Laparoscopic skill assessment of practicing surgeons prior to enrollment in a surgical trial of a new laparoscopic procedure

Oncologic Outcomes of Multi-Institutional Minimally Invasive Inguinal Lymph Node Dissection for Melanoma Compared with Open Inguinal Dissection in the Second Multicenter Selective Lymphadenectomy Trial (MSLT-II)

BACKGROUND

Minimally invasive inguinal lymphadenectomy (MILND) is safe and feasible, but limited data exist regarding oncologic outcomes.

METHODS

This study performed a multi-institutional retrospective cohort analysis of consecutive MILND performed for melanoma between January 2009 and June 2016. The open ILND (OILND) comparative cohort comprised patients enrolled in the second Multicenter Selective Lymphadenectomy Trial (MSLT-II) between December 2004 and March 2014.The pre-defined primary end point was the same-basin regional nodal recurrence, calculated using properties of binomial distribution. Time to events was calculated using the Kaplan-Meier method. The secondary end points were overall survival, progression-free survival, melanoma-specific survival (MSS), and distant metastasis-free survival (DMFS).

RESULTS

For all the patients undergoing MILND, the same-basin regional recurrence rate was 4.4 % (10/228; 95 % confidence interval [CI], 2.1-7.9 %): 8.2 % (4/49) for clinical nodal disease and 3.4 % (6/179) for patients with a positive sentinel lymph node (SLN) as the indication. For the 288 patients enrolled in MSLT-II who underwent OILND for a positive SLN, 17 (5.9 %) had regional node recurrence as their first event. After controlling for ulceration, positive LN count and positive non-SLNs at the time of lymphadenectomy, no difference in OS, PFS, MSS or DMFS was observed for patients with a positive SLN who underwent MILND versus OILND.

CONCLUSION

This large multi-institutional experience supports the oncologic safety of MILND for melanoma. The outcomes in this large multi-institutional experience of MILND compared favorably with those for an OILND population during similar periods, supporting the oncologic safety of MILND for melanoma.

Evaluation of minimally invasive surgical skills training: comparing a neonatal esophageal atresia/tracheoesophageal fistula model with a dry box

BACKGROUND

Pediatric surgeons require highly advanced minimally invasive surgical skills to perform rare and complex surgeries in a very vulnerable population. We developed a neonatal esophageal atresia (EA) model to improve thoracoscopic surgical skills. This study aimed to evaluate the concurrent validity of the model by undertaking pre- and post-training skills assessments in two groups of students with no prior experience performing minimally invasive surgery, using the EA model and a dry box (DB).

METHODS

A pilot study was performed. The participants were randomly divided into two groups: one trained using the DB and one trained using the EA model. Both groups practiced a minimally invasive surgical suture task. The task completion time, 29-point checklist score, modified suturing error sheet score, and three-dimensional forceps movement in both groups were compared pre-and post-training by video analysis.

RESULTS

The EA model task was significantly more difficult than that of the DB. Both groups showed significant improvement in the task time, 29-point checklist score, and modified suturing error sheet score; however, the EA model training was more efficient in improving each error item. Regarding forceps movement, the EA model training significantly decreased wasted motion, whereas the DB was limited in this regard.

CONCLUSIONS

Short-term training on the EA model, which was more technically demanding than the DB, decreased technical error and wasted motion, and allowed learners to acquire surgical skills more efficiently than training with the DB model. These facts revealed the concurrent validity of the EA model.

Applications of Haptic Technology, Virtual Reality, and Artificial Intelligence in Medical Training During the COVID-19 Pandemic

This paper examines how haptic technology, virtual reality, and artificial intelligence help to reduce the physical contact in medical training during the COVID-19 Pandemic. Notably, any mistake made by the trainees during the education process might lead to undesired complications for the patient. Therefore, training of the medical skills to the trainees have always been a challenging issue for the expert surgeons, and this is even more challenging in pandemics. The current method of surgery training needs the novice surgeons to attend some courses, watch some procedure, and conduct their initial operations under the direct supervision of an expert surgeon. Owing to the requirement of physical contact in this method of medical training, the involved people including the novice and expert surgeons confront a potential risk of infection to the virus. This survey paper reviews recent technological breakthroughs along with new areas in which assistive technologies might provide a viable solution to reduce the physical contact in the medical institutes during the COVID-19 pandemic and similar crises.

A new basic thoracoscopic surgical skill training and assessment system using automatic scoring techniques

PURPOSE

We report a new thoracoscopic surgical skill training and assessment system with automatic scoring techniques, the Huaxi Intelligent Thoracoscopic Skill Training and Assessment (HITSTA) system. We also evaluated the discriminative ability of this system compared to our conventional scoring method at our institution.

METHODS

We retrospectively collected training data of thoracic board-certified thoracic surgeons at West China Hospital, Sichuan University from January 1, 2018 to January 1, 2019. Surgeons were assessed by HITSTA system and human examiners simultaneously. Total scores were summed from 3 tasks (grasping with delivery, pattern cutting, and suture with knot). Bland-Altman analysis was used to test agreement of scores made by HITSTA system (automatic scoring) and human examiners (manual scoring). Differentiation ability was also compared between the two scoring methods.

RESULTS

Thirty-nine surgeons were recruited. Scores made by HITSTA system and human examiners were not consistent. For suture with knot, automatic scoring method could detect the score differences between different training status (trained: 26.92 ± 12.04, untrained: 19.85 ± 11.12; p = 0.026) and training duration (< 10 h: 20.67 ± 15.23,  ≥ 10 h: 31.92 ± 5.56; p = 0.003). For total scores, automatic scoring approach could discriminate between different training status (trained: 71.90 ± 12.63; untrained: 61.41 ± 13.87; p = 0.016) and training duration (< 10 h: 65.23 ± 15.31;  ≥ 10 h 77.23 ± 6.94; p = 0.046).

CONCLUSION

HITSTA system could discriminate the different levels of thoracoscopic surgical skills better than the traditional manual scoring method. Larger prospective studies are warranted to validate the differentiation ability of HITSTA system.

A longitudinal cadaver-based simulation curriculum creates sustainable increases in resident confidence and exposure to fundamental techniques: Results of a 5-year program evaluation

INTRODUCTION

For the past five years, our surgical residency program has led a cadaver-based simulation course focused on fundamental surgical maneuvers. This study aimed to quantify the impact of this course on resident exposure to surgical skills and longitudinal impact on resident education.

METHODS

General surgery residents participated in an annual cadaver-based simulation curriculum. Participants completed surveys regarding improvements in knowledge and confidence; these results were stratified between course iterations (P1: 2 years, 2014-15; P2: 3 years, 2016-2018).

RESULTS

Residents reported a sustained increase in knowledge of anatomy and technical dissection, confidence in performing operative skills independently, and exposure to operative skills that were otherwise not encountered in clinical rotations. Junior residents demonstrated an increase in gaining skills they would otherwise not achieve (87% vs. 98%, p = 0.028) and confidence to safely perform these procedures in the clinical setting (94% vs. 100%, p = 0.077).

CONCLUSION

This annual, longitudinal cadaver-based skills course focused on fundamental maneuvers demonstrates a sustained impact in resident and faculty surgical confidence in resident's operative skills as a component of a longitudinal simulation curriculum to enhance competency-based promotion.

Minimally invasive inguinal lymph node dissection: initial experience and reproducibility in a limited resource setting-with technique video

BACKGROUND

Conventional inguinal lymph node dissection comes with a high wound complication rate which increases hospital stay and may delay adjuvant treatment. Minimally invasive lymph node dissection (MILND) is a novel endoscopic technique which aims to minimize complications of lymphadenectomy. Herein we present our technique and experience with MILND to examine safety, feasibility and reproducibility in a setting of limited resources.

METHODS

All patients undergoing MILND in the National Cancer Institute, Cairo were prospectively included following informed consent, IRB and ethical committee approval. Demographics, clinical, pathological data and postoperative complications according to Clavien-Dindo classification were recorded. Footage collected was used to create a step-by-step video demonstrating the technique.

RESULTS

Twenty-seven procedures were included in the study. The most common indications were vulval cancer (44%) and skin melanoma (19%). There were 5 (18%) conversions to open procedure, all of them in the first 10 cases of the learning curve. The median (range) operative time was 120 (45-240) min and there was a trend towards shorter operative time after the first 5 cases. Wound dehiscence occurred in 4 cases (15%). Three of them (11%) required reoperation (grade III). Grade I/II complications in the form of seroma and wound infection occurred in 34%. The median (range) postoperative hospital stay was 2 (1-14). The median (range) number of retrieved lymph nodes was 12 (3-19). No grade III/IV lymphedema was recorded at 90 days after surgery.

CONCLUSION

MILND is a safe, feasible technique associated with relatively low postoperative wound complications even when performed in a centre with relatively limited resources.

Oncological outcome of videoscopic groin dissection for lymph node metastasis from melanoma

BACKGROUND

Videoscopic inguinal lymphadenectomy (VIL) represents an innovative approach for patients with melanoma lymph node (LN) metastases, mainly aimed at lowering wound-related morbidity. However, long-term data on oncologic safety are still lacking. The aim of this study is to review the oncologic outcome of videoscopic groin dissection in a single institution caseload.

METHODS

Data were prospectively gathered on patients with inguinal melanoma metastasis who underwent VIL. Clinical data included age, race, sex, tumor histology, node counts and number of metastatic nodes. Disease-free survival and overall survival were monitored based on an institutional follow-up schedule. The study was approved by the local ethics committee (Video-SIIO II study).

RESULTS

We analyzed 48 videoscopic groin dissections performed in 50 patients (2 patients underwent bilateral VIL). Median age was 54.5 years. Female/male ratio was 15/33. Indication for surgery was positive inguinal sentinel biopsy and cytological confirmed clinical disease in 40 and 10 cases, respectively. Median LN retrieval count was 19. After a median follow-up of 28 months, groin recurrence (lymphatic basin) was observed in one single case.

CONCLUSIONS

VIL for melanoma LN metastases is associated with a favorable oncologic outcome. In particular, LN yield and locoregional recurrence rate obtained with videoscopic dissection are comparable to those reported with the open technique. Prospective studies are needed to confirm these results in a larger cohort of patients.

Performance assessment - The knowledge, skills and attitudes of surgical performance

Pediatric surgical education has traditionally focused on the hard cognitive and psychomotor (technical) skills. While more and more attention is being paid to softer skills such as communication, collaboration, leadership, health advocacy, professionalism and scholarship, the bulk of curricula remain focused on the hard skills. An intricate part of education is the assessment of performance. This article reviews the current literature on the assessment of cognitive and psychomotor skills, focusing particularly on the assessment of technical skills in the realm of simulation.

A machine learning approach to predict surgical learning curves

BACKGROUND

Contemporary surgical training programs rely on the repetition of selected surgical motor tasks. Such methodology is inherently open ended with no control on the time taken to attain a set level of proficiency, given the trainees' intrinsic differences in initial skill levels and learning abilities. Hence, an efficient training program should aim at tailoring the surgical training protocols to each trainee. In this regard, a predictive model using information from the initial learning stage to predict learning curve characteristics should facilitate the whole surgical training process.

METHODS

This paper analyzes learning curve data to train a multivariate supervised machine learning model. One factor is extracted to define the trainees' learning ability. An unsupervised machine learning model is also utilized for trainee classification. When established, the model can predict robustly the learning curve characteristics based on the first few trials.

RESULTS

We show that the information present in the first 10 trials of surgical tasks can be utilized to predict the number of trials required to achieve proficiency (R²=0.72) and the final performance level (R²=0.89). Furthermore, only a single factor, learning index, is required to describe the learning process and to classify learners with unique learning characteristics.

CONCLUSION

Using machine learning models, we show, for the first time, that the first few trials contain sufficient information to predict learning curve characteristics and that a single factor can capture the complex learning behavior. Using such models holds the potential for personalization of training regimens, leading to greater efficiency and lower costs.

Refining How We Define Laparoscopic Expertise

BACKGROUND

Traditional stratification of expertise in laparoscopic simulation assigns participants to novice, intermediate, or expert groups based on case numbers. We hypothesized that expert video assessment might refine this discrimination of psychomotor expertise, especially in light of new measurable parameters.

MATERIALS AND METHODS

One hundred five participants performed a defined intracorporeal suturing task in the pediatric laparoscopic surgery simulator armed with force-sensing capabilities. Participants were stratified into novice, intermediate, and expert groups via three classification schemes: (1) number of complex laparoscopic cases, (2) self-declared level of expertise, and (3) average expert rating of participants' videos. Precision, time to task completion, and force analysis parameters (FAP = total, maximum and mean forces in three axes) were compared using one-way analysis of variance tests. P < .05 was considered significant.

RESULTS

Participants stratified on the basis of case numbers and on the basis of self-declared level of expertise had statistically significant differences in time to task completion, but no significant difference in FAP. When participants were restratified according to expert assessment of their video performance, time to task completion as well as total and mean forces in X, Y, and Z axes allowed discrimination between novices, intermediates, and experts, thus establishing construct validity for the latter. Precision did not allow discrimination in any stratification scheme.

CONCLUSION

Compared with traditional stratification, video assessment allows refined discrimination of psychomotor expertise within a simulator. Assessment of FAP may become a relevant tool for teaching and assessing laparoscopic skills.

The value proposition of simulation-based education

Simulation has become an integral part of physician education, and abundant evidence confirms that simulation-based education improves learners' skills and behaviors and is associated with improved patient outcomes. The resources required to implement simulation-based education, however, have led some stakeholders to question the overall value proposition of simulation-based education. This paper summarizes the information from a special panel on this topic and defines research priorities for the field. Future work should focus on both outcomes and costs, with robust measurement of resource investments, provider performance (in both simulation and real settings), patient outcomes, and impact on the health care organization. Increased attention to training practicing clinicians and health care teams is also essential. Clarifying the value proposition of simulation-based education will require a major national effort with funding from multiple sponsors and active engagement of a variety of stakeholders.