3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training

Area of Science:

• Neurosurgery
• Medical Technology
• Biomedical Engineering

Background:

• Accurate spatial understanding of intracranial structures is crucial for neurosurgical success.
• Traditional methods for spatial perception in neurosurgery have limitations.
• Three-dimensional (3D) printing offers enhanced visualization and tactile feedback.

Purpose of the Study:

• To review the development of 3D-printed neurosurgical disease models.
• To discuss the current applications of these models in clinical practice.
• To highlight the advancements that enable their integration into neurosurgery.

Main Methods:

• Literature review of 3D printing technology in neurosurgery.
• Analysis of recent advances in model precision, texture, speed, and cost.
• Synthesis of information on clinical applications in planning, simulation, and training.

Main Results:

• 3D printing technology has significantly improved the realism and accessibility of neurosurgical models.
• Key barriers such as precision, texture, production speed, and cost have been overcome.
• 3D-printed models are poised for widespread adoption in neurosurgical workflows.

Conclusions:

• 3D-printed neurosurgical disease models represent a significant advancement in medical technology.
• These models are ready for routine application in neurosurgical planning, simulation, and training.
• The technology facilitates safer and more effective neurosurgical interventions.