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使用触觉机器人中央静脉置管模拟器培训外科住院医师。

Training Surgical Residents With a Haptic Robotic Central Venous Catheterization Simulator.

机构信息

Department of Mechanical and Nuclear Engineering, Penn State, University Park, Pennsylvania.

Department of Industrial Engineering, Penn State, University Park, Pennsylvania.

出版信息

J Surg Educ. 2017 Nov-Dec;74(6):1066-1073. doi: 10.1016/j.jsurg.2017.06.003. Epub 2017 Jun 20.

Abstract

OJECTIVE

Ultrasound guided central venous catheterization (CVC) is a common surgical procedure with complication rates ranging from 5 to 21 percent. Training is typically performed using manikins that do not simulate anatomical variations such as obesity and abnormal vessel positioning. The goal of this study was to develop and validate the effectiveness of a new virtual reality and force haptic based simulation platform for CVC of the right internal jugular vein.

DESIGN

A CVC simulation platform was developed using a haptic robotic arm, 3D position tracker, and computer visualization. The haptic robotic arm simulated needle insertion force that was based on cadaver experiments. The 3D position tracker was used as a mock ultrasound device with realistic visualization on a computer screen. Upon completion of a practice simulation, performance feedback is given to the user through a graphical user interface including scoring factors based on good CVC practice. The effectiveness of the system was evaluated by training 13 first year surgical residents using the virtual reality haptic based training system over a 3 month period.

RESULTS

The participants' performance increased from 52% to 96% on the baseline training scenario, approaching the average score of an expert surgeon: 98%. This also resulted in improvement in positive CVC practices including a 61% decrease between final needle tip position and vein center, a decrease in mean insertion attempts from 1.92 to 1.23, and a 12% increase in time spent aspirating the syringe throughout the procedure.

CONCLUSIONS

A virtual reality haptic robotic simulator for CVC was successfully developed. Surgical residents training on the simulation improved to near expert levels after three robotic training sessions. This suggests that this system could act as an effective training device for CVC.

摘要

目的

超声引导下中心静脉置管(CVC)是一种常见的手术,其并发症发生率为 5%至 21%。培训通常使用不能模拟肥胖和血管位置异常等解剖变异的模型进行。本研究的目的是开发和验证一种新的虚拟现实和力触觉模拟平台在右颈内静脉 CVC 中的有效性。

设计

使用力触觉机器人手臂、3D 位置跟踪器和计算机可视化技术开发了一种 CVC 模拟平台。力触觉机器人手臂模拟的针插入力是基于尸体实验的。3D 位置跟踪器用作模拟超声设备,在计算机屏幕上进行真实可视化。完成练习模拟后,通过图形用户界面向用户提供性能反馈,包括基于良好 CVC 实践的评分因素。通过在 3 个月的时间内使用虚拟现实力触觉培训系统对 13 名第一年的外科住院医师进行培训,评估该系统的有效性。

结果

参与者在基线培训场景中的表现从 52%提高到 96%,接近专家外科医生的平均得分:98%。这也导致了积极的 CVC 实践的改进,包括最终针尖位置和静脉中心之间的距离减少了 61%,平均插入尝试次数从 1.92 减少到 1.23,以及在整个过程中抽吸注射器的时间增加了 12%。

结论

成功开发了一种用于 CVC 的虚拟现实力触觉模拟器。经过三个机器人培训课程,接受模拟训练的外科住院医师的表现提高到接近专家水平。这表明该系统可以作为 CVC 的有效培训设备。

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