Skills training in telerobotic surgery

A Comparative Human-Centric Analysis of Virtual Reality and Dry Lab Training Tasks on the da Vinci Surgical Platform

There is a growing, widespread trend of adopting robot-assisted minimally invasive surgery (RMIS) in clinical care. Dry lab robot training and virtual reality simulation are commonly used to train surgical residents; however, it is unclear whether both types of training are equivalent or can be interchangeable and still achieve the same results in terms of training outcomes. In this paper, we take the first step in comparing the effects of physical and simulated surgical training tasks on human operator kinematics and physiological response to provide a richer understanding of exactly how the user interacts with the actual or simulated surgical robot. Four subjects, with expertise levels ranging from novice to expert surgeon, were recruited to perform three surgical tasks — Continuous Suture, Pick and Place, Tubes, with three repetitions — on two training platforms: (1) the da Vinci Si Skills Simulator and (2) da Vinci S robot, in a randomized order. We collected physiological response and kinematic movement data through body-worn sensors for a total of 72 individual experimental trials. A range of expertise was chosen for this experiment to wash out inherent differences based on expertise and only focus on inherent differences between the virtual reality and dry lab platforms. Our results show significant differences ([Formula: see text]-[Formula: see text]) between tasks done on the simulator and surgical robot. Specifically, robotic tasks resulted in significantly higher muscle activation and path length, and significantly lower economy of volume. The individual tasks also had significant differences in various kinematic and physiological metrics, leading to significant interaction effects between the task type and training platform. These results indicate that the presence of the robotic system may make surgical training tasks more difficult for the human operator. Thus, the potentially detrimental effects of virtual reality training alone are an important topic for future investigation.

Design and evaluation of a trilateral shared-control architecture for teleoperated training robots

Multilateral teleoperated robots can be used to train humans to perform complex tasks that require collaborative interaction and expert supervision, such as laparoscopic surgical procedures. In this paper, we explain the design and performance evaluation of a shared-control architecture that can be used in trilateral teleoperated training robots. The architecture includes dominance and observation factors inspired by the determinants of motor learning in humans, including observational practice, focus of attention, feedback and augmented feedback, and self-controlled practice. Toward the validation of such an architecture, we (1) verify the stability of a trilateral system by applying Llewellyn's criterion on a two-port equivalent architecture, and (2) demonstrate that system transparency remains generally invariant across relevant observation factors and movement frequencies. In a preliminary experimental study, a dyad of two human users (one novice, one expert) collaborated on the control of a robot to follow a trajectory. The experiment showed that the framework can be used to modulate the efforts of the users and adjust the source and level of haptic feedback to the novice user.

A review of training research and virtual reality simulators for the da Vinci surgical system

PHENOMENON: Virtual reality simulators are the subject of several recent studies of skills training for robot-assisted surgery. Yet no consensus exists regarding what a core skill set comprises or how to measure skill performance. Defining a core skill set and relevant metrics would help surgical educators evaluate different simulators.

APPROACH

This review draws from published research to propose a core technical skill set for using the da Vinci surgeon console. Publications on three commercial simulators were used to evaluate the simulators' content addressing these skills and associated metrics.

FINDINGS

An analysis of published research suggests that a core technical skill set for operating the surgeon console includes bimanual wristed manipulation, camera control, master clutching to manage hand position, use of third instrument arm, activating energy sources, appropriate depth perception, and awareness of forces applied by instruments. Validity studies of three commercial virtual reality simulators for robot-assisted surgery suggest that all three have comparable content and metrics. However, none have comprehensive content and metrics for all core skills. INSIGHTS: Virtual reality simulation remains a promising tool to support skill training for robot-assisted surgery, yet existing commercial simulator content is inadequate for performing and assessing a comprehensive basic skill set. The results of this evaluation help identify opportunities and challenges that exist for future developments in virtual reality simulation for robot-assisted surgery. Specifically, the inclusion of educational experts in the development cycle alongside clinical and technological experts is recommended.

Training and learning robotic surgery, time for a more structured approach: a systematic review

BACKGROUND

Robotic assisted laparoscopic surgery is growing rapidly and there is an increasing need for a structured approach to train future robotic surgeons.

OBJECTIVES

To review the literature on training and learning strategies for robotic assisted laparoscopic surgery.

SEARCH STRATEGY

A systematic search of MEDLINE, EMBASE, the Cochrane Library and the Journal of Robotic Surgery was performed.

SELECTION CRITERIA

We included articles concerning training, learning, education and teaching of robotic assisted laparoscopic surgery in any specialism.

DATA COLLECTION AND ANALYSIS

Two authors independently selected articles to be included. We categorised the included articles into: training modalities, learning curve, training future surgeons, curriculum design and implementation.

MAIN RESULTS

We included 114 full text articles. Training modalities such as didactic training, skills training (dry lab, virtual reality, animal or cadaver models), case observation, bedside assisting, proctoring and the mentoring console can be used for training in robotic assisted laparoscopic surgery. Several training programmes in general and specific programmes designed for residents, fellows and surgeons are described in the literature. We provide guidelines for development of a structured training programme.

AUTHORS' CONCLUSIONS

Robotic surgical training consists of system training and procedural training. System training should be formally organised and should be competence based, instead of time based. Virtual reality training will play an import role in the near future. Procedural training should be organised in a stepwise approach with objective assessment of each step. This review aims to facilitate and improve the implementation of structured robotic surgical training programmes.

Training program for fundamental surgical skill in robotic laparoscopic surgery

BACKGROUND

Although the use of robotic laparoscopic surgery has increased in popularity, training protocols for gaining proficiency in robotic surgical skills are not well established. The purpose of this study was to examine a fundamental training program that provides an effective approach to evaluate and improve robotic surgical skills performance using the da Vinci(™) Surgical System.

METHODS

Fifteen medical students without any robotic surgical experience were recruited. Participants went through a 4-day training program for developing fundamental robotic surgical skills and received a retention test 1 day after the completion of training. Data analysis included time to task completion, average speed, total distance traveled and movement curvature of the instrument tips, and muscle activities of the participants' forearms. Surgical performance was graded by the modified Objective Structured Assessment of Technical Skills for robotic laparoscopic surgery. Finally, participants evaluated their own performance after each session through questionnaires.

RESULTS

Significant training effects were shown for the time to task completion (p < 0.001), average speed (p < 0.01), and movement curvature (p < 0.05) for the test conditions. Significant learning effects were also found for EMG activation (p < 0.05). Participants reported more mastery, familiarity, and self-confidence and less difficulty in performing fundamental tasks with the surgical robot in both post-testing and retention sessions.

CONCLUSIONS

Our 4-day training program comprising of a series of training tasks from fundamental to surgical skill levels was effective in improving surgical skills. Further studies are required to verify these findings with a longer period of retention.

Perk Station--Percutaneous surgery training and performance measurement platform

MOTIVATION

Image-guided percutaneous (through the skin) needle-based surgery has become part of routine clinical practice in performing procedures such as biopsies, injections and therapeutic implants. A novice physician typically performs needle interventions under the supervision of a senior physician; a slow and inherently subjective training process that lacks objective, quantitative assessment of the surgical skill and performance. Shortening the learning curve and increasing procedural consistency are important factors in assuring high-quality medical care.

METHODS

This paper describes a laboratory validation system, called Perk Station, for standardized training and performance measurement under different assistance techniques for needle-based surgical guidance systems. The initial goal of the Perk Station is to assess and compare different techniques: 2D image overlay, biplane laser guide, laser protractor and conventional freehand. The main focus of this manuscript is the planning and guidance software system developed on the 3D Slicer platform, a free, open source software package designed for visualization and analysis of medical image data.

RESULTS

The prototype Perk Station has been successfully developed, the associated needle insertion phantoms were built, and the graphical user interface was fully implemented. The system was inaugurated in undergraduate teaching and a wide array of outreach activities. Initial results, experiences, ongoing activities and future plans are reported.

Short-phase training on a virtual reality simulator improves technical performance in tele-robotic surgery

BACKGROUND

The da Vinci tele-robot necessitates the acquisition of new skills and surgical educators must develop standardized training programmes. It is possible that virtual reality (VR) computer simulation maybe used and it is necessary to define whether a simulator is an appropriate tool.

METHODS

Ten surgical novices performed a series of five tasks, ten times on a commercially available VR robotic simulator. Two experts repeated the series of tasks twice in an attempt to validate the simulator.

RESULTS

Each of the five tasks displayed statistically significant learning curves. Error scores did not improve significantly over successive repetitions except in one task. The experts completed two of the tasks in a significantly faster time.

CONCLUSIONS

Practice sessions on a VR simulator improve technical performance. The simulator enables surgeons to mount the early part of the learning curve within a laboratory environment, which may lead to a more effective training programme.