Mathematical models for low-grade gliomas predict alternative radiotherapy fractionations
with improved survival Page 1 Mathematical models for low-grade gliomas predict …

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 …

Introduction: The optimal management of grade II gliomas (LGGs) remains controversial,
and only limited definitive data is available to guide recommendations. Radiation therapy is …

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

Results: The model fits the clinical data well, for all groups of patients. The probability
distribution of surviving fraction of tumour cells after each fraction of radiotherapy, which is …

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 …

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, 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 …