Implementación de un modelo matemático para predecir el impacto de la terapia oncológica secuencial con radiación ionizante y calor

Abstract

Cancer is a major global health problem with 19.3 million new cases and 10.0 million deaths worldwide (in 2020 alone). Treatments that are effective in treating it have been tried for decades. For example, radiotherapy (RT). Although it is the most effective therapy for tumor reduction, it is toxic and produces side effects such as skin loss, fatigue, nausea, hair loss, even induction of new malignant neoplasms. There is also thermotherapy (HT), which has been considered an important radiosensitizer. This therapy has become one of the most important, due to the results it presents in combination with radiation and its therapeutic application has been increasing. The efficiency of the combined HT+RT treatment depends on the sequence of the treatments, the time between them, obtaining the best results for the patient when the two modalities are applied simultaneously. Nevertheless, clinical implementation of concurrent therapy is difficult. In terms of the mathematical modeling of the results of the treatments, different models are found in the literature that describe the survival of the cells to the treatments of HT and RT individually and in combination. The present work seeks to contribute to the implementation of this modified Jung model, called "Unified Model" (Model U) through the implementation and validation of the model with cell survival data extracted from the literature and our own*, comparing the results obtained. for model U, with models LQ and Jung.