Tumor Growth and Treatment Planning: A Novel Simulation Approach

TL;DRAbstract

The aim of this contribution is to outline the way how methods of systems analysis, control theory and computer science can be applied to simulate cell growth and to optimize cancer treatment. Based on biological observations and cellkinetic data, our group has constructed an oversimplified cell-cycle model describing the spatial (3D) and temporal growth of a tumor spheroid in a nutrient medium. This growth model has been extended by an irradiation model based on the linear-quadratic survival function, which enables the study of the radiation effect on tumor cells. Different clinical fractionation schemes (standard, super-, hyperfractionation, irradiation with a weekly high single dose) have been applied to different in-vitro growing tumor spheroids. As a result, an individual optimal treatment schedule was gained. In order to minimize the radiation effect on normal cells, we are at present constructing compartment models describing the growth and renewal of rapidly-proliferating as we

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