Simulation-based training for thoracoscopy

Abstract

Introduction: An increasing proportion of thoracic procedures are performed using video-assisted thoracic surgery. This minimally invasive technique places special demands on the surgeons. Using simulation-based training on artificial models or animals has been proposed to overcome the initial part of the learning curve. This study aimed to investigate the effect of simulation-based training and to compare self-guided and educator-guided training.

Methods: The study included a surgeon group (n = 10) and 30 randomized novices in 3 groups. A control group (n = 10) and the group of surgeons (n = 10) were tested with no previous simulator training. A self-guided training group (n = 10) and an educator-guided training group (n = 10) trained for 3 hours on 3 scenarios of increasing fidelity and difficulty before taking a standardized test consisting of performing a wedge resection on a porcine lung, which was recorded and assessed blindly and independently by 2 thoracoscopic experts using a modified version of a validated assessment tool.

Results: Interrater reliability was acceptable (Spearman ρ = 0.73, P < 0.001). The control group and the self-guided training group performed significantly worse than the experienced surgeons (P = 0.012 and P = 0.010, respectively). There was no significant difference between the educator-guided training group and the experienced surgeons (P = 0.271).

Conclusions: This randomized study concerning simulation-based training for thoracoscopy showed that 3 hours of intensive simulator training with a dedicated educator enables novices to perform an acceptable wedge resection in a simple, simulated model. Although not significant, it seemed that having an educator present during training had a beneficiary effect. Transfer studies are required for further conclusions.