Proof of model-based cardiovascular prediction in clinical settings

What is the project motivation?

The rapid development of modelling and hardware tools promises an ability of a patient specific modelling of blood flow in a human blood circulation. Thanks to EU-funded projects, such as Virtual Human Project or e-Heart, the first modelling tools are available. We aim to prove the ability of modelling tools to work in clinical settings by a validation of modelling predictions for two groups of patients: patients with an aortic valve disease and patients with a narrowing of the aorta called coarctation that is a congenital heart disease.

What clinicians are expecting from modelling?

We are expecting more precise and differentiated diagnoses based on non-in- vasive imaging data such as Magnetic Resonance Imaging. This would enable clinicians to avoid or reduce invasive catheterization procedures. Modelling of blood flow could also provide additional new hemodynamic information, for example the distribution of wall shear stress  a force with which blood flow acts on the vessel wall. Furthermore, we are expecting virtual treatment tools allowing the prediction of the post treatment situations and thus improving treatment procedures. Finally, we are hoping for an improvement of a long-term outcomes and hence quality of life and life expectancy for patients.

Authors: Marcus Kelm and Leonid Goubergrits