<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Computer simulation of the radiation response\r\nof hypoxic tumours"^^ . "In radiotherapy, it is important to predict the response of tumours to irradiation prior to the\r\ntreatment. This is especially important for hypoxic tumours, which are known to be highly radioresistant.\r\nMathematical modelling based on the dose distribution and biological input parameters\r\nmay help to improve this prediction and to optimize the treatment plan. In this work a radiobiological\r\nmodel was developed, which simulates the growth and the response to radiotherapy of\r\ntumours considering patient‐specific information of the tumour. The model is based on voxels,\r\ncontaining tumour, capillary, normal and dead cells. Radiation‐induced killing of tumour cells is\r\ncalculated by the Linear‐Quadratic Model (extended for considering hypoxia). Proliferation and\r\nresorption of cells are modelled by exponential laws. Computed tomography, positron emission\r\ntomography and magnetic resonance imaging may be used for the initial characterisation of the\r\ntumour. To simulate the response of hypoxic tumours properly, special emphasis was put on the\r\ndescription of the intratumoural oxygenation. For this, a second complementary model was\r\ndeveloped to simulate the microscopic oxygen distribution, considering as input the vascular\r\nfraction per voxel, which is in principle measurable non‐invasively in patients, and assuming\r\ncertain vascular architectures. The oxygen distribution is obtained by solving a reaction‐diffusion\r\nequation using the Particle Strength Exchange method. Including the fractionation regime and the\r\nplanned dose distribution of the radiation treatment, the spatial‐temporal behaviour of the\r\ntumour is simulated. The model describes the appearance of hypoxia during tumour growth and\r\nthe reoxygenation processes during radiotherapy. Among other parameters, the tumour control\r\nprobability can be calculated. The sensitivity of the tumour response on the values of different\r\nparameters is systematically studied. The results are in accordance with published results. Prior to\r\nclinical application, the model has to be further validated with experimental and clinical data."^^ . "2013" . . . . . . . "Ignacio Guillermo"^^ . "Espinoza Bornscheuer"^^ . "Ignacio Guillermo Espinoza Bornscheuer"^^ . . . . . . "Computer simulation of the radiation response\r\nof hypoxic tumours (PDF)"^^ . . . "espinoza.pdf"^^ . . . "Computer simulation of the radiation response\r\nof hypoxic tumours (Other)"^^ . . . . . . "indexcodes.txt"^^ . . . "Computer simulation of the radiation response\r\nof hypoxic tumours (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Computer simulation of the radiation response\r\nof hypoxic tumours (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Computer simulation of the radiation response\r\nof hypoxic tumours (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Computer simulation of the radiation response\r\nof hypoxic tumours (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #15341 \n\nComputer simulation of the radiation response \nof hypoxic tumours\n\n" . "text/html" . . . "000 Allgemeines, Wissenschaft, Informatik"@de . "000 Generalities, Science"@en . . . "530 Physik"@de . "530 Physics"@en . .