Can teenage novel users perform as well as General Surgery residents upon initial exposure to a robotic surgical system simulator?

Transferring laparoscopic skills to robotic-assisted surgery: a systematic review

Robotic-Assisted Surgery (RAS) is experiencing rapid expansion, prompting the integration of robotic technical skills training into surgical education programs. As access to robotic training platforms remains limited, it is important to investigate the transferability of laparoscopic skills to RAS. This could potentially support the inclusion of early years laparoscopic training to mitigate the learning curve associated with robotic surgery. This study aims to assess the transferability of laparoscopic skills to robotic surgery. A systematic search was conducted using the PRISMA checklist to identify relevant articles. PubMed, MEDLINE, Embase, and Cochrane databases were searched, and inclusion and exclusion criteria were applied to collate eligible articles. Included were original articles comparing the performance of comparable tasks on both laparoscopic and robotic platforms written in English. Non-peer reviewed papers, conference abstracts, reviews, and case series were excluded. Seventeen articles met the inclusion criteria. Among these, 10 studies (59%) demonstrated skill transferability from laparoscopic surgery (LS) to robotic surgery (RS); while one study (5.8%) showed no significant transferability. Four studies highlighted the positive impact of prior laparoscopic training on robotic skill, whereas six papers suggested no significant difference between laparoscopic novices and experienced laparoscopists when utilizing a robotic simulator. Five studies evaluated advanced surgical skills such as intracorporeal knot tying and suturing, revealing superior robotic performance among experienced laparoscopists compared to novice learners. Laparoscopic skills appear to be transferrable to robotic surgery, particularly in complex surgical techniques. Robotic simulators demonstrate a significant reduction in the learning curve for surgical novices, albeit to a lesser extent for experienced laparoscopists.

A systematic review of robotic surgery curricula using a contemporary educational framework

BACKGROUND

There has been a rising trend in robotic surgery. Thus, there is demand for a robotic surgery curriculum (RSC) for training surgical trainees and practicing surgeons. There are limited data available about current curricular designs and the extent to which they have incorporated educational frameworks. Our aim was to study the existing robotic surgery curricula using Kern's 6-step approach in curriculum development.

METHODS

A systematic review was conducted using PubMed, PubMed Central, Cochrane, Embase, and Scopus (we searched studies from 2001 to 2021). PRISMA Guidelines was used to guide the search. Curriculum designed for general surgery and its subspecialties were included. Urology and gynecology were excluded. The articles were reviewed by five reviewers.

RESULTS

Our review yielded 71 articles, including 39 curricula at 9 different settings. Using Kern's framework, we demonstrated that the majority of robotic surgery curricula contained all the elements of Kern's curricular design. However, there were significant deficiencies in important aspects of these curricula i.e., implementation, the quality of assessment tools for measurement of performance and evaluation of the educational value of these interventions. Most institutions used commercial virtual reality simulators (VRS) as the main component of their RSC and 23% of curricula only used VRS.

CONCLUSIONS

Although majority of these studies contained all the elements of Kern's framework, there are critical deficiencies in the components of existing curricula. Future curricula should be designed using established educational frameworks to improve the quality of robotic surgery training.

The effects of gender, age, and videogame experience on performance and experiences with a surgical robotic arm: an exploratory study with general public

Robotic surgery is increasing in prevalence, thanks to its potential benefits for patients (e.g., reduced blood loss) and surgeons (e.g., ergonomics). It is important to know what inherent characteristics of potential surgeons may facilitate robotic surgery training and performance. Findings from previous studies indicate videogames can be inexpensive tools that help improve hand-eye coordination, coordination of 3-D movements with 2-D images, and spatial orientation. In the context of robotic-assisted knee arthroscopy using a MAKO robotic arm, this study explored performance and subjective experiences of novices (N = 104) with a fake bone shaving task at a public event. Participants' performance was measured based on how much of the bone they successfully shaved. Findings showed that duration of videogame play per week was negatively related to performance with the robotic arm. Male and female participants performed similarly on the bone shaving task, and reported similar difficulty with and enjoyment of the task. However, female participants who played videogames performed better than those who did not play videogames. Participants who were younger than 11 had the worst performance and the most difficulty with the robotic arm. Overall, the findings indicate that the effect of videogame experience on the performance with the robotic arm may differ based on gender and age. This has implications on the length of training for surgeons of different gender using videogames and other emerging technologies.

Cognitive training for robotic surgery: a chance to optimize surgical training? A pilot study

The rapid rise of robotic-assisted surgery (RAS) has necessitated an efficient and standardized training curriculum. Cognitive training (CT) can significantly improve skills, such as attention, working memory and problem solving, and can enhance surgical capacity and support RAS training. This pilot study was carried out between 02/2019 and 04/2019. The participants included 33 student volunteers, randomized into 3 groups: group 1 received training using the da Vinci training simulator, group 2 received computer-based cognitive training, and group 3 was the control group without training. Before (T1) and after-training (T2), performance was measured. Additionally, expert ratings and self-evaluations were collected. Subjective evaluations of performance were supplemented by evaluations based on three scales from the revised NEO Personality Inventory (NEO PI-R). In total, 25 probands remained with complete data for further analyses: n = 8 (group 1), n = 7 (group 2) and n = 10 (group 3). There were no significant differences in T1 and T2 among all three groups. The average training gain of group 1 and 2 was 15.87% and 24.6%, respectively, (a restricting condition is the loss of the last training session in group 2). Analyses of semi-structured psychological interviews (SPIs) revealed no significant differences for T1, but in T2, significance occurred at ‘self-reflection’ for group 2 (F(2.22) = 8.56; p < .005). The efficacy of CT in training highly complex and difficult procedures, such as RAS, is a proven and accepted fact. Further investigation involving higher numbers of training trials (while also being cost effective) should be performed.