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经实时触觉碰撞感知系统实现经口机器人手术技能提升。

Transoral Robotic Surgical Proficiency Via Real-Time Tactile Collision Awareness System.

机构信息

Department of Head and Neck Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, U.S.A.

Department of Surgery, Center for Advanced Surgical and Interventional Technology, David Geffen School of Medicine, Los Angeles, California, U.S.A.

出版信息

Laryngoscope. 2020 Dec;130 Suppl 6:S1-S17. doi: 10.1002/lary.29034. Epub 2020 Aug 31.

Abstract

OBJECTIVES

In 2009, the Food and Drug Administration approved the use of the surgical robotic system for removal of benign and malignant conditions of the upper aerodigestive tract. This novel application of robotic-assisted surgery, termed transoral robotic surgery (TORS), places robotic instruments and camera system through the mouth to reach recessed areas of the pharynx and larynx. Over the successive decade, there was a rapid adoption of TORS with a surgical growth rate that continues to increase. Despite the rapid clinical acceptance, the field of TORS has not yet seen substantive changes or advances in the technical shortcomings, the lack of which has restricted objective TORS-specific surgical skills assessment as well as subsequent skills improvement efforts. One of the primary technical challenges of TORS is operating in a confined space, where the robotic system is maneuvered within the restrictive boundaries of the mouth and throat. Due to these confined boundaries of the pharynx, instruments can frequently collide with anatomic structures such as teeth and bone, producing anatomic collisions. Therefore, we hypothesized that anatomic collisions negatively impact TORS surgical performance. Secondarily, we hypothesized that avoidance of unwanted anatomic collisions could improve TORS surgical proficiency.

METHODS

Design and fidelity testing for a custom TORS training platform with an integrated anatomic collision-sensing system providing real-time tactile feedback is described. Following successful platform assembly and testing, validation study using the platform was carried through prospective surgical training with trial randomization. Twenty otolaryngology-head and neck surgery residents, each trainee performing three discrete mock surgical trials (n = 60), performed the initial system validation. Ten of the 20 residents were randomized to perform the surgical trials utilizing the real-time feedback system. The remaining 10 residents were randomized to perform the surgical trials without the feedback system, although the system still could record collision data. Surgical proficiency was measured by Global Evaluative Assessment of Robotic Skills (GEARS) score, time to completion, and tumor resection scores (categorical scale ranging 0-3, describing the adequacy of resection).

RESULTS

Major anatomic collisions (greater than 5N of force) negatively affected GEARS robotic skills. A mixed model analysis demonstrated that for every additional occurrence of a major collision, GEARS robotic skills assessment score would decrease by 0.29 points (P = .04). Real-time collision awareness created significantly fewer major (> 5 N) anatomic collisions with the tactile feedback system active (n = 30, mean collisions = 2.9 ± 4.2) as compared with trials without tactile feedback (n = 30, mean collisions = 12.53 ± 23.23) (P < .001). The second assessment measure of time to completion was unaffected by the presence of collisions or by the use of tactile feedback system. The third proficiency assessment was measured with tumor resection grading. Tumor resection scores was significantly (P = .02) improved with collision awareness system activated than trials without collision awareness.

CONCLUSION

In order to test our primary hypothesis, a novel TORS training platform was successfully developed that provides collision force measurements including frequency, severity, and duration of anatomic collisions. Additionally, the platform was modulated to provide real-time tactile feedback of the occurrence of out-of-field collisions. Utilizing this custom platform, our hypothesis that anatomic collisions during TORS diminishes surgical performance was supported. Additionally, our secondary hypothesis that subsequent reduction of anatomic collisions improves TORS proficiency was supported by the surgical trial. Dedicated investigation to characterize the effect size and clinical impact is required in order to translate this finding into training curriculums and into clinical utilization.

LEVEL OF EVIDENCE

II (Randomized trial) Laryngoscope, 130:S1-S17, 2020.

摘要

目的

2009 年,食品和药物管理局批准使用手术机器人系统切除上呼吸道的良性和恶性病变。这种机器人辅助手术的新应用,称为经口机器人手术(TORS),将机器人器械和摄像系统通过口腔进入咽和喉的隐蔽部位。在随后的十年中,TORS 的应用迅速普及,手术增长率持续上升。尽管临床接受速度很快,但 TORS 领域在技术缺陷方面尚未出现实质性变化或进展,这些缺陷限制了客观的 TORS 特定手术技能评估以及随后的技能改进工作。TORS 的主要技术挑战之一是在有限的空间内操作,机器人系统在口腔和喉咙的限制边界内进行操作。由于咽的这些限制边界,器械经常与牙齿和骨骼等解剖结构发生碰撞,产生解剖碰撞。因此,我们假设解剖碰撞会对 TORS 手术性能产生负面影响。其次,我们假设避免不必要的解剖碰撞可以提高 TORS 手术的熟练程度。

方法

描述了一种定制的 TORS 培训平台的设计和保真度测试,该平台具有集成的解剖碰撞感应系统,可提供实时触觉反馈。在成功组装和测试平台后,通过前瞻性手术培训和试验随机化进行了验证研究。20 名耳鼻喉头颈外科住院医师,每位受训者进行三次离散模拟手术试验(n = 60),进行了初始系统验证。20 名住院医师中的 10 名随机使用实时反馈系统进行手术试验。其余 10 名住院医师随机进行手术试验,但不使用反馈系统,尽管系统仍可以记录碰撞数据。手术熟练度通过全球机器人技能评估(GEARS)评分、完成时间和肿瘤切除评分(分类量表范围为 0-3,描述切除的充分性)进行测量。

结果

主要解剖碰撞(大于 5N 的力)会降低 GEARS 机器人技能。混合模型分析表明,每次发生额外的主要碰撞,GEARS 机器人技能评估得分将降低 0.29 分(P =.04)。使用触觉反馈系统时,实时碰撞感知可显著减少主要(>5N)解剖碰撞的发生(n = 30,平均碰撞次数 = 2.9±4.2),而无触觉反馈时(n = 30,平均碰撞次数 = 12.53±23.23)(P <.001)。完成时间的第二个评估指标不受碰撞的存在或触觉反馈系统的使用影响。第三个熟练程度评估是通过肿瘤切除分级进行的。肿瘤切除评分(P =.02)随着碰撞感知系统的激活而显著提高,而无碰撞感知的评分则较低。

结论

为了检验我们的主要假设,成功开发了一种新型 TORS 培训平台,该平台可提供解剖碰撞力测量,包括频率、严重程度和持续时间。此外,该平台被调制以提供实时触觉反馈,以感知场外碰撞的发生。利用这个定制的平台,我们关于 TORS 过程中解剖碰撞会降低手术性能的假设得到了支持。此外,我们关于减少解剖碰撞可以提高 TORS 熟练程度的次要假设也得到了手术试验的支持。为了将这一发现转化为培训课程和临床应用,需要专门研究以确定其效应大小和临床影响。

证据水平

II(随机试验)喉镜,130:S1-S17,2020 年。

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