Face, Content, and Construct Validity of Brain Tumor Microsurgery Simulation Using a Human Placenta Model

Area of Science:

• Neurosurgery
• Medical Simulation
• Surgical Training

Background:

• Brain tumor resection requires advanced microsurgical skills.
• Realistic simulation models are crucial for enhancing neurosurgical training.
• Improving bimanual technical skills can reduce surgical errors and enhance patient outcomes.

Purpose of the Study:

• To describe and evaluate an ex vivo placental model for brain tumor microsurgery simulation.
• To assess its utility in neurosurgical psychomotor teaching and assessment.

Main Methods:

• Sixteen human placentas were utilized, with simulated tumors created via silicone injections.
• Neurosurgeons and residents performed simulated tumor resections using standard microsurgical instruments.
• Model validity was assessed through subjective evaluations (face, content) and performance analysis (construct).

Main Results:

• The placenta model accurately simulated brain tumor resection procedures with high fidelity.
• The model demonstrated strong face and content validity.
• Statistically significant differences in surgical performance between neurosurgeons and residents confirmed construct validity.

Conclusions:

• Human placentas are validated as effective haptic models for simulating brain tumor microsurgical removal.
• The model exhibits face, content, and construct validity for neurosurgical training.
• This approach offers a promising tool for enhancing psychomotor skills in neurosurgery.