We study optimal radiotherapy fractionations for low-grade glioma using mathematical
models. Both space-independent and space-dependent models are studied. Two different …

Grade II gliomas are slowly growing primary brain tumors that affect mostly young patients.
Cytotoxic therapies (radiotherapy and/or chemotherapy) are used initially only for patients …

Low-grade gliomas (LGGs) are a group of primary brain tumours usually encountered in
young patient populations. These tumours represent a difficult challenge because many …

We optimize radiotherapy (RT) administration strategies for treating low-grade gliomas.
Specifically, we consider different tumour growth laws, both with and without spatial effects …

Gliomas, the most common primary brain tumors, are diffusive and highly invasive. The
standard treatment for brain tumors consists of a combination of surgery, radiation therapy …

Grade II gliomas are slowly growing primary brain tumours that affect mostly young patients
and become fatal after a variable time period. Current clinical handling includes surgery as …

Background. We present a mathematical model for grade II glioma progression and
response to radiotherapy (RT) able to predict the long-time response to treatment. Materials …

We address a non-linear programming problem to find the optimal scheme of dose
fractionation in cancer radiotherapy. Using the LQ model to represent the response to …

The prognosis of malignant gliomas has not changed much over the last few decades
despite refinements in neurosurgical techniques, high-precision radiotherapy, and newer …

Gliomas differ from many other tumors as they grow infiltratively into the brain parenchyma
rather than forming a solid tumor mass with a well-defined boundary. Tumor cells can be …