It is possible to identify unruptured intracranial aneurysms (UIA) using machine learning
(ML) algorithms, which can be a life-saving strategy, especially in high-risk populations. To …

Abstract Machine learning (ML) has revolutionized data processing in recent years. This
study presents the results of the first prediction models based on a long-term monocentric …

The endovascular intervention technique has gained prominence in the treatment of
intracranial aneurysms due to its minimal invasiveness and shorter recovery time. A critical …

Objective: The aim of this paper is to investigate the risk factors associated with
intraoperative brain bulge (IOBB), especially the computed tomography (CT) value of the …

Background Intracranial aneurysm (IA) is a nodular protrusion of the arterial wall caused by
the localized abnormal enlargement of the lumen of a brain artery, which is the primary …

Intracranial aneurysm is a high-risk disease, with imaging playing a crucial role in their
diagnosis and treatment. The rapid advancement of artificial intelligence in imaging …

Purpose The T cell-inflamed gene expression profile (GEP) quantifies 18 genes' expression
indicative of a T-cell immune tumor microenvironment, playing a crucial role in the …

The aim of this study was to investigate the plasma proteome in individuals with intracranial
aneurysms (IAs) and identify biomarkers associated with the formation and rupture of IAs …

Background Presently, a consistent strategy for determining the stability of unruptured
intracranial aneurysms (UIAs) in elderly patients is lacking, primarily due to the unique …

In this issue of European Radiology, a neurovascular team from the Netherlands presents
interesting results from a longitudinal study of gadolinium-enhanced aneurysm wall imaging …