Comment on - "Simulation training approaches in intracranial aneurysm surgery-a systematic review"

Area of Science:

• Neurosurgery
• Medical Simulation
• Surgical Training

Background:

• Increasing complexity of intracranial aneurysm surgery necessitates advanced training methods.
• Limited hands-on training opportunities for neurosurgical trainees highlight the need for effective simulations.
• This systematic review analyzes 26 studies on simulation training for intracranial aneurysm clipping.

Discussion:

• Current simulation models (ex vivo, VR, 3D-printed) are heterogeneous and lack standardization.
• Existing simulations often fail to replicate the complete microsurgical workflow.
• Validation methods for current simulations are inconsistent, limiting generalizability.

Key Insights:

• Simulation-based training is vital for intracranial aneurysm clipping.
• Existing simulation approaches exhibit significant variability in effectiveness, realism, and usability.
• A lack of standardized validation hinders the reliable assessment of simulation efficacy.

Outlook:

• Develop standardized, cost-effective simulation models with advanced haptic feedback and anatomical detail.
• Establish a universal validation framework for assessing simulation efficacy in neurosurgery.
• Ensure consistent, high-quality training experiences for neurosurgical trainees through improved simulation.