Computer models for maximizing tumor cell kill and for minimizing side effects in radiation therapy

doi:https://doi.org/10.1007/978-0-387-34897-1_36

Open AccessBook Chapter10.1007/978-0-387-34897-1_36

Computer models for maximizing tumor cell kill and for minimizing side effects in radiation therapy

W. Düchting,T Ginsberg,W. Ulmer-1996-01-01

TL;DRAbstract

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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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.

Keywords

SpheroidRadiation therapyCancer therapyTumor cellsFeedback controlComputer scienceCancerIn vitro

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