Utilization of a 3D Printed Simulation Training Model to Improve Microsurgical Training

Abstract

Background: Simulation is integral to the development and maintenance of micro- surgical skills. Several simulation models have been described ranging from bench- top to live animal models. High fidelity models are often burdened by cost and ethical issues limiting widespread implementation. This study aims to determine the feasibility of a microsurgical training platform using the Konjac noodle model. Methods: A prospective cohort study was conducted at our institution. A progressive microsurgical training curriculum was developed. A bespoke three-dimensional printed training platform was produced to enable residents to record training and assessment tasks. Microsurgical skills were blindly assessed before and after completing the training program using the University of Western Ontario Microsurgical Skills Assessment instrument. Results: Plastic surgery residents at various stages of training were recruited (n = 10). A significant improvement in vessel preparation from a pre-training median of 3 (IQR 2 -4) versus a post-training of 4 (IQR 3 -5, P = 0.0035) and suturing with a pre-training median of 3 (IQR 2 -4) versus a post-training of 4 (IQR 3 -5, P = 0.0047) domains of the University of Western Ontario Microsurgical Skills Assessment score was demonstrated after completion of the training program. There was a significant improvement in the global rating score (3 ± 1 versus 5 ± 1, P = 0.0045). Participants felt more confident performing a microsurgical anastomosis following the training program. Conclusion: The use of the Konjac noodle model and video-based assessment using a three-dimensional printed model is an effective teaching tool that improves resident's microsurgical skills.