Body-mounted robotic instrument guide for image-guided cryotherapy of renal cancer.

IF 0.8 4区 经济学 Q4 BUSINESS, FINANCE Journal of Computational Finance Pub Date : 2016-02-01 DOI:10.1118/1.4939875
Nobuhiko Hata, Sang-Eun Song, Olutayo Olubiyi, Yasumichi Arimitsu, Kosuke Fujimoto, Takahisa Kato, Kemal Tuncali, Soichiro Tani, Junichi Tokuda
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引用次数: 22

Abstract

Purpose: Image-guided cryotherapy of renal cancer is an emerging alternative to surgical nephrectomy, particularly for those who cannot sustain the physical burden of surgery. It is well known that the outcome of this therapy depends on the accurate placement of the cryotherapy probe. Therefore, a robotic instrument guide may help physicians aim the cryotherapy probe precisely to maximize the efficacy of the treatment and avoid damage to critical surrounding structures. The objective of this paper was to propose a robotic instrument guide for orienting cryotherapy probes in image-guided cryotherapy of renal cancers. The authors propose a body-mounted robotic guide that is expected to be less susceptible to guidance errors caused by the patient's whole body motion.

Methods: Keeping the device's minimal footprint in mind, the authors developed and validated a body-mounted, robotic instrument guide that can maintain the geometrical relationship between the device and the patient's body, even in the presence of the patient's frequent body motions. The guide can orient the cryotherapy probe with the skin incision point as the remote-center-of-motion. The authors' validation studies included an evaluation of the mechanical accuracy and position repeatability of the robotic instrument guide. The authors also performed a mock MRI-guided cryotherapy procedure with a phantom to compare the advantage of robotically assisted probe replacements over a free-hand approach, by introducing organ motions to investigate their effects on the accurate placement of the cryotherapy probe. Measurements collected for performance analysis included accuracy and time taken for probe placements. Multivariate analysis was performed to assess if either or both organ motion and the robotic guide impacted these measurements.

Results: The mechanical accuracy and position repeatability of the probe placement using the robotic instrument guide were 0.3 and 0.1 mm, respectively, at a depth of 80 mm. The phantom test indicated that the accuracy of probe placement was significantly better with the robotic instrument guide (4.1 mm) than without the guide (6.3 mm, p<0.001), even in the presence of body motion. When independent organ motion was artificially added, in addition to body motion, the advantage of accurate probe placement using the robotic instrument guide disappeared statistically [i.e., 6.0 mm with the robotic guide and 5.9 mm without the robotic guide (p = 0.906)]. When the robotic instrument guide was used, the total time required to complete the procedure was reduced from 19.6 to 12.7 min (p<0.001). Multivariable analysis indicated that the robotic instrument guide, not the organ motion, was the cause of statistical significance. The statistical power the authors obtained was 88% in accuracy assessment and 99% higher in duration measurement.

Conclusions: The body-mounted robotic instrument guide allows positioning of the probe during image-guided cryotherapy of renal cancer and was done in fewer attempts and in less time than the free-hand approach. The accuracy of the placement of the cryotherapy probe was better using the robotic instrument guide than without the guide when no organ motion was present. The accuracy between the robotic and free-hand approach becomes comparable when organ motion was present.

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影像引导肾癌冷冻治疗的身体安装机器人仪器指南。
目的:图像引导下的肾癌冷冻治疗是一种新兴的替代手术肾切除术的方法,特别是对于那些无法承受手术的身体负担的患者。众所周知,这种治疗的结果取决于冷冻治疗探针的准确放置。因此,机器人仪器引导可以帮助医生精确地瞄准冷冻治疗探针,以最大限度地提高治疗效果,避免损伤关键的周围结构。本文的目的是提出一种机器人仪器指南,用于在肾癌图像引导冷冻治疗中定向冷冻治疗探针。作者提出了一种安装在身体上的机器人导尿管,这种导尿管不太容易受到病人全身运动引起的导尿管误差的影响。方法:考虑到设备的最小占地面积,作者开发并验证了一种安装在身体上的机器人仪器指南,即使在患者频繁的身体运动存在的情况下,也能保持设备和患者身体之间的几何关系。该导向器能以皮肤切口点为遥控运动中心,对冷冻治疗探头进行定向。作者的验证研究包括对机器人仪器导轨的机械精度和位置可重复性的评估。作者还使用假体进行了模拟mri引导的冷冻治疗过程,通过引入器官运动来研究它们对冷冻治疗探针精确放置的影响,以比较机器人辅助探针替代与徒手方法的优势。为性能分析收集的测量数据包括探头放置的精度和时间。进行多变量分析以评估器官运动和机器人引导是否影响这些测量。结果:在深度为80 mm时,机器人仪器导轨放置探针的机械精度为0.3 mm,位置重复性为0.1 mm。假体试验表明,使用机器人器械引导器(4.1 mm)的探针放置精度明显优于不使用机器人器械引导器(6.3 mm)的探针放置精度。结论:在图像引导的肾癌冷冻治疗中,安装在身体上的机器人器械引导器可以定位探针,并且比徒手方法需要更少的尝试和更短的时间。在无器官运动的情况下,使用机械器械引导器放置冷冻探针的准确性优于不使用机械器械引导器。当存在器官运动时,机器人方法和徒手方法之间的精度变得相当。
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CiteScore
0.90
自引率
0.00%
发文量
8
期刊介绍: The Journal of Computational Finance is an international peer-reviewed journal dedicated to advancing knowledge in the area of financial mathematics. The journal is focused on the measurement, management and analysis of financial risk, and provides detailed insight into numerical and computational techniques in the pricing, hedging and risk management of financial instruments. The journal welcomes papers dealing with innovative computational techniques in the following areas: Numerical solutions of pricing equations: finite differences, finite elements, and spectral techniques in one and multiple dimensions. Simulation approaches in pricing and risk management: advances in Monte Carlo and quasi-Monte Carlo methodologies; new strategies for market factors simulation. Optimization techniques in hedging and risk management. Fundamental numerical analysis relevant to finance: effect of boundary treatments on accuracy; new discretization of time-series analysis. Developments in free-boundary problems in finance: alternative ways and numerical implications in American option pricing.
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