Rupture status discrimination in intracranial aneurysms using the centroid-radii model

Area of Science:

• Neurosurgery
• Medical Imaging
• Biomedical Engineering

Background:

• Intracranial aneurysms pose significant rupture risks, leading to high morbidity and mortality.
• Accurate prediction of rupture risk, especially for asymptomatic aneurysms, remains a clinical challenge.
• Traditional size-based assessments are insufficient; shape analysis shows promise in differentiating rupture likelihood.

Purpose of the Study:

• To introduce the centroid-radii model (CRM) for comprehensive aneurysm size and shape description.
• To evaluate the efficacy of CRM entropy as a novel descriptor for intracranial aneurysm rupture status.
• To compare CRM entropy's performance against existing size and shape indexes.

Main Methods:

• Development and application of the centroid-radii model (CRM) to describe aneurysm geometry.
• Calculation of CRM entropy as a quantitative measure of aneurysm shape.
• Analysis of 154 patient-derived saccular aneurysms, categorized into sidewall and bifurcation subtypes.

Main Results:

• CRM entropy demonstrated strong performance in discriminating aneurysm rupture status.
• Classification accuracy for rupture status reached 80.3% in sidewall aneurysms and 70.5% in bifurcation aneurysms.
• CRM entropy outperformed commonly used size and shape indexes as a single predictive measure.

Conclusions:

• The entropy of the centroid-radii model is a highly accurate and robust descriptor for intracranial aneurysm rupture risk.
• CRM entropy provides a valuable tool for risk stratification, particularly for sidewall and bifurcation aneurysms.
• This shape analysis method offers a promising advancement over traditional size-based risk assessment.