Endovascular procedures for treating brain aneurysms and arteriovenous malformations (AVMs) are becoming increasingly popular due to their less invasive nature and lower risk of complications. However, they still face challenges such as difficult catheter navigation and incomplete embolization. This study aims to improve the efficiency and safety of endovascular procedures by developing new preoperative planning methodologies. These methodologies involve mapping the cerebral vasculature and creating computational fluid dynamics (CFD) and artificial intelligence (AI) models to simulate blood flow. By using these models, interventional radiologists can better plan catheter navigation and predict embolization outcomes. This could lead to faster, more accurate procedures with reduced radiation exposure for patients.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Accuracy of CFD models
Timeframe: 4 year
Identification of important procedure parameters
Timeframe: 6 year
Efficiency of AI-enhanced CFD modelling
Timeframe: 6 year
Cerebral vasculature mapping
Timeframe: 6 year