Analisis estadistico de datos de tratamiento en la planificacion de radioterapia

Abstract

[EN] The World Health Organization estimates that cancer was responsible for 9.6 millions deaths worldwide in 2018, becoming the second leading cause of death globally. These amount of deaths has turned cancer in one of the biggest health challenges the world is facing today. Inside this group, it is estimated that there are between 400.000 and 600.000 new head and neck cancers diagnose per year, having a mortality of rate between 223.000 and 300.000 deaths every year. Moreover, during 2018, 296.851 new cases of brain cancer have been diagnose worldwide, consisting in 1.7% of all cancer patients. For these reasons, there has been a huge development of tools and treatments to fight cancer. One of the most important and most used tools today is radiotherapy. As the radiotherapy treatments keep improving, precision has become one of the main concern to obtain an effective treatment. For this reason, the correct position of the cancerous target is extremely important while developing the treatment planning and also while the irradiation is been apply. This positioning is extremely important in the head, neck and brain cancer because of the number of critical tissues that are in this body area. In this thesis, a Matlab application is going to be design in order to analyze and monitor the position changes that appear in head radiation treatments. This tool is going to create a 3D representation of the head volume by using a CT head volume in DICOM format. Once this volume is created, it is going to apply a transformation matrix which describes the head movement of the patient. Then, it is going to calculate the distance of all pixels with respect a reference, indicating which ones have a distance from the reference outside of a given tolerance.

[ES] A traves de una serie datos de error movimiento en pacientes de radioterapia, se realizara un analisis estadistico de los mismos para obtener medidas reales con el objetivo de reducir al maximo posible dichos errores. Para la realizacion del analisis estadistico se ha empleado la herramienta Matlab.