Probabilistic risk analysis of radiotherapy application

In this thesis, we have worked on probabilistic risk analysis method for radiotherapy applications to evaluate the stages of high risk and to improve the implementation procedures. Radiotherapy consists of many steps in terms of preparation and application. Errors that occurred during the treatment procedures applied, radiotherapy has caused many incident from past to present. In this study, probabilistic risk analysis was performed by fault tree method (FTA) in department of radiotherapy. In this study, the workflow in the radiotherapy clinic was determined. This process was performed by dividing the clinical application into three sections as simulation (fixation and imaging), treatment planning (dose planning) and treatment delivery. The fault tree was drawn in SAPHIRE software with the help of international accident reports and clinical observations. Error probabilities were determined by the expert evaluation method and then all data entered the software. Qualitative and quantitative results were obtained on the weaknesses of the system, areas required to be improved, error distribution, and reliability. Studies were conducted on the development of quality management in order to reduce the risk of malpractice, injury or even death.