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 …

Background It is unclear what morphological features of brain aneurysms are better at
predicting risk of rupture. We conducted a meta‐analysis to analyze the best morphological …

Background To investigate the prevalence of small ruptured saccular intracranial aneurysms
(sIA) in a Chinese cohort and to identify factors associated with rupture status of sIAs …

Purpose The morphological and hemodynamic features of patients with vertebral artery
dissecting aneurysms (VADAs) are yet unknown. This study sought to elucidate …

Objectives To identify the morphologic and hemodynamic risk factor of mirror middle
cerebral artery (MCA) aneurysms. Methods We conducted a retrospective analysis of 40 …

Objective: Posterior communicating artery bifurcation aneurysms (PcomA-BAs) and
infundibular dilations (PcomA-IDs) are found at the junction between the internal carotid …

Objective Accurate prediction of cerebral aneurysm (CA) rupture is of great significance. We
intended to evaluate the accuracy of the point cloud neural network (PC-NN) in predicting …

Objectives To identify hemodynamic risk factors for intracranial aneurysm rupture and
establish a predictive model to aid evaluation. Methods We analyzed the hemodynamic …

Discordant findings were frequently reported by studies dedicated to exploring the
association of morphological/hemodynamic factors with the rupture of intracranial …

Purpose To evaluate the performance of Pipeline Embolization Device (PED) in complex,
wide-necked middle cerebral artery (MCA) bifurcation aneurysms. Methods We performed a …