Funding (ICMUB): 950 000 €
Duration: 2025-2028
Scientific leader ICMUB: Alain LALANDE (coordinator)
Summary
Aortic dissection is a serious condition in which a tear within the inner layers of the aorta allows blood to flow into the vessel wall, creating a true and a false lumen. The principal risk associated with this condition is the wall rupture. According to the Stanford classification, there are two types of aortic dissections: Type A, which affects the ascending aorta (just after the heart), and Type B, which involves the descending aorta. The risk of rupture is significantly lower for a Type B dissection, but it is still considered as a medical emergency (contrary to type A dissection that is a surgical emergency). Type B dissections require close monitoring through imaging. Anatomical analysis alone is insufficient to predict whether the Type B dissection will progress into an aneurysm requiring surgical intervention. Biomechanical constraints, aortic tissue composition, and blood markers serve as complementary parameters to better assess the progression of an aortic dissection. The primary objective of the ADEPT project (Aortic Dissection Evaluation Prediction from Digital Twin) is to develop a patient-specific digital twin model that can identify high-risk areas through a multifactorial approach and anticipate aneurysmal evolution in Type B aortic dissections. Using a specific dataset—including histological, biomechanical, and imaging data (particularly 4D flow MRI), as well as numerical simulations and blood markers (in both the acute and/or chronic phase)—a three-dimensional model of the aorta will be created, highlighting high-risk zones. The validation of this model will be conducted using synthetic aortic phantoms generated from the modelling of the aorta in 3D obtained through 4D flow MRI images. The multifactorial solution developed from this multidisciplinary project could be clinically applied as medical software solution to personalize the treatment pathway for each patient with a Type B aortic dissection.
Total projected cost: €4.8M
EU funding allocated: €3.8M
Partners:
- CHU Dijon
- Société CASIS (Quetigny, France)
- Société ennoïa (Besançon, France)