Glioblastoma is the most aggressive and infiltrative glioma, classified as Grade IV, with the
poorest survival rate among patients. Accurate and rigorously tested mechanistic in silico …

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 …

Gliomas are uniformly fatal forms of primary brain neoplasms that vary from low-to high-
grade (glioblastoma). Whereas low-grade gliomas are weakly angiogenic, glioblastomas …

This paper develops a three-dimensional in silico hybrid model of cancer, which describes
the multi-variate phenotypic behaviour of tumour and host cells. The model encompasses …

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 …

Previous studies to simulate brain tumor progression, often investigate either temporal
changes in cancer cell density or the overall tissue-level growth of the tumor mass. Here, we …

We present a framework for black-box and flexible simulation of soft tissue deformation for
medical imaging and surgical planning applications. Our main motivation in the present …

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 …

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 …

When developing an accurate model of the development of glioblastomas multiforme, it is
important to account not only for the invasion and diffusion of tumor cells into healthy tissue …