Mathematical model suggests a way to assess low grade glioma malignancy

Low grade gliomas (LGGs) are incurable primary brain tumours with typically slow evolution. For management decisions it is essential to
find a method to verify tumours aggressiveness and test their response to
standard therapies with the lowest toxicity possible. We propose a
mathematical model of LGG growth and its response to chemotherapy
which agrees with patients' data. Moreover, we provide estimated formula
for time of tumour response to therapy, which can be used as a measure
of tumour aggressiveness. Finally, we suggest chemotherapy fractionation
scheme that might be therapeutically useful to predict the tumour growth
and further prognosis.