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

Area of Science:

• Medical Education
• Surgical Simulation
• Microsurgery

Background:

• Microsurgical skills are crucial and require effective training models.
• High-fidelity simulation models often face challenges due to cost and ethical considerations.
• The Konjac noodle presents a novel, low-cost simulation alternative.

Purpose of the Study:

• To evaluate the feasibility and effectiveness of a microsurgical training platform utilizing the Konjac noodle model.
• To assess the impact of this training on residents' microsurgical skills.
• To determine if this simulation method improves confidence in performing microsurgical procedures.

Main Methods:

• A prospective cohort study involving 10 plastic surgery residents.
• Development of a progressive microsurgical training curriculum.
• Utilized a 3D-printed platform for recording training and assessment tasks.
• Employed the University of Western Ontario Microsurgical Skills Assessment instrument for blind skill evaluation pre- and post-training.

Main Results:

• Significant improvements were observed in vessel preparation (P = 0.0035) and suturing (P = 0.0047) domains.
• A significant increase in the global rating score was noted (P = 0.0045).
• Participants reported increased confidence in performing microsurgical anastomosis post-training.

Conclusions:

• The Konjac noodle model is a feasible and effective tool for microsurgical skills training.
• Video-based assessment integrated with a 3D-printed platform enhances resident proficiency.
• This simulation approach offers a cost-effective and accessible method for improving microsurgical competence.