Reaction-Diffusion Models for Glioma Tumor Growth

TL;DR

This paper reviews reaction-diffusion models for glioma tumor growth, highlighting their role in understanding tumor dynamics and aiding personalized treatment planning.

Contribution

It provides a comprehensive overview of reaction-diffusion models applied to gliomas, emphasizing their potential in therapy optimization and addressing tumor heterogeneity.

Findings

Models capture tumor heterogeneity and hypoxia effects

Potential for designing patient-specific therapies

Enhance understanding of tumor invasion dynamics

Abstract

Mathematical modelling of tumor growth is one of the most useful and inexpensive approaches to determine and predict the stage, size and progression of tumors in realistic geometries. Moreover, these models has been used to get an insight into cancer growth and invasion and in the analysis of tumor size and geometry for applications in cancer treatment and surgical planning. The present revision attempts to present a general perspective of the use of models based on reaction-diffusion equations not only for the description of tumor growth in gliomas, addressing for processes such as tumor heterogeneity, hypoxia, dormancy and necrosis, but also its potential use as a tool in designing optimized and patient specific therapies.