Injecting realism in surgical training-initial simulation experience with custom 3D models.

Area of Science:

• Neurosurgery
• Medical Education
• 3D Printing Technology

Background:

• Traditional surgical training relies on direct expert supervision, which is becoming increasingly challenging.
• Advancements in 3D printing allow for the creation of accurate patient-specific models from imaging data.
• These models can replicate pathologies, enabling simultaneous training for multiple surgeons on realistic simulations.

Purpose of the Study:

• To evaluate the efficacy of 3D-printed patient models in surgical training.
• To assess the usefulness of these models for learning complex neurosurgical procedures.
• To determine if simulation training can enhance surgical skill acquisition.

Main Methods:

• Patient-specific 3D head models with deep-seated thalamic lesions were created using CT and MRI data.
• A surgical training workshop utilized these 3D models as the primary teaching tool.
• Trainees were assessed on procedure completion, time, and number of attempts required for learning.

Main Results:

• All surgical trainees successfully learned the fundamental aspects of the simulated procedure.
• The number of attempts and time to proficiency varied based on trainee seniority and prior experience.
• The models provided a viable platform for practicing intricate surgical techniques.

Conclusions:

• Repetitive practice on 3D-printed models in a simulated setting is crucial for surgical skill mastery.
• This training approach can potentially reduce the learning curve for complex procedures.
• Utilizing 3D models facilitates standardized teaching and assessment methods in surgical education.