A simple mathematical model of cyclic hypoxia and its impact on hypofractionated radiotherapy
Edward Taylor

TL;DR
This paper presents a simple mathematical model to understand how cyclic hypoxia affects the effectiveness of hypofractionated radiotherapy, revealing that oxygen fluctuations can significantly impact tumor cell survival and treatment efficacy.
Contribution
It introduces a novel mathematical framework that incorporates cyclic hypoxia kinetics into radiotherapy response modeling, providing new insights into treatment planning.
Findings
Inter-fraction oxygen fluctuations increase clonogen survival by 1-2 logs.
Most ultra-hypofractionated regimens have similar iso-efficacy.
Complete reoxygenation assumptions overestimate cell killing loss.
Abstract
There is evidence that the population of cells that experience fluctuating oxygen levels are more radioresistant than chronically hypoxic ones and hence, this population may determine radiotherapy (RT) response, in particular for hypofractionated RT, where reoxygenation may not be as prominent. A considerable effort has been devoted to examining the impact of hypoxia on hypofractionated RT; however, much less attention has been paid to cyclic hypoxia specifically and the role its kinetics may play in determining the efficacy of these treatments. Here, a simple mathematical model of cyclic hypoxia and fractionation effects was worked out to quantify this. Cancer clonogen survival fraction was estimated using the linear quadratic model, modified to account for oxygen enhancement effects and inter-fraction tissue oxygen kinetics. The resulting survival fraction formula was used to derive…
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Taxonomy
TopicsCancer, Hypoxia, and Metabolism · Medical Imaging Techniques and Applications · Cancer Genomics and Diagnostics
