On the prediction of intracranial aneurysm rupture: a statistical analysis of the use of wall curvature-based morphological parameters

• Grant number: 25/00971-3
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2025
• End date: March 31, 2026
• Field of knowledge: Engineering - Biomedical Engineering - Bioengineering
• Principal Investigator: Iago Lessa de Oliveira
• Grantee: Sofia Fernandes Joaquim
• Host Institution: Faculdade de Engenharia (FE). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
• Associated research grant: 23/06609-9 - Numerical Simulation of Intracranial Aneurysms Flow: An Investigation on Wall Curvature and Microsurgical Clips Effects in their Hemodynamics and Wall Mechanics, AP.R

Abstract

Intracranial aneurysms are dilations in the brain arteries that can rupture, causing severe hemorrhages. The decision to treat an aneurysm is based on factors such as size and location. However, the prediction of an aneurysm rupture likelihood is still a challenge. In this context, this project aims to investigate the relationship between morphological metrics of saccular aneurysms, mainly metrics based on the curvature of the aneurysm wall, and the rupture status. We will use a dataset of 100 aneurysms available in the Aneurisk repository. Shape and curvature metrics will be calculated, and a statistical analysis will be performed to identify the metric that best correlates with ruptured status. The results of this study may help identify more assertive metrics to predict the rupture likelihood of a patient-specific intracranial aneurysm. These metrics could, subsequently, be included in computational tools that assess the rupture potential of aneurysms, helping neurosurgeons in their decisions on treating or not a new aneurysm case.