New method to calculate the tumor control probability for PPIR

Abstract

The methodology of using numerical methods in medical imaging and radiotherapy for calculations and simulations is very important. We are working for more than 10 years for implementing and developing several numerical methods in MATLAB. Using MATLAB, we can analyze data, develop algorithms, and create models and applications. We finalized the first Albanian module for training and simulation in radiotherapy called PPIR. One of the most important applications of this module is medical images processing, visualization and calculation in radiotherapy. The dose calculation on the PPIR is based on Eudmodel for dose volume histograms (DVH), which in radiotherapy treatment plan evaluation relies on an implicit estimation of the tumor normal tissue complication probability (NTCP) and control probability (TCP). In this work we present another model to determinate the tumor control probability (TCP) by analyzing the interactions of radiation with each tumor cell through virtual simulations. For a homogeneously irradiated tumor with a dose, our simulator determines the TCP using acceptable real-simulations of a fractioned treatment, based on the tumor cell sensitivities of radiation, tumor volume, cell density and number of fractions. We calculated the TCP from virtual simulations of a fractioned treatment as ratio of simulations with 100% of killed cells and total of simulations. The function is compared with Eudmodel and is incorporated with PPIR in a new version of PPIR2019The methodology of using numerical methods in medical imaging and radiotherapy for calculations and simulations is very important. We are working for more than 10 years for implementing and developing several numerical methods in MATLAB. Using MATLAB, we can analyze data, develop algorithms, and create models and applications. We finalized the first Albanian module for training and simulation in radiotherapy called PPIR. One of the most important applications of this module is medical images processing, visualization and calculation in radiotherapy. The dose calculation on the PPIR is based on Eudmodel for dose volume histograms (DVH), which in radiotherapy treatment plan evaluation relies on an implicit estimation of the tumor normal tissue complication probability (NTCP) and control probability (TCP). In this work we present another model to determinate the tumor control probability (TCP) by analyzing the interactions of radiation with each tumor cell through virtual simulations. For a homogeneously irr...