Development and validation of a simulation model for laparoscopic myomectomy

Objective assessment tools in laparoscopic or robotic-assisted gynecological surgery: A systematic review

INTRODUCTION

There is a growing emphasis on proficiency-based progression within surgical training. To enable this, clearly defined metrics for those newly acquired surgical skills are needed. These can be formulated in objective assessment tools. The aim of the present study was to systematically review the literature reporting on available tools for objective assessment of minimally invasive gynecological surgery (simulated) performance and evaluate their reliability and validity.

MATERIAL AND METHODS

A systematic search (1989-2022) was conducted in MEDLINE, Embase, PubMed, Web of Science in accordance with PRISMA. The trial was registered with the Prospective Register of Systematic Reviews (PROSPERO) ID: CRD42022376552. Randomized controlled trials, prospective comparative studies, prospective single-group (with pre- and post-training assessment) or consensus studies that reported on the development, validation or usage of assessment tools of surgical performance in minimally invasive gynecological surgery, were included. Three independent assessors assessed study setting and validity evidence according to a contemporary framework of validity, which was adapted from Messick's validity framework. Methodological quality of included studies was assessed using the modified medical education research study quality instrument (MERSQI) checklist. Heterogeneity in data reporting on types of tools, data collection, study design, definition of expertise (novice vs. experts) and statistical values prevented a meaningful meta-analysis.

RESULTS

A total of 19 746 titles and abstracts were screened of which 72 articles met the inclusion criteria. A total of 37 different assessment tools were identified of which 13 represented manual global assessment tools, 13 manual procedure-specific assessment tools and 11 automated performance metrices. Only two tools showed substantive evidence of validity. Reliability and validity per tool were provided. No assessment tools showed direct correlation between tool scores and patient related outcomes.

CONCLUSIONS

Existing objective assessment tools lack evidence on predicting patient outcomes and suffer from limitations in transferability outside of the research environment, particularly for automated performance metrics. Future research should prioritize filling these gaps while integrating advanced technologies like kinematic data and AI for robust, objective surgical skill assessment within gynecological advanced surgical training programs.

Advances in gynecologic simulation: implementation, validity, and new resources

PURPOSE OF REVIEW

Simulation plays an integral role in gynecological surgical training that will continue and grow in the future. It aims to supplement surgical training as residents are experiencing decreased surgical volumes. It has also been recognized as a means for assessing a trainee's capabilities to the point of being incorporated into the board certification process. This review will highlight the recent updates in research and resources available for gynecologic surgery simulation.

RECENT FINDINGS

The literature reviewed demonstrated that, across the board, participants in simulation find it beneficial. A variety of low-fidelity and high-fidelity models, virtual reality programs, and artificial intelligence technology have been developed recently. As the field advances, researchers have started to investigate methods to increased engagement and provide feedback without the need for direct observation, the logical next step considerations to maximize the impact and availability of simulation.

SUMMARY

Gynecologic surgery training programs must stay abreast of the wide variety of simulation training available. Efforts should continue to be made to investigate the impact of simulation patient outcomes. The academic medicine community has a responsibility to ensure high-quality simulation is available to all surgical trainees to avoid disparities between low-resource and high-resource programs.

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.

Laparoscopic continuous seromuscular circumsuture for myomectomy: a real-world, retrospective, East-Asian cohort study

OBJECTIVE

This study aimed to introduce a novel laparoscopic haemostasis for myomectomy and investigate the independent risk factors for uterine fibroid recurrence.

DESIGN

A retrospective cohort study.

SETTING

Following strengthening the reporting of observational studies in epidemiology (STROBE) criteria, a retrospective study of prospectively collected available data of the consecutive patients who underwent the myomectomy in the department of obstetrics and gynaecology of the single centre between February 2018 and December 2020.

PARTICIPANTS

177 patients who underwent laparoscopic myomectomy resection were enrolled in the present cohort study.

MATERIALS AND METHODS

Patients were classified into two groups according to their different methods of haemostasis in laparoscopic surgery. Recurrence-free survival was compared between the groups during an average follow-up of nearly 2 years.

RESULTS

Of the 177 patients from 672 consecutive patients in the retrospective cohort, laparoscopic circular suture and baseball suture were carried out in 102 (57.6%) and 75 (42.4%) patients, respectively. The total amount of blood lost during surgery varied significantly (37.6 vs 99.5 mL) (p<0.001). Univariable analyses identified that age ≥40 years, position at intramural myoma, multiple fibroids and largest fibroid volume ≥50 mm3 (HR 2.222, 95% CI 1.376 to 3.977, p=0.039; HR 3.625, 95% CI 1.526 to 6.985, p=0.003; HR 3.139, 95% CI 1.651 to 5.968, p<0.001; HR 2.328, 95% CI 0.869 to 3.244, p=0.040, respectively) are independent risk factor of the recurrence of uterine fibroids. The formula of the nomogram prediction model was established as the practical clinical tool.

CONCLUSION

The laparoscopic continuous seromuscular circumsuture for myomectomy can effectively reduce the amount of surgical bleeding and accelerate the perioperative recovery for surgical safety. The main factors affecting the recurrence of uterine fibroids were age, location, number and volume of uterine fibroids. The nomogram can more straightforwardly assist clinicians to determine the risk of recurrence after laparoscopic myomectomy.