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Stochastic Model for Tumor Control Probability: Effects of Cell Cycle and (A)symmetric Proliferation by Dhawan, Andrew; Kaveh, Kamran; Kohandel, Mohammad; Sivaloganathan, Siv is a scholarly article available to read on EtoBox.

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Estimating the required dose in radiotherapy is of crucial importance since the administrated dose should be sufficient to eradicate the tumor and at the same time should inflict minimal damage on normal cells. The probability that a given dose and schedule of ionizing radiation eradicates all the tumor cells in a given tissue is called the tumor control probability (TCP), and is often used to compare various treatment strategies used in radiation therapy. In this paper, we aim to investigate the effects of including cell-cycle phase on the TCP by analyzing a stochastic model of a tumor comprised of actively dividing cells and quiescent cells with different radiation sensitivities. We derive an exact phase-diagram for the steady-state TCP of the model and show that at high, clinically-relevant doses of radiation, the distinction between active and quiescent tumor cells (i.e. accounting for cell-cycle effects) becomes of negligible importance in terms of its effect on the TCP curve. However, for very low doses of radiation, these proportions become significant determinants of the TCP. Moreover, we use a novel numerical approach based on the method of characteristics for partial diff

Author

Dhawan, Andrew; Kaveh, Kamran; Kohandel, Mohammad; Sivaloganathan, Siv

Published

2013

Language

EN