Home practice for robotic surgery: a randomized controlled trial of a low-cost simulation model.

Pre-operative simulated practice allows trainees to learn robotic surgery outside the operating room without risking patient safety. While simulation practice has shown efficacy, simulators are expensive and frequently inaccessible. Cruff (J Surg Educ 78(2): 379-381, 2021) described a low-cost simulation model to learn hand movements for robotic surgery. Our study evaluates whether practice with low-cost home simulation models can improve trainee performance on robotic surgery simulators. Home simulation kits were adapted from those described by Cruff (J Surg Educ 78(2): 379-381, 2021). Hand controllers were modified to mimic the master tool manipulators (MTMs) on the da Vinci Skills Simulator (dVSS). Medical students completed two da Vinci exercises: Sea Spikes 1 (SS1) and Big Dipper Needle Driving (BDND). They were subsequently assigned to either receive a home simulation kit or not. Students returned two weeks later and repeated SS1 and BDND. Overall score, economy of motion, time to completion, and penalty subtotal were collected, and analyses of covariance were performed. Semi-structured interviews assessed student perceptions of the robotic simulation experience. Thirty-three medical students entered the study. Twenty-nine completed both sessions. The difference in score improvement between the experimental and control groups was not significant. In interviews, students provided suggestions to increase fidelity and usefulness of low-cost robotic home simulation. Low-cost home simulation models did not improve student performance on dVSS after two weeks of at-home practice. Interview data highlighted areas to focus future simulation efforts. Ongoing work is necessary to develop low-cost solutions to facilitate practice for robotic surgery and foster more inclusive and accessible surgical education.

Robotic training for medical students: feasibility of a pilot simulation curriculum.

While robotic procedures are growing rapidly, medical students have a limited role in robotic surgeries. Curricula are needed to enhance engagement. We examined feasibility of augmenting Intuitive Surgical (IS) robotic training for medical students. As a pilot, 18 senior students accepted an invitation to a simulation course with a daVinci robot trainer. Course teaching objectives included introducing robotic features, functionalities, and roles. A 1-h online module from the IS learning platform and a 4-h in-person session comprised the course. The in-person session included an overview of the robot by an IS trainer (1.5 h), skills practice at console (1.5 h), and a simulation exercise focused on the bedside assist role (1 h). Feasibility included assessing implementation and acceptability using a post-session survey and focus group (FG). Survey responses were compiled. FG transcripts were analyzed using inductive thematic analysis techniques. Fourteen students participated. Implementation was successful as interested students signed up and completed each of the course components. Regarding acceptability, students reported the training valuable and recommended it as preparation for robotic cases during core clerkships and sub-internships. In addition, FGs revealed 4 themes: (1) perceived expectations of students in the OR; (2) OR vs. outside-OR learning; (3) simulation of stress; and (4) opportunities to improve the simulation component. To increase preparation for the robotic OR and shift robotic training earlier in the surgical education continuum, educators should consider hands-on simulation for medical students. We demonstrate feasibility although logistics may limit scalability for large numbers of students.

Is laparoscopic experience helpful in simulator based robotic training in general surgery?

OBJECTIVE: To evaluate whether or not prior laparoscopic training improves performance during robotic surgery utilising DaVinci robotic skills simulator. METHODS: The cross-sectional study was conducted at the Civil Hospital, Karachi, from May 4 to November 11, 2018, and comprised first year residents in Group A with no laparoscopic skills and fourth year residents doing laparoscopic cholecystectomy independently and surgical faculty members in Group B who had laparoscopic skills. Both the groups had no previous exposure to robotic surgery and skills simulator. There were 4 exercises which were repeated three times by each participant. Scoring was done using the DaVinci robotic skills simulator software. Data was analysed using SPSS 22. RESULTS: Of the 30 surgeons, there were 15(50%) in Group A with a mean age of 26±0.56 years, and 15(50%) in Group B with a mean age of 32 ± 9.16 Years (p<0.001). The overall mean age was 32±9.16 years (range: 25-52 years). There were 19(63.3) females in the sample compared to 11(36.6%) males. Mean scores of Ring walk 2, Peg board 2, and Suture sponge 3 were better in Group A, while mean score of Matchboard 2 was better in Group although B (p>0.05). Group B fared better in the individual scoring of Suture sponge 2 (p>0.05). CONCLUSIONS: Laparoscopic skills apparently did not confer any benefit while performing exercises on the DaVinci skills simulator.

Face and content validity of Xperience™ Team Trainer: bed-side assistant training simulator for robotic surgery.

In robotic surgery, the coordination between the console-side surgeon and bed-side assistant is crucial, more than in standard surgery or laparoscopy where the surgical team works in close contact. Xperience™ Team Trainer (XTT) is a new optional component for the dv-Trainer® platform and simulates the patient-side working environment. We present preliminary results for face, content, and the workload imposed regarding the use of the XTT virtual reality platform for the psychomotor and communication skills training of the bed-side assistant in robot-assisted surgery. Participants were categorized into "Beginners" and "Experts". They tested a series of exercises (Pick & Place Laparoscopic Demo, Pick & Place 2 and Team Match Board 1) and completed face validity questionnaires. "Experts" assessed content validity on another questionnaire. All the participants completed a NASA Task Load Index questionnaire to assess the workload imposed by XTT. Twenty-one consenting participants were included (12 "Beginners" and 9 "Experts"). XTT was shown to possess face and content validity, as evidenced by the rankings given on the simulator's ease of use and realism parameters and on the simulator's usefulness for training. Eight out of nine "Experts" judged the visualization of metrics after the exercises useful. However, face validity has shown some weaknesses regarding interactions and instruments. Reasonable workload parameters were registered. XTT demonstrated excellent face and content validity with acceptable workload parameters. XTT could become a useful tool for robotic surgery team training.

A Systematic Review of Virtual Reality Simulators for Robot-assisted Surgery.

CONTEXT: No single large published randomized controlled trial (RCT) has confirmed the efficacy of virtual simulators in the acquisition of skills to the standard required for safe clinical robotic surgery. This remains the main obstacle for the adoption of these virtual simulators in surgical residency curricula. OBJECTIVE: To evaluate the level of evidence in published studies on the efficacy of training on virtual simulators for robotic surgery. EVIDENCE ACQUISITION: In April 2015 a literature search was conducted on PubMed, Web of Science, Scopus, Cochrane Library, the Clinical Trials Database (US) and the Meta Register of Controlled Trials. All publications were scrutinized for relevance to the review and for assessment of the levels of evidence provided using the classification developed by the Oxford Centre for Evidence-Based Medicine. EVIDENCE SYNTHESIS: The publications included in the review consisted of one RCT and 28 cohort studies on validity, and seven RCTs and two cohort studies on skills transfer from virtual simulators to robot-assisted surgery. Simulators were rated good for realism (face validity) and for usefulness as a training tool (content validity). However, the studies included used various simulation training methodologies, limiting the assessment of construct validity. The review confirms the absence of any consensus on which tasks and metrics are the most effective for the da Vinci Skills Simulator and dV-Trainer, the most widely investigated systems. Although there is consensus for the RoSS simulator, this is based on only two studies on construct validity involving four exercises. One study on initial evaluation of an augmented reality module for partial nephrectomy using the dV-Trainer reported high correlation (r=0.8) between in vivo porcine nephrectomy and a virtual renorrhaphy task according to the overall Global Evaluation Assessment of Robotic Surgery (GEARS) score. In one RCT on skills transfer, the experimental group outperformed the control group, with a significant difference in overall GEARS score (p=0.012) during performance of urethrovesical anastomosis on an inanimate model. Only one study included assessment of a surgical procedure on real patients: subjects trained on a virtual simulator outperformed the control group following traditional training. However, besides the small numbers, this study was not randomized. CONCLUSIONS: There is an urgent need for a large, well-designed, preferably multicenter RCT to study the efficacy of virtual simulation for acquisition competence in and safe execution of clinical robotic-assisted surgery. PATIENT SUMMARY: We reviewed the literature on virtual simulators for robot-assisted surgery. Validity studies used various simulation training methodologies. It is not clear which exercises and metrics are the most effective in distinguishing different levels of experience on the da Vinci robot. There is no reported evidence of skills transfer from simulation to clinical surgery on real patients.