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模拟视频辅助胸腔镜肺叶切除术:虚拟现实认知任务模拟。

Simulating video-assisted thoracoscopic lobectomy: a virtual reality cognitive task simulation.

机构信息

Department of Cardiothoracic Surgery, New York University School of Medicine, New York, NY, USA.

出版信息

J Thorac Cardiovasc Surg. 2011 Jan;141(1):249-55. doi: 10.1016/j.jtcvs.2010.09.014.

Abstract

OBJECTIVE

Current video-assisted thoracoscopic surgery training models rely on animals or mannequins to teach procedural skills. These approaches lack inherent teaching/testing capability and are limited by cost, anatomic variations, and single use. In response, we hypothesized that video-assisted thoracoscopic surgery right upper lobe resection could be simulated in a virtual reality environment with commercial software.

METHODS

An anatomy explorer (Maya [Autodesk Inc, San Rafael, Calif] models of the chest and hilar structures) and simulation engine were adapted. Design goals included freedom of port placement, incorporation of well-known anatomic variants, teaching and testing modes, haptic feedback for the dissection, ability to perform the anatomic divisions, and a portable platform.

RESULTS

Preexisting commercial models did not provide sufficient surgical detail, and extensive modeling modifications were required. Video-assisted thoracoscopic surgery right upper lobe resection simulation is initiated with a random vein and artery variation. The trainee proceeds in a teaching or testing mode. A knowledge database currently includes 13 anatomic identifications and 20 high-yield lung cancer learning points. The "patient" is presented in the left lateral decubitus position. After initial camera port placement, the endoscopic view is displayed and the thoracoscope is manipulated via the haptic device. The thoracoscope port can be relocated; additional ports are placed using an external "operating room" view. Unrestricted endoscopic exploration of the thorax is allowed. An endo-dissector tool allows for hilar dissection, and a virtual stapling device divides structures. The trainee's performance is reported.

CONCLUSIONS

A virtual reality cognitive task simulation can overcome the deficiencies of existing training models. Performance scoring is being validated as we assess this simulator for cognitive and technical surgical education.

摘要

目的

目前的胸腔镜手术培训模型依赖于动物或模拟人来教授程序技能。这些方法缺乏内在的教学/测试能力,并且受到成本、解剖差异和单次使用的限制。有鉴于此,我们假设可以在虚拟现实环境中使用商业软件模拟胸腔镜手术右上叶切除术。

方法

对解剖探险家(Maya [Autodesk Inc,加利福尼亚州圣拉斐尔]的胸部和肺门结构模型)和模拟引擎进行了调整。设计目标包括端口放置的自由度、包含众所周知的解剖变异、教学和测试模式、解剖分离的触觉反馈、进行解剖分离的能力以及便携式平台。

结果

现有的商业模型没有提供足够的手术细节,因此需要进行广泛的建模修改。胸腔镜手术右上叶切除术模拟从随机的静脉和动脉变异开始。学员可以在教学或测试模式下进行操作。目前,知识库包括 13 种解剖识别和 20 个高收益的肺癌学习要点。“患者”呈左侧卧位。初始放置摄像端口后,显示内窥镜视图,并通过触觉设备操纵胸腔镜。可以重新定位胸腔镜端口;使用外部“手术室”视图放置其他端口。允许不受限制地进行内窥镜胸部探查。Endo-dissector 工具可用于肺门解剖,虚拟吻合器可用于分离结构。记录学员的表现。

结论

虚拟现实认知任务模拟可以克服现有培训模型的不足。我们正在评估该模拟器的认知和技术外科教育,以验证绩效评分。

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