Abstract
The invasion of tumor cells into healthy tissue is a highly complex process involving
several scales, from the microscopic to the macroscopic level. Furthermore, most of the
events taking place on the various scales are still not completely understood. In this work,
we focus on glioma, a particularly invasive brain tumor, whose evolution, owing to the
peculiarities of the nervous tissue structures, is characterized by highly anisotropic diffusion
and heterogeneous patterns. A multiscale mathematical model for glioma cell migration,
proliferation and therapy, is proposed. Starting from the microscopic description of the
binding process between tumor cells and ECM, we derive a macroscopic model, using
the parabolic limit and the Hilbert expansions in the mesoscopic moment system [1]. To
asses the role of the nervous fibers in tumor migration, we perform an extensive study
about the fiber density function [2], comparing different possible expressions, intending to
understand their specific capability in describing the actual fiber distribution. Finally,
some numerical simulations, based on real data of brain geometry and cell diffusivity,
show how tumor migration is influenced by the different modeled processes.
| Original language | English |
|---|---|
| Title of host publication | PROCEEDINGS OF Società Italiana di Matematica Applicata ed Industriale (SIMAI) 2020+21 THE XV BIANNUAL CONGRESS OF SIMAI |
| Pages | 251 |
| Number of pages | 1 |
| Publication status | Published - Oct 2021 |
Fields of science
- 101 Mathematics
- 101013 Mathematical logic
- 101024 Probability theory
- 102001 Artificial intelligence
- 102003 Image processing
- 102019 Machine learning
- 102035 Data science
- 603109 Logic
- 202027 Mechatronics