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迈向图像引导机器人手术:系统验证。

Toward image guided robotic surgery: system validation.

作者信息

Herrell Stanley D, Kwartowitz David Morgan, Milhoua Paul M, Galloway Robert L

机构信息

Department of Urology Surgery, Vanderbilt University, Nashville, Tennessee, USA.

出版信息

J Urol. 2009 Feb;181(2):783-9; discussion 789-90. doi: 10.1016/j.juro.2008.10.022. Epub 2008 Dec 16.

Abstract

PURPOSE

Navigation for current robotic assisted surgical techniques is primarily accomplished through a stereo pair of laparoscopic camera images. These images provide standard optical visualization of the surface but provide no subsurface information. Image guidance methods allow the visualization of subsurface information to determine the current position in relationship to that of tracked tools.

MATERIALS AND METHODS

A robotic image guided surgical system was designed and implemented based on our previous laboratory studies. A series of experiments using tissue mimicking phantoms with injected target lesions was performed. The surgeon was asked to resect "tumor" tissue with and without the augmentation of image guidance using the da Vinci robotic surgical system. Resections were performed and compared to an ideal resection based on the radius of the tumor measured from preoperative computerized tomography. A quantity called the resection ratio, that is the ratio of resected tissue compared to the ideal resection, was calculated for each of 13 trials and compared.

RESULTS

The mean +/- SD resection ratio of procedures augmented with image guidance was smaller than that of procedures without image guidance (3.26 +/- 1.38 vs 9.01 +/- 1.81, p <0.01). Additionally, procedures using image guidance were shorter (average 8 vs 13 minutes).

CONCLUSIONS

It was demonstrated that there is a benefit from the augmentation of laparoscopic video with updated preoperative images. Incorporating our image guided system into the da Vinci robotic system improved overall tissue resection, as measured by our metric. Adding image guidance to the da Vinci robotic surgery system may result in the potential for improvements such as the decreased removal of benign tissue while maintaining an appropriate surgical margin.

摘要

目的

当前机器人辅助手术技术的导航主要通过一对腹腔镜摄像头的立体图像来完成。这些图像提供了表面的标准光学可视化,但没有提供表面下的信息。图像引导方法允许可视化表面下的信息,以确定相对于跟踪工具的当前位置。

材料与方法

基于我们之前的实验室研究,设计并实施了一种机器人图像引导手术系统。使用注入了目标病变的组织模拟体模进行了一系列实验。要求外科医生使用达芬奇机器人手术系统在有和没有图像引导增强的情况下切除“肿瘤”组织。进行切除操作,并与根据术前计算机断层扫描测量的肿瘤半径得出的理想切除结果进行比较。为13次试验中的每一次计算一个称为切除率的量,即切除组织与理想切除组织的比率,并进行比较。

结果

有图像引导增强的手术的平均±标准差切除率低于没有图像引导的手术(3.26±1.38对9.01±1.81,p<0.01)。此外,使用图像引导的手术时间更短(平均8分钟对13分钟)。

结论

结果表明更新的术前图像增强腹腔镜视频是有益的。根据我们的指标衡量,将我们的图像引导系统整合到达芬奇机器人系统中可改善整体组织切除。在达芬奇机器人手术系统中添加图像引导可能会带来一些潜在的改进,例如在保持适当手术切缘的同时减少良性组织的切除。

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