[en] Introduction: Tumor control is the principal aim of curative radiotherapy. For the last decades great advances have been achieved on radiotherapy for delivering highly conformal dose distributions allowing for dose escalation to the most resistant areas. In order to adequately develop strategies for the redistribution of dose (or dose boosting), the predicted effectiveness of the created dose distribution should be quantified in terms of tumor control. In 1999 Sánchez-Nieto and Nahum introduced the concept of the ΔTCP DVH-bin-based model. The aim of their work was to provide a tool to quantitatively evaluate the influence of delivering non-uniform dose to a tumor and evaluate how this affects the probability of controlling that tumor. In this work, we propose a ΔTCP voxel-based model using the patient information and the computational tools available nowadays. The developed tool evaluates the impact on the TCP of different dose distributions with the possibility of incorporating information about the oxygen distribution and number of clonogens within a voxel in the target.