Study design
Upon approval of the study design by the local ethics committee (ECS 1039/2021), 20 medical students from the Medical University of Innsbruck, Austria, in their sixth semester and beyond, agreed to participate in this prospective, randomized, controlled, single-center trial. Informed consent was obtained from all the participants. They received an initial didactic instruction which detailed the study objectives and introduced the foundational principles of endovascular intervention for patients with peripheral artery disease (PAD).
The participants were then randomized into either BT or WT formats, collaborating in pairs. Each pair underwent six hours of supervised training on an angiography simulator. The block format group completed this in two consecutive days with three-hour sessions each day, while the weekly format group attended two-hour sessions over three consecutive weeks giving a total of 6 hours training to each participant. Following a tutorial on the simulator’s correct usage and the standardized procedural sequence, participants executed an antegrade peripheral endovascular intervention, involving stenting of a short lesion in the superficial femoral artery (SFA).
Outcomes were divided into two categories: performance metrics recorded by the simulator (e.g., total PT, CV usage, and total FT) and a subjective skill assessment by an experienced endovascular surgeon who was blinded to the type of training the participants had performed. This subjective assessment featured two separate scoring systems: The Procedure Specific Rating Scale (PSRS), which outlined the exact procedural steps for a peripheral endovascular intervention as seen in Fig. 1 and instructed at the study’s onset, with a pinnacle score of fourteen points. And the Modified Reznick Scale (MRS), a Global Rating Scale (GRS) originally conceptualized by Reznik [12] for surgical performance, was adapted by Hislop et al. [9] for endovascular interventions (Fig. 2). It facilitates a multifaceted performance evaluation. Participants were rated in the four categories ‘Respect for Tissue’, ‘Time and Motion’, ‘Instrument Handling’, ‘Flow of Operation’, as well as overall performance and endproduct, with scoring ranging from one to five for each of those aspects. Consequently, a perfect score represents 30 points, symbolizing exemplary skill demonstration.
This assessment was performed before the start of the training as well as after completion of the training by an observer, being blinded to the group allocation.
Surveys
Participants were asked to fill out both entrance and exit surveys to collected data on demographics, musical or gaming backgrounds, interest in vascular surgery or interventional radiology, self-assessment of manual dexterity, prior endovascular experience and their comfort level in performing an endovascular procedure on a patient, even if supervised. Responses to both surveys were collected online via the REDCap electronic data capture tools (Vanderbilt University, Nashville Tennessee).
Endovascular Simulator
The study utilized the Mentice VIST G5 simulator (Mentice AB, Göteborg, Sweden) as seen in Fig. 3, a high-fidelity endovascular simulator. Designed to replicate modern catheterization laboratories, it features two monitors, a control box for fluoroscopy and table adjustments, foot pedals for managing fluoroscopy and cine loops, a contrast volume syringe, a stent release handle, and a pressure inflation device for balloon dilation (Fig. 1). This simulator allows for the use of actual catheters and provides enhanced haptic feedback, delivering a strikingly authentic procedural experience. Furthermore, its software presents a range of peripheral ilio-femoral endovascular intervention scenarios.
Data management and statistics
All research data were curated and overseen using the Research Electronic Data Capture (REDCap) tools (Vanderbilt University, Nashville Tennessee) provided by the Medical University of Innsbruck [13, 14].
For statistical assessment, SPSS 29.0 for Windows (SPSS, Chicago, USA) was used. A p-value of < 0.05 was defined as statistically significant, with all disclosed p-values being two-sided. The Kolmogorov-Smirnov test served as a ‘goodness of fit’ measure to evaluate normal distribution. When data displayed a normal distribution, the two-sample t-test was executed to identify statistical differences. For data not following a normal distribution, the Mann-Whitney U test was employed for independent samples, and the Wilcoxon signed-rank test for dependent ones. The Pearson correlation coefficient evaluated linear correlations between non-normally distributed data sets. In contrast, the Spearman’s rank correlation coefficient assessed monotonic relationships in normally distributed data. Categorical data, expressed as percentages, were compared using the chi-square test for independent samples and the McNemar test for dependent ones.