Background Intracranial aneurysms (IAs) are vascular dilations on cerebral vessels that
affect between 1%–5% of the general population, and can cause life-threatening intracranial …

To evaluate the relationship between wall shear stress (WSS) magnitude and cerebral
aneurysm rupture and provide new insight into the disparate computational fluid dynamics …

Purpose—The aim of this updated statement is to provide comprehensive and evidence-
based recommendations for management of patients with unruptured intracranial …

Purpose To construct a classification model of rupture status and to clarify the importance of
morphologic variables and hemodynamic parameters on rupture status by applying a …

Image-based hemodynamic simulations to assess the rupture risk or improve the treatment
planning of intracranial aneurysms have become popular recently. However, due to strong …

Abstract Machine learning (ML) as a novel approach could help clinicians address the
challenge of accurate stability assessment of unruptured intracranial aneurysms (IAs). We …

Purpose Image-based blood flow simulations are increasingly used to investigate the
hemodynamics in intracranial aneurysms (IAs). However, a strong variability in …

Objective To identify clinical, morphological, and hemodynamic independent characteristic
factors that discriminate posterior communicating artery (PCoA) aneurysm rupture status …

Hemodynamic simulations are restricted by modeling assumptions and uncertain initial and
boundary conditions, whereas Phase-Contrast Magnetic Resonance Imaging (PC-MRI) data …

Objective We have previously developed three logistic regression models for discriminating
intracranial aneurysm rupture status from 119 aneurysms based on hemodynamic …