Session Item

Mathematical modeling has played an important role in developing hypotheses to be tested in clinical trials using radiation therapy and for optimizing their design. Especially in the area of accelerated fractionation and hypofractionation, radiobiological models have played a central role in trial design and estimating the therapeutic benefit of different treatment approaches.

However, the increasing complexity of treatment regimen and the use of biological agents in combination with radiotherapy have emphad the need for approaches encompassing the entire treatment, not only the radiotherapy.

In this talk we will introduce available tools to perform dynamic simulations of blood flow to investigate radiation-induced lymphocyte depletion and its dependence on fractionation and dose rate. Furthermore we will discuss available mathematical frameworks for modeling immunotherapy - radiotherapy combination regimen and resistance development to oncogene-targeted agents.