Transfer of open and laparoscopic skills to robotic surgery: a systematic review

Immersive reality for robotic surgical training: a pilot study using 3D visors for immersive view of the operating field

Immersive intracorporeal vision is a key feature of robotic surgery, limited today to only one trainee per operation when the dual console is available. We developed a tool that provides a virtually unlimited number of surgeons with the operator's view, with the possibility to also watch the surgeon's hand movements and the operating table. In this study, we aim to assess trainees' reaction to this innovative training method. Medical students and surgery residents were offered an immersive experience with head-mounted devices, showing a didactic video in a 360° virtual space with 3D intracorporeal robotic vision, the surgeon's hand movements and the surrounding operating room during a robotic rectal resection with total mesorectal excision. Subsequently, participants were asked to fill a questionnaire evaluating the user's reaction to the new training tool including the validated System Usability Scale (SUS) and Simulator Sickness Questionnaire (SSQ), and non-validated questions. 102 participants took part in the training and the assessment questionnaires, 94 (92%) medical students and 8 (8%) surgery residents. Users' feedback was overall positive. In the engagement and intention to use items, almost 90% of the respondents voted for a complete or near complete agreement. The median SUS score was 80 [IQR 70-90]. The median SSQ score was 44.88 [IQR 22.44-82.28]. Exposing trainees to immersive robotic vision of the surgical field had a positive reaction from our audience. Our initial results encourage further implementing this technology in surgical training of medical students and residents to prove its efficacy.

How long do we need to reach sufficient expertise with the avatera® robotic system?

PURPOSE

To investigate the learning curve in four basic surgical skills in laparoscopic and robotic surgeries, and evaluate the approximate time needed to reach sufficient expertise in performing these tasks with the avatera® system.

METHODS

Twenty urology residents with no previous experience in dry-lab and robotic surgery were asked to complete four basic laparoscopic tasks (peg transfer, circle cutting, needle guidance, and suturing) laparoscopically and robotically. All participants were asked to complete the tasks first after watching the Uroweb educational material and, second, after undertaking a 2-hour training in robotic and laparoscopic dry-lab. Thereafter, all trainees continued to undertake 2-hour training programs until being able to complete the tasks with the avatera® robot at the desired time. Paired t test and one-way ANOVA test were used to analyze time differences between the groups.

RESULTS

Time needed to complete all tasks either robotically or laparoscopically was significantly less in the second compared to the first attempt for all Groups in each Task. In the robotic dry-lab, time needed to complete the tasks was significantly less than in the laparoscopic dry-lab. A significant effect of previous laparoscopic experience of the participants on the training time needed to achieve most of the goal times was detected.

CONCLUSION

The results of the study highlight the role of previous laparoscopic experience in the training time needed to achieve the performance time goals and demonstrate that the learning curve of basic surgical skills using the avatera® system is steeper than the laparoscopic one.

Optimizing robotic thyroid surgery: lessons learned from an retrospective analysis of 104 cases

Background

Robotic assistance in thyroidectomy is a developing field that promises enhanced surgical precision and improved patient outcomes. This study investigates the impact of the da Vinci Surgical System on operative efficiency, learning curve, and postoperative outcomes in thyroid surgery.

Methods

We conducted a retrospective cohort study of 104 patients who underwent robotic thyroidectomy between March 2018 and January 2022. We evaluated the learning curve using the Cumulative Sum (CUSUM) analysis and analyzed operative times, complication rates, and postoperative recovery metrics.

Results

The cohort had a mean age of 36 years, predominantly female (68.3%). The average body mass index (BMI) was within the normal range. A significant reduction in operative times was observed as the series progressed, with no permanent hypoparathyroidism or recurrent laryngeal nerve injuries reported. The learning curve plateaued after the 37th case. Postoperative recovery was consistent, with no significant difference in hospital stay duration. Complications were minimal, with a noted decrease in transient vocal cord palsy as experience with the robotic system increased.

Conclusion

Robotic thyroidectomy using the da Vinci system has demonstrated a significant improvement in operative efficiency without compromising safety. The learning curve is steep but manageable, and once overcome, it leads to improved surgical outcomes and high patient satisfaction. Further research with larger datasets and longer follow-up is necessary to establish the long-term benefits of robotic thyroidectomy.

Adapting to a Robotic Era: The Transferability of Open and Laparoscopic Skills to Robotic Surgery

BACKGROUND

The learning curve of robotic surgical skills is poorly understood. There is a lack of data on the transferability of skills from open and laparoscopic training to robotic surgery. In this retrospective cohort study, we investigated the impact of training acquired during intern year on the development of robotic skills in general surgery residents, prior to formal robotic training.

METHODS

Between 2019 and 2021, novice general surgery residents underwent robotic skill assessment using 3 validated inanimate drills before starting intern year. After completing basic open and laparoscopic proficiency-based curricula, they completed an identical robotic skill assessment at the end of intern year. Pre and post intern year robotic performances were recorded and analyzed by 2 blinded graders. Video-based assessment included completion time, errors, and the modified Objective Structured Assessment of Technical Skills (mOSATS) score.

RESULTS

The total time needed to complete all 3 robotic drills decreased from a mean of 26 to 17 minutes after intern year (p < 0.001). The number of errors decreased from a mean of 2.16 to 0.56 errors per subject (p < 0.001). The aggregated mOSATS score increased by an average of 41% (p < 0.001), with a greater increase in technical skill domains compared to the knowledge-based domain. The interrater intraclass correlation coefficient was 0.91.

CONCLUSIONS

Baseline robotic surgical skills are limited without formal training. Our findings suggest that acquiring basic open and laparoscopic skills, such as knot tying, needle driving, and tissue handling results in improved performance on the robotic platform, prior to formal robotic training. Therefore, requiring trainees to complete fundamental open and laparoscopic training prior to robotic training may be an efficient and effective strategy within a surgical residency curriculum.

Transfer of skills between laparoscopic and robot-assisted surgery: a systematic review

BACKGROUND

Robot-assisted surgery is today well-implemented in many surgical specialties, but requires another skill set than laparoscopy. Most often, robot-assisted surgery is considered add-on to laparoscopic skills but very little is known about the transfer of skills. The aim of the study was to examine to what extent surgical skills are transferable between laparoscopic and robot-assisted surgery.

METHODS

A systematic search was conducted in three databases (Ovid Medline, Embase, and Web of Science). Studies investigating transfer of skills between laparoscopy and robot-assisted surgery in either a phantom-based, simulation-based, animal model, or clinical setting were eligible for inclusion. Quality assessment was done using the Medical education research study quality instrument and educational New Ottawa Scale.

RESULTS

Of 15,610 studies identified, 89 studies continued to full-text reading, and 37 studies were included. Four studies were found non-comparable and were left out of the results for the primary outcome. All 33 studies explored transfer from laparoscopy to robot-assisted surgery and 17 found a positive transfer whereas 15 did not. Only 11 studies explored transfer from robot-assisted surgery to laparoscopy, of which only three found a positive transfer.

CONCLUSION

An almost equal number of publications found a positive transfer and no transfer from laparoscopic to robot-assisted surgery. Fewer studies explored the transfer from robot-assisted surgery to laparoscopy. Very little evidence supports that surgeons trained solely in robot-assisted surgery can perform laparoscopy. This must be considered in future training programs as robot-assisted surgery is expected to become the first-in-line modality for many future surgeons.

Skill transference and learning curves in novice learners: a randomized comparison of robotic and laparoscopic platforms

BACKGROUND

While well-established protocols direct laparoscopic training, there remains a relative paucity of guidelines for robotic education. Furthermore, it is unknown how exposure to one platform influences trainees' proficiency in the other. This study aimed to compare and quantify (1) learning curves and (2) transference of skill between the two modalities in novice learners.

METHODS

Thirty pre-clinical medical students were randomized into two groups. One group performed the peg-transfer task using the robot first, followed by laparoscopy, while the other group performed the same task laparoscopically first. Participants completed five repetitions with each methodology. Participants were timed and errors were recorded. We hypothesized that laparoscopic experience with the peg-transfer task would assist in completing the task robotically, and there would be a higher degree of skill transference from the laparoscopic to robotic platform.

RESULTS

Peg-transfer task completion was consistently faster and more accurate with the robot compared to laparoscopy (p < 0.01). We observed a positive transference of skill from the laparoscopic to robotic platform. However, exposure to the robot-hindered students' ability to perform the task laparoscopically, evidenced by significantly increased time and errors when compared with baseline laparoscopic performance (p < 0.01).

CONCLUSION

These findings encourage surgical residency programs to treat robotic and laparoscopic training as discrete entities and consider their unique learning curves and skill transference when designing an efficient curriculum. While these effects are observed in novices, future directions include uncovering the trends among resident trainees and practicing surgeons.

Robotic Plastic Surgery Education: Developing a Robotic Surgery Training Program Specific to Plastic Surgery Trainees

Over the past two decades, the surgical community has increasingly embraced robotic-assisted surgery (RAS) due to its potential to enhance accuracy and decrease surgical morbidity. Plastic surgery as a field has been historically slow to incorporate RAS, with lack of adequate training posing as one of the most commonly cited barriers. To date, robot technology has been utilized for various reconstructive procedures including flap elevation and inset, pedicle dissection, and microvascular anastomosis. As RAS continues to integrate within plastic surgery procedures, the need for a structured RAS curriculum designed for plastic surgery trainees is rising. This article delineates the essential components of a plastic surgery-specific RAS curriculum and outlines current training models and assessment tools utilized across surgical subspecialties to date.

[Robotic sleeve gastrectomy: single-center experience]

OBJECTIVE

To demonstrate safe introduction of a new technology (Da Vinci robotic system) into laparoscopic bariatric practice.

MATERIAL AND METHODS

We analyzed treatment outcomes in patients with morbid obesity who underwent robot-assisted sleeve gastrectomy between 2020 and 2023. The same team of surgeons performed all operations. Evolution of technique and preparation of the operating theatre were recorded. Demographic data of patients, surgery time (docking and total surgery time), simultaneity of intervention, intraoperative and postoperative complications, as well as weight loss after 6 months were retrospectively analyzed.

RESULTS

There were 15 robot-assisted sleeve gastrectomies between 2020 and 2023. Of these, 14 patients underwent surgery without complications. One patient was diagnosed with portal vein thrombosis that required anticoagulation. Median surgery time 194 [173.5; 241] min, period between incision and docking - 35 [30; 36] min. The length of hospital-stay was 3 days. The median weight loss after 6 months was 37.5% [29.5; 51.2].

CONCLUSION

This study demonstrates safe introduction of a new technology to prepare the bariatric team for more complex surgical interventions in the future.