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使用新型力反馈技术评估机器人辅助手术任务中对组织施加的力。

Evaluation of forces applied to tissues during robotic-assisted surgical tasks using a novel force feedback technology.

机构信息

Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.

Department of Urology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.

出版信息

Surg Endosc. 2024 Oct;38(10):6193-6202. doi: 10.1007/s00464-024-11131-z. Epub 2024 Sep 12.

Abstract

BACKGROUND

The absence of force feedback (FFB) is considered a technical limitation in robotic-assisted surgery (RAS). This pre-clinical study aims to evaluate the forces applied to tissues using a novel integrated FFB technology, which allows surgeons to sense forces exerted at the instrument tips.

METHODS

Twenty-eight surgeons with varying experience levels employed FFB instruments to perform three robotic-assisted surgical tasks, including retraction, dissection, and suturing, on inanimate or ex-vivo models, while the instrument sensors recorded and conveyed the applied forces to the surgeon hand controllers of the robotic system. Generalized Estimating Equations (GEE) models were used to analyze the mean and maximal forces applied during each task with the FFB sensor at the "Off" setting compared to the "High" sensitivity setting for retraction and to the "Low", "Medium", and "High" sensitivity settings for dissection and suturing. Sub-analysis was also performed on surgeon experience levels.

RESULTS

The use of FFB at any of the sensitivity settings resulted in a significant reduction in both the mean and maximal forces exerted on tissue during all three robotic-assisted surgical tasks (p < 0.0001). The maximal force exerted, potentially associated with tissue damage, was decreased by 36%, 41%, and 55% with the use of FFB at the "High" sensitivity setting while performing retraction, dissection, and interrupted suturing tasks, respectively. Further, the use of FFB resulted in substantial reductions in force variance during the performance of all three types of tasks. In general, reductions in mean and maximal forces were observed among surgeons at all experience levels. The degree of force reduction depends on the sensitivity setting selected and the types of surgical tasks evaluated.

CONCLUSIONS

Our findings demonstrate that the utilization of FFB technology integrated in the robotic surgical system significantly reduced the forces exerted on tissue during the performance of surgical tasks at all surgeon experience levels. The reduction in the force applied and a consistency of force application achieved with FFB use, could result in decreases in tissue trauma and blood loss, potentially leading to better clinical outcomes in patients undergoing RAS. Future studies will be important to determine the impact of FFB instruments in a live clinical environment.

摘要

背景

力反馈(FFB)的缺失被认为是机器人辅助手术(RAS)中的技术限制。本临床前研究旨在评估使用新型集成 FFB 技术施加到组织上的力,该技术允许外科医生感知器械尖端施加的力。

方法

28 名具有不同经验水平的外科医生使用 FFB 器械在无生命或离体模型上执行三种机器人辅助手术任务,包括牵引、解剖和缝合,同时器械传感器记录并将施加的力传递给机器人系统的外科医生手控器。使用广义估计方程(GEE)模型分析在 FFB 传感器处于“关闭”设置与“高”灵敏度设置(用于牵引)相比,以及在“低”、“中”和“高”灵敏度设置(用于解剖和缝合)下进行每种任务时施加的平均力和最大力。还对外科医生的经验水平进行了子分析。

结果

在任何灵敏度设置下使用 FFB 都会导致在所有三种机器人辅助手术任务中施加到组织的平均力和最大力显著降低(p < 0.0001)。在使用 FFB 进行高灵敏度设置时,在执行牵引、解剖和间断缝合任务时,潜在与组织损伤相关的最大力分别降低了 36%、41%和 55%。此外,在执行所有三种类型的任务时,FFB 的使用导致力的方差显著降低。一般来说,在所有经验水平的外科医生中,平均力和最大力都有所降低。力的降低程度取决于所选择的灵敏度设置和评估的手术任务类型。

结论

我们的研究结果表明,在所有外科医生经验水平下,使用集成在机器人手术系统中的 FFB 技术可显著降低执行手术任务时施加到组织的力。FFB 使用可降低施加的力并实现力施加的一致性,这可能会减少组织创伤和失血,从而改善接受 RAS 的患者的临床结局。未来的研究对于确定 FFB 器械在真实临床环境中的影响将很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a6b/11458697/2f14b1bbbec7/464_2024_11131_Fig1_HTML.jpg

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