Patient-specific Planning of Minimally Invasive Brain Interventions Based on Vascular-hemodynamic Mapping
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- Who runs it
- University Hospital, Ghent
- Trial code
- NCT06588543
- Record updated
- 13 May 2026
- Original description
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.Read full original descriptionShow less
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.
Inclusion: Subjects who are diagnosed with aneurysm or arteriovenous malformation; Subjects who are treated (or will be treated) with endovascular embolization and/or arteriovenous coiling; During and before/after the subject's intervention, medical images (MRI, 3D rotational angiography, DSA) were collected of the cerebral arterial vascular tree (which can be used to develop patient-specific models), including catheter location and use of contrast fluid to visualize the cerebral to make the arterial tree more visible.
Exclusion: -Procedures during which no imaging was performed.