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图像引导全覆盖——TilePro 显示机器人辅助部分肾切除术的三维重建图像。

Image guidance for all--TilePro display of 3-dimensionally reconstructed images in robotic partial nephrectomy.

机构信息

Department of Surgery and Cancer, Imperial College London, London, United Kingdom.

Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom.

出版信息

Urology. 2014 Jul;84(1):237-42. doi: 10.1016/j.urology.2014.02.051. Epub 2014 May 22.

DOI:10.1016/j.urology.2014.02.051
PMID:24857271
Abstract

OBJECTIVE

To determine the feasibility of a novel low-barrier-to-entry image guidance system.

METHODS

Initially a randomized crossover study was performed to establish the interface (iPad or 3-dimensional mouse) that minimized both the amount of time required to perform a manual image registration and the error of that registration. A subsequent clinical feasibility study was undertaken on 5 patients undergoing robot-assisted partial nephrectomy. Randomized crossover study primary outcomes were time to task completion, NASA-Task Load Index score, and alignment error (translational and rotational). The Mann-Whitney U test was used to compare groups. Surgeon feedback was sought when assessing the system in a clinical setting.

RESULTS

In the initial randomized crossover study, the iPad-based system was able to achieve adequate alignment accuracy (Frobenius norm of 0.3; total error of 20.8 mm) in significantly less time (33 seconds; P<.01) than the 3-dimensional mouse interface. The platform received good feedback from the operating surgeon in all instances with the surgeon commenting particularly on the improved appreciation of hilar vascular anatomy.

CONCLUSION

In this study, we have demonstrated the feasibility of a "low-barrier-to-entry" image guidance system in a clinical setting. The system was able to achieve swift and sufficiently accurate alignment, with little impact on the surgical workflow.

摘要

目的

确定一种新型低进入门槛的图像引导系统的可行性。

方法

最初进行了一项随机交叉研究,以确定能够最小化手动图像配准所需时间和配准误差的界面(iPad 或三维鼠标)。随后对 5 名接受机器人辅助部分肾切除术的患者进行了后续的临床可行性研究。随机交叉研究的主要结果是任务完成时间、NASA 任务负荷指数评分和对准误差(平移和旋转)。使用 Mann-Whitney U 检验比较组间差异。在评估系统的临床环境时,寻求外科医生的反馈。

结果

在最初的随机交叉研究中,基于 iPad 的系统能够在显著更短的时间(33 秒;P<.01)内实现足够的对准精度(Frobenius 范数为 0.3;总误差为 20.8 毫米),优于三维鼠标界面。该平台在所有情况下都收到了手术医生的良好反馈,医生特别提到了对肾门血管解剖结构的更好理解。

结论

在这项研究中,我们已经在临床环境中证明了一种“低进入门槛”图像引导系统的可行性。该系统能够快速且足够准确地对准,对手术流程的影响很小。

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