This work evaluates the predictive ability of a novel personalized computational tool for
simulating the growth of brain tumours using the neuroimaging data collected during one …

Purpose The present work introduces a novel method for approximating mass effect of
primary brain tumors. Methods The spatio-temporal dynamics of cancerous cells are …

Mathematical modeling of cerebral tumor growth is of great importance in clinics. It can help
in understanding the physiology of tumor growth, future prognosis of tumor shape and …

Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the
prognosis is poor. A multidisciplinary approach combining mathematical, clinical and …

Glioblastoma multiforme (GBM) is the most aggressive and malignant among brain tumors.
In addition to uncontrolled proliferation and genetic instability, GBM is characterized by a …

In this work, we develop a computational tool to predict the patient‐specific evolution of a
highly malignant brain tumour, the glioblastoma multiforme (GBM), and its response to …

In this article, we propose a framework for modeling glioma growth and the subsequent
mechanical impact on the surrounding brain tissue (mass-effect) in a medical imaging …

A novel explicit triscale reaction-diffusion numerical model of glioblastoma multiforme tumor
growth is presented. The model incorporates the handling of Neumann boundary conditions …

Intensive glioma tumor infiltration into the surrounding normal brain tissues is one of the
most critical causes of glioma treatment failure. To quantitatively understand and …

A multiscale model for glioma spread in brain tissue under the influence of vascularization
and vascular endothelial growth factors is proposed. It accounts for the interplay between …