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This study aimed to provide an updated evidence of superior hypophyseal artery (SHA) aneurysms management, including their clinical implications, predictive factors for rupture, therapeutic approaches, and post-treatment outcomes. This systematic review and meta-analysis, following PRISMA guidelines, assessed the literature on superior hypophyseal artery aneurysms. Studies were selected based on predefined criteria, focusing on coiling and clipping interventions.

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Objectives: Aneurysmal subarachnoid haemorrhage (ASAH) is a severe stroke type, preventable by screening for intracranial aneurysms followed by treatment in high-risk individuals. We aimed to develop and validate a risk prediction model for ASAH in the general population to identify high-risk individuals.

Design: We used the population-based prospective cohort studies of the United Kingdom (UK) Biobank for model development and the Trøndelag Health (HUNT) Study for model validation.

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Background: Abdominal aortic aneurysm (AAA) is characterized by the proteolytic breakdown of the extracellular matrix, leading to dilatation of the aorta and increased risk of rupture. Biomarkers that can predict major adverse aortic events (MAAEs) are needed to risk stratify patients for more rigorous medical treatment and potential earlier surgical intervention.

Objectives: The primary objective was to identify the association between baseline levels of these biomarkers and MAAEs over a period of 5 years.

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Background: Wall shear stress (WSS) plays a crucial role in the natural history of intracranial aneurysms (IA). However, spatial variations among WSS have rarely been utilized to correlate with IAs' natural history. This study aims to establish the feasibility of using spatial patterns of WSS data to predict IAs' rupture status (i.

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