Section: Research Program

Multiscale models in oncology

Project-team positioning

Cancer modeling is the major topic of several teams in France and Europe, including Mamba, Monc and Asclepios to quote only a few Inria teams. These teams try to model metastasis, tumoral growth, vascularisation through angiogenesis, or to improve medical images quality. Their approaches are based on dynamical systems, partial differential equations, or on special imagery techniques.

Numed focuses on the link between very simple partial differential equations models, like reaction diffusion models, and clinical data.

Results

We managed to build a clinical database, which gathers clinical data from about twenty different patients which were treated in Lyon Hospital. For each patient, we have five to twenty different MRIs. Each MRI has been segmented manually by A. Peters, and checked by Dr Ducray. There are about two hundred different MRIs.

With this database, we can try to parametrize various models of glioma, thanks to the population parametrization techniques developed under axis 2. We are currently trying to parametrize a simple reaction diffusion model for the decay of glioma after chemotherapy [7].