The space child neonatal trainer (SCNT)-A novel 3D-Printed simulator for neonatal laparoscopy

Area of Science:

• Medical Simulation
• Pediatric Surgery
• 3D Printing Technology

Background:

• Neonatal laparoscopic surgery presents unique training challenges due to limited workspace and anatomical realism in current simulators.
• The Space Child Neonatal Trainer (SCNT) was developed as a low-cost, 3D-printed solution using patient-specific data.

Purpose of the Study:

• To develop and evaluate the SCNT for enhanced anatomical accuracy and training realism in neonatal laparoscopic surgery.
• To assess the SCNT's usability and effectiveness compared to existing simulators.

Main Methods:

• The SCNT was created using anonymized neonatal CT scans, 3D modeling software, and 3D printing with optimized infill density.
• Evaluations included a skills workshop with residents and expert surgeons, and a comparative study with medical students assessing task performance and technical skills.

Main Results:

• Participants reported high anatomical fidelity and usability for the SCNT.
• Comparative analysis showed similar performance between SCNT and the Pediatric Laparoscopic Simulator (PLS), with PLS showing slightly better tissue handling.
• Mechanical testing and surgeon feedback confirmed optimal material properties for haptic realism.

Conclusions:

• The SCNT is a realistic, affordable, and anatomically precise trainer for neonatal laparoscopic procedures.
• Initial findings support its utility in pediatric surgical education, warranting further validation.