Glioma, especially glioblastoma, is a leading cause of brain cancer fatality involving highly
invasive and neoplastic growth. Diffusive models of glioma growth use variations of the …

Tumor growth models based on the FisherKolmogorov reaction-diffusion equation (FK) have
shown convincing results in reproducing and predicting the invasion patterns of gliomas …

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 …

Applying diffusive models for simulating the spatiotemporal change of concentration of
tumour cells is a modern application of predictive oncology. Diffusive models are used for …

Glioblastoma multiforma (GBM) is one of the most aggressive tumors of the central nervous
system. It can be represented by two components: a proliferative component with a mass …

Gliomas are a class of rarely curable tumors arising from abnormal glia cells in the human
brain. The understanding of glioma spreading patterns is essential for both radiological …

Gliomas are primary brain tumours arising from the glial cells of the nervous system. The
diffuse nature of spread, coupled with proximity to critical brain structures, makes treatment a …

Glioma is one of the most aggressive types of brain tumor. Several mathematical models
have been developed during the past two decades, toward simulating the mechanisms that …

Glioma is a broad class of brain and spinal cord tumors arising from glia cells, which are the
main brain cells that can develop into neoplasms. They are highly invasive and lead to …

Tumor growth models have the potential to model and predict the spatiotemporal evolution
of glioma in individual patients. Infiltration of glioma cells is known to be faster along the …