Brain-related experiments are limited by nature, and so biological insights are often limited
or absent. This is particularly problematic in the context of brain cancers, which have very …

Diffusion tensor imaging (DTI) has been advocated as a promising tool for delineation of the
extent of tumor infiltration by primary brain tumors. First reports show conflicting results …

Purpose To prospectively investigate the capabilities of texture analysis (TA) based on
apparent diffusion coefficient (ADC) map of the entire tumor volume and the whole volume of …

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 …

Gliomas are the most common primary brain tumors and yet almost incurable due mainly to
their great invasion capability. This represents a challenge to present clinical oncology …

In this work, we present and investigate a multiscale model to simulate 3D growth of
glioblastomas (GBMs) that incorporates features of the tumor microenvironment and derives …

We propose a new model to simulate the growth of glioblastomas multiforma (GBM), the
most aggressive glial tumors. This model relies upon an anatomical atlas including white …

Tumor progression modeling offers the potential to predict tumor-spreading behavior to
improve prognostic accuracy and guide therapy development. Common simulation methods …

Glioma is the most aggressive type of brain cancer. Several mathematical models have
been developed towards identifying the mechanism of tumor growth. The most successful …

Simple Summary Mathematical tumor growth models have been proposed for decades to
capture the growth of gliomas, an aggressive form of brain tumor. However, the estimation of …