title: [Mathematical modeling of low-grade glioma].
abstract: Magnetic resonance imaging can be used to quantify low-grade glioma growth with millimetric accuracy. Mathematical modeling helps to analyze individual glioma growth curves and tumor dynamics. Here we focus on the most extensively studied model, based on a proliferation-diffusion equation. We examine how this model offers a new quantitative approach to the natural history of low-grade glioma, including tumor kinetics and other well-known prognostic factors. This approach, based on quantitative imaging coupled with mathematical modeling, has the potential to help optimize treatment strategies.
authors: Neurochirurgie, Hôpital de Lariboisière, 2 rue Ambroise Paré--75010 Paris. mandonnet@mac.com
authors: Emmanuel
authors: E
authors: Mandonnet
mesh_terms: D001932:Brain Neoplasms / Q000473:pathology*; D005910:Glioma / Q000473:pathology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008954:Models, Biological; D011379:Prognosis