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Low grade gliomas (LGGs) are infiltrative and incurable primary brain tumourswith typically slow evolution. These tumours usually occur in young andotherwise healthy patients, bringing controversies in treatment planning sinceaggressive treatment may lead to undesirable side effects. Thus, for managementdecisions it would be valuable to obtain early estimates of LGG growthpotential. Here we propose a simple mathematical model of LGG growth and itsresponse to chemotherapy which allows the growth of LGGs to be described inreal patients. The model predicts, and our clinical data confirms, that thespeed of response to chemotherapy is related to tumour aggressiveness.Moreover, we provide a formula for the time to radiological progression, whichcan be possibly used as a measure of tumour aggressiveness. Finally, we suggestthat the response to a few chemotherapy cycles upon diagnosis might be used topredict tumour growth and to guide therapeutical actions on the basis of thefindings.

A mathematical model of low grade gliomas treated with temozolomide and its therapeutical implications