Abstract
Previous studies have shown that systems analysis, control theory and computer science can stimulate new approaches to interpret cancer as an unstable closed-loop control circuit, to study tumor growth, and to optimize tumor treatment. The aim of this paper is: 1. modeling the growth of tumor spheroids; 2. simulating different clinical treatment schedules applied to irradiation of in-vitro tumor spheroids; 3. considering the side effects on normal tissue. A comparison of the simulation results with clinical experience demonstrates that the clinical reality can qualitatively be represented by the model. This method enables a reduction of time-consuming studies prior to clinical therapy.
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© 1996 Springer Science+Business Media Dordrecht
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Düchting, W., Ginsberg, T., Ulmer, W. (1996). Computer models for maximizing tumor cell kill and for minimizing side effects in radiation therapy. In: Doležal, J., Fidler, J. (eds) System Modelling and Optimization. IFIP — The International Federation for Information Processing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-34897-1_36
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DOI: https://doi.org/10.1007/978-0-387-34897-1_36
Publisher Name: Springer, Boston, MA
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