[217.93 ± 42.79 s 比 271.24 ± 46.63 s,P < 0.001]。D 组的轮胎偏离赛道的平均次数少于 ND 组(0.13 ± 0.35 比 0.57 ± 0.63,P = 0.002)。机器人模拟器的 D 组基线分数高于 ND 组(467.53 ± 107.62 比 385.53 ± 136.30,P = 0.022)。在取放离合器、钉板 2 和穿环 1 任务中,D 组的学习曲线比 ND 组陡峭。然而,在匹配板 2 任务中,没有观察到显著差异。根据圈速排名,前三分位数的参与者的学习曲线比后三分位数的参与者更陡峭,尤其是在取放离合器和钉板 2 任务中(P < 0.05)。在穿环 1 任务的基线和最终阶段以及匹配板 2 任务的初始阶段也发现了显著差异(P < 0.05)。有驾驶执照或在赛车游戏中表现更好的学生在学习机器人手术方面更成功。驾驶模拟器可能促进机器人手术培训。

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