Advancing Surgical Simulation in Gynecologic Oncology: Robotic Dissection of a Novel Pelvic Lymphadenectomy Model

How to reduce intraoperative preparation and docking time to minimal in a team with a robotic naïve surgical experience?

Purpose

To evaluate the effect of preoperative training in an experimental setting on the preparation and docking of the avatera robotic system.

Materials and Methods

Two different surgical groups (consisting of two nurses, one assistant, and one operating surgeon) attended an initial training on robot draping and docking procedures. Group 1 was involved in 10 robotic-assisted operations while Group 2 was trained in the dry lab using an artificial insufflated abdominal model (10 sessions). The decrease in time needed for docking and draping was evaluated. After the completion of the initial training, each group performed docking and draping procedures in five surgeries (including robotic-assisted radical prostatectomy and pyeloplasty) and the recorded times were compared.

Results

In Group 1, the docking and draping time were diminished during the initial training program from 17 to 7 min and from 12 to 5 min, respectively. In Group 2, the docking time was decreased from 9 to 6 min and the draping time from 8 to 5 min. Both types of training (during real-life OR program vs. dry laboratory setting inclusive an insufflated abdominal model) resulted in nearly the same positive training effect for Group 1 and Group 2, respectively.

Conclusions

Conducing a training of patient preparation and docking in the dry laboratory using an insufflated abdominal model facilitates experience acquisition in a safe and calm environment. The training method of Group 2 might help to avoid the potentially longer anesthesia times for patients during the early learning curve of Group 1.

Validation of a Simulation Model for Robotic Myomectomy

STUDY OBJECTIVE

Several simulation models have been evaluated for gynecologic procedures such as hysterectomy, but there are limited published data for myomectomy. This study aimed to assess the validity of a low-cost robotic myomectomy model for surgical simulation training.

DESIGN

Prospective cohort simulation study.

SETTING

Surgical simulation laboratory.

PARTICIPANTS

Twelve obstetrics and gynecology residents and 4 fellowship-trained minimally invasive gynecologic surgeons were recruited for a 3:1 novice-to-expert ratio.

INTERVENTIONS

A robotic myomectomy simulation model was constructed using <$5 worth of materials: a foam cylinder, felt, a stress ball, bandage wrap, and multipurpose sealing wrap. Participants performed a simulation task involving 2 steps: fibroid enucleation and hysterotomy repair. Video-recorded performances were timed and scored by 2 blinded reviewers using the validated Global Evaluative Assessment of Robotic Skills (GEARS) scale (5-25 points) and a modified GEARS scale (5-40 points), which adds 3 novel domains specific to robotic myomectomy. Performance was also scored using predefined task errors. Participants completed a post-task questionnaire assessing the model's realism and utility.

MEASUREMENTS AND MAIN RESULTS

Median task completion time was shorter for experts than novices (9.7 vs 24.6 min, p = .001). Experts scored higher than novices on both the GEARS scale (median 23 vs 12, p = .004) and modified GEARS scale (36 vs 20, p = .004). Experts made fewer task errors than novices (median 15.5 vs 37.5, p = .034). For interrater reliability of scoring, the intraclass correlation coefficient was calculated to be 0.91 for the GEARS assessment, 0.93 for the modified GEARS assessment, and 0.60 for task errors. Using the contrasting groups method, the passing mark for the simulation task was set to a minimum modified GEARS score of 28 and a maximum of 28 errors. Most participants agreed that the model was realistic (62.5%) and useful for training (93.8%).

CONCLUSION

We have demonstrated evidence supporting the validity of a low-cost robotic myomectomy model. This simulation model and the performance assessments developed in this study provide further educational tools for robotic myomectomy training.

Model Development of a Novel Robotic Surgery Training Exercise With Electrocautery

Robot-assisted surgery (RAS) has undergone rapid adoption in general surgery due to features such as three-dimensional visualization, wrist dexterity, improved precision of movement, and operator ergonomics. While many surgical trainees encounter RAS during their residency, robotic skills training programs and curricula vary across institutions and there is broad variation in graduating general surgeons’ robotic proficiency levels. Due to a need for a formalized process to achieve competence on the robotic platform, simulation-based training has become instrumental in closing this gap as it provides training in a low-stakes environment while allowing the trainee to improve their psychomotor and basic procedural skills.

Several different models of simulation training exist including virtual reality, animal, cadaveric, and inanimate tissue platforms. Each form of training has its own merits and limitations. While virtual reality platforms have been well evaluated for face, content, and construct validity, their initial set-up costs can be as high as $125,000. Similarly, animal and cadaveric models are not only costly but also have ethical considerations that may preclude participation. There is an unmet need in developing high-fidelity, cost-effective simulations for basic videoscopic skills such as cautery use.

We developed a cost-effective and high-fidelity inanimate tissue model that incorporates electrocautery. Using a double-layered bowel model secured to a moistened household sponge, this inanimate exercise simulates fundamental skills of robotic surgery such as tissue handling, camera control, suturing, and electrocautery.

Validation of a three-dimensional printed dry lab pancreaticojejunostomy model in surgical assessment: a cross-sectional study

OBJECTIVES

Until now, there have been few tools to evaluate whether a surgeon was technically ready to perform a safe pancreaticojejunostomy (PJ). In the current study, we aimed to evaluate whether a three-dimensional model could mimic a real surgical situation and distinguish between surgeons of different levels of experiences.

DESIGN

A three-dimensional PJ dry laboratory model was printed. Eight experienced pancreatic surgeons were tasked to evaluate the appearance and tactile sensation of the model. Proficiency was scored based on 15 surgeons with various levels of pancreatic experience performing a PJ on the three-dimensional model. Additionally, the time of manipulation and NASA Task Load Index (NASA-TLX) scores were recorded for each operation.

SETTING

Our study was conducted in multimedical centre in China.

RESULTS

Compared with real surgical situations, this model had similar appearance (3.96±0.55 out of five points) and tactile sensation (3.85±0.46 out of five points) according to the expert evaluation. Additionally, the chief surgeon group scored the best in proficiency (based on NASA-TLX scores and operative time), and there were statistical differences for performances among surgeons of various levels (p<0.05).

CONCLUSION

The three-dimensional PJ model could mimic a real surgical situation and can distinguish between surgeons of different levels of experiences.

A review of simulation training and new 3D computer-generated synthetic organs for robotic surgery education

We conducted a comprehensive review of surgical simulation models used in robotic surgery education. We present an assessment of the validity and cost-effectiveness of virtual and augmented reality simulation, animal, cadaver and synthetic organ models. Face, content, construct, concurrent and predictive validity criteria were applied to each simulation model. There are six major commercial simulation machines available for robot-assisted surgery. The validity of virtual reality (VR) simulation curricula for psychomotor assessment and skill acquisition for the early phase of robotic surgery training has been demonstrated. The widespread adoption of VR simulation has been limited by the high cost of these machines. Live animal and cadavers have been the accepted standard for robotic surgical simulation since it began in the early 2000s. Our review found that there is a lack of evidence in the literature to support the use of animal and cadaver for robotic surgery training. The effectiveness of these models as a training tool is limited by logistical, ethical, financial and infection control issues. The latest evolution in synthetic organ model training for robotic surgery has been driven by new 3D-printing technology. Validated and cost-effective high-fidelity procedural models exist for robotic surgery training in urology. The development of synthetic models for the other specialties is not as mature. Expansion into multiple surgical disciplines and the widespread adoption of synthetic organ models for robotic simulation training will require the ability to engineer scalability for mass production. This would enable a transition in robotic surgical education where digital and synthetic organ models could be used in place of live animals and cadaver training to achieve robotic surgery competency.

Virtual reality robotic surgery simulation curriculum to teach robotic suturing: a randomized controlled trial

The objective of this randomized, controlled trial was to assess whether voluntary participation in a proctored, proficiency-based, virtual reality robotic suturing curriculum using the da Vinci(®) Skills Simulator™ improves robotic suturing performance. Residents and attending surgeons were randomized to participation or non-participation during a 5 week training curriculum. Robotic suturing skills were evaluated before and after training using an inanimate vaginal cuff model, which participants sutured for 10 min using the da Vinci(®) Surgical System. Performances were videotaped, anonymized, and subsequently graded independently by three robotic surgeons. 27 participants were randomized. 23 of the 27 completed both the pre- and post-test, 13 in the training group and 10 in the control group. Mean training time in the intervention group was 238 ± 136 min (SD) over the 5 weeks. The primary outcome (improvement in GOALS+ score) and the secondary outcomes (improvement in GEARS, total knots, satisfactory knots, and the virtual reality suture sponge 1 task) were significantly greater in the training group than the control group in unadjusted analysis. After adjusting for lower baseline scores in the training group, improvement in the suture sponge 1 task remained significantly greater in the training group and a trend was demonstrated to greater improvement in the training group for the GOALS+ score, GEARS score, total knots, and satisfactory knots.