A model for predicting the GEARS score from virtual reality surgical simulator metrics.

BACKGROUND: Surgical education relies heavily upon simulation. Assessment tools include robotic simulator assessments and Global Evaluative Assessment of Robotic Skills (GEARS) metrics, which have been validated. Training programs use GEARS for proficiency testing; however, it requires a trained human evaluator. Due to limited time, learners are reliant on surgical simulator feedback to improve their skills. GEARS and simulator scores have been shown to be correlated but in what capacity is unknown. Our goal is to develop a model for predicting GEARS score using simulator metrics. METHODS: Linear and multivariate logistic regressions were used on previously reported data by this group. Subjects performed simple (Ring and Rail 1) and complex (Suture Sponge 1) tasks on simulators, the dV-Trainer (dVT) and the da Vinci Skills Simulator (dVSS). They were scored via simulator metrics and GEARS. RESULTS: A linear model for each simulator and exercise showed a positive linear correlation. Equations were developed for predicting GEARS Total Score from simulator Overall Score. Next, the effects of each individual simulator metric on the GEARS Total Score for each simulator and exercise were examined. On the dVSS, Excessive Instrument Force was significant for Ring and Rail 1 and Instrument Collision was significant for Suture Sponge 1. On the dVT, Time to Complete was significant for both exercises. Once the significant variables were identified, multivariate models were generated. Comparing the predicted GEARS Total Score from the linear model (using only simulator Overall Score) to that using the multivariate model (using the significant variables for each simulator and exercise), the results were similar. CONCLUSIONS: Our results suggest that trainees can use simulator Overall Score to predict GEARS Total Score using our linear regression equations. This can improve the training process for those preparing for high-stakes assessments.

Alternatives to excisional therapy: a clinical review of our current options to conservatively manage symptomatic leiomyomas.

PURPOSE OF REVIEW: This article provides a clinical review of the alternatives to traditional excisional surgical therapies for uterine leiomyomas, such as myomectomy or hysterectomy. RECENT FINDINGS: In this review, currently available hormonal medications will be briefly discussed. Then, nonhormonal medical therapy will be addressed with respect to mechanism of action, safety, and efficacy. Finally, the risk-benefit profile of nonexcisional procedures for management of leiomyomas will be addressed. SUMMARY: This provides an update on the information available for more conservative options for symptomatic leiomyoma management.

Surgical Findings and Outcomes in Premenopausal Breast Cancer Patients Undergoing Oophorectomy: A Multicenter Review From the Society of Gynecologic Surgeons Fellows Pelvic Research Network.

STUDY OBJECTIVE: To describe the procedures performed, intra-abdominal findings, and surgical pathology in a cohort of women with premenopausal breast cancer who underwent oopherectomy. DESIGN: Multicenter retrospective chart review (Canadian Task Force classification II-3). SETTING: Nine US academic medical centers participating in the Fellows' Pelvic Research Network (FPRN). PATIENTS: One hundred twenty-seven women with premenopausal breast cancer undergoing oophorectomy between January 2013 and March 2016. INTERVENTION: Surgical castration. MEASUREMENTS AND MAIN RESULTS: The mean patient age was 45.8 years. Fourteen patients (11%) carried a BRCA mutations, and 22 (17%) carried another germline or acquired mutation, including multiple variants of uncertain significance. There was wide variation in surgical approach. Sixty-five patients (51%) underwent pelvic washings, and 43 (35%) underwent concurrent hysterectomy. Other concomitant procedures included midurethral sling placement, appendectomy, and hysteroscopy. Three patients experienced complications (transfusion, wound cellulitis, and vaginal cuff dehiscence). Thirteen patients (10%) had ovarian pathology detected on analysis of the surgical specimen, including metastatic tumor, serous cystadenomas, endometriomas, and Brenner tumor. Eight patients (6%) had Fallopian tube pathology, including 3 serous tubal intraepithelial cancers. Among the 44 uterine specimens, 1 endometrial adenocarcinoma and 1 multifocal endometrial intraepithelial neoplasia were noted. Regarding the entire study population, the number of patients meeting our study criteria and seen by gynecologic surgeons in the FPRN for oophorectomy increased by nearly 400% from 2013 to 2015. CONCLUSION: Since publication of the Suppression of Ovarian Function Trial data, bilateral oophorectomy has been recommended for some women with premenopausal breast cancer to facilitate breast cancer treatment with aromatase inhibitors. These women may be at elevated risk for occult abdominal pathology compared with the general population. Gynecologic surgeons often perform castration oophorectomy in patients with breast cancer as an increasing number of oncologists are using aromatase inhibitors to treat premenopausal breast cancer. Our data suggest that other abdominal/pelvic cancers, precancerous conditions, and previously unrecognized metastatic disease are not uncommon findings in this patient population. Gynecologists serving this patient population may consider a careful abdominal survey, pelvic washings, endometrial sampling, and serial sectioning of fallopian tube specimens for a thorough evaluation.

A Comparison of Robotic Simulation Performance on Basic Virtual Reality Skills: Simulator Subjective Versus Objective Assessment Tools.

STUDY OBJECTIVE: To answer the question of whether there is a difference between robotic virtual reality simulator performance assessment and validated human reviewers. Current surgical education relies heavily on simulation. Several assessment tools are available to the trainee, including the actual robotic simulator assessment metrics and the Global Evaluative Assessment of Robotic Skills (GEARS) metrics, both of which have been independently validated. GEARS is a rating scale through which human evaluators can score trainees' performances on 6 domains: depth perception, bimanual dexterity, efficiency, force sensitivity, autonomy, and robotic control. Each domain is scored on a 5-point Likert scale with anchors. We used 2 common robotic simulators, the dV-Trainer (dVT; Mimic Technologies Inc., Seattle, WA) and the da Vinci Skills Simulator (dVSS; Intuitive Surgical, Sunnyvale, CA), to compare the performance metrics of robotic surgical simulators with the GEARS for a basic robotic task on each simulator. DESIGN: A prospective single-blinded randomized study. SETTING: A surgical education and training center. PARTICIPANTS: Surgeons and surgeons in training. INTERVENTIONS: Demographic information was collected including sex, age, level of training, specialty, and previous surgical and simulator experience. Subjects performed 2 trials of ring and rail 1 (RR1) on each of the 2 simulators (dVSS and dVT) after undergoing randomization and warm-up exercises. The second RR1 trial simulator performance was recorded, and the deidentified videos were sent to human reviewers using GEARS. Eight different simulator assessment metrics were identified and paired with a similar performance metric in the GEARS tool. The GEARS evaluation scores and simulator assessment scores were paired and a Spearman rho calculated for their level of correlation. MEASUREMENTS AND MAIN RESULTS: Seventy-four subjects were enrolled in this randomized study with 9 subjects excluded for missing or incomplete data. There was a strong correlation between the GEARS score and the simulator metric score for time to complete versus efficiency, time to complete versus total score, economy of motion versus depth perception, and overall score versus total score with rho coefficients greater than or equal to 0.70; these were significant (p < .0001). Those with weak correlation (rho ≥0.30) were bimanual dexterity versus economy of motion, efficiency versus master workspace range, bimanual dexterity versus master workspace range, and robotic control versus instrument collisions. CONCLUSION: On basic VR tasks, several simulator metrics are well matched with GEARS scores assigned by human reviewers, but others are not. Identifying these matches/mismatches can improve the training and assessment process when using robotic surgical simulators.

Physician Education on Controllable Costs Significantly Reduces Cost of Laparoscopic Hysterectomy.

STUDY OBJECTIVE: To determine whether educating surgeons about their controllable instrumentation costs by providing cost data on total laparoscopic hysterectomy (LH) would reduce the cost of this procedure. DESIGN: Prospective cohort study (Canadian Task Force classification III). SETTING: Academic-affiliated community hospital. PATIENTS: Patients who underwent LH between April 2014 and March 2015 with surgeons who performed at least 10 LHs during that time period, along with a second group who underwent LH with the same cohort of surgeons between July 2015 and September 2015. INTERVENTION: The cost of LH was calculated for all surgeons who performed more than 10 LHs between April 2014 and March 2015. Itemized cost data were collected. The individual costs, as well as a summary of the data, were shared with all of the physicians to highlight areas of potential cost savings. The costs were then measured for 3 months after the educational intervention (July-September 2015) to gauge the impact of physician cost education. MEASUREMENTS AND MAIN RESULTS: Thirteen surgeons met the criteria for inclusion in this analysis. Together, they performed 271 hysterectomies, with an average instrumentation cost of $1539.47 ± $294.16 and an average operating room time of 178 ± 26 minutes. Bipolar instrument choice represented 37% of the baseline costs, followed by 10% for trocar, 9% for cuff closure, and 8% for uterine manipulator. This same group of surgeons performed a total of 69 hysterectomies in the 3-month follow-up period of July-September 2015, with an average instrumentation cost of $1282.62 ± $235.03 and an average operating room time of 163 ± 50 minutes. There was statistically significant cost reduction of $256.85 ± $190.69 (p = .022), with no significant change in operating room time. Bipolar instrument cost decreased significantly, by $130.02 ± $125.02 (p = .021), representing 51% of the total cost savings. Trocar, cuff closure, and uterine manipulator costs were not significant sources of cost savings on average, but did represent sources of cost savings for some surgeons individually. CONCLUSION: Given adequate education about the products available for use in their institution, surgeons make informed decisions regarding the choice of instrumentation, allowing them to directly impact the cost of total LH, resulting in cost savings.

A comparative analysis and guide to virtual reality robotic surgical simulators.

BACKGROUND: Since the US Food and Drug Administration approved robotically assisted surgical devices for human surgery in 2000, the number of surgeries utilizing this innovative technology has risen. In 2015, approximately 650 000 robot-assisted procedures were performed worldwide. Surgeons must be properly trained to safely transition to using such innovative technology. Multiple virtual reality robotic simulators are now commercially available for educational and training purposes. There is a need for comparative evaluations of these simulators to aid users in selecting an appropriate device for their purposes. METHODS: We conducted a comparison of the design and capabilities of all dedicated simulators of the da Vinci robot - the da Vinci Skills Simulator (dVSS), dV-Trainer (dVT), Robotic Skills Simulators (RoSS) and the RobotiX Mentor. This paper provides the base specifications of the hardware and software, with an emphasis on the training capabilities of each system. RESULTS: Each simulator contains a large number of training exercises for skills development: dVSS n = 40, dVT n = 65, RoSS n = 52, RobotiX Mentor n = 31. All four offer 3D visual images but use different display technologies. The dVSS leverages the real robotic surgical console to provide visualization, hand controls and foot pedals. The dVT, RoSS and RobotiX Mentor created simulated versions of all of these control systems. Each includes systems management services that allow instructors to collect, export and analyze the scores of students using the simulators. CONCLUSIONS: This study provides comparative information on the four simulators' functional capabilities. Each device offers unique advantages and capabilities for training robotic surgeons. Each has been the subject of validation experiments, which have been published in the literature. But those do not provide specific details on the capabilities of the simulators, which are necessary for an understanding sufficient to select the one best suited for an organization's needs. This article provides comparative information to assist with that type of selection.