Construction and validation of a predictive model for intraoperative rupture risk in microscopic surgical clipping of intracranial aneurysms

Key Points

• Intraoperative rupture risk is predicted through the use of a reliable nomogram, enhancing surgical outcomes.
• The model enables personalized risk assessment, particularly for high-risk intracranial aneurysm patients.
• Assessment utilizes a predictive model for tailoring surgical strategies to individual patient needs.
• Optimizing surgical approaches may increase overall safety and efficacy in high-risk cases.

Abstract