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Comput Math Methods Med. 2012;2012:363564. doi: 10.1155/2012/363564. Epub 2012 Jun 19.

The HYP-RT hypoxic tumour radiotherapy algorithm and accelerated repopulation dose per fraction study.

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School of Chemistry and Physics, University of Adelaide, Adelaide, SA 5005, Australia.


The HYP-RT model simulates hypoxic tumour growth for head and neck cancer as well as radiotherapy and the effects of accelerated repopulation and reoxygenation. This report outlines algorithm design, parameterisation and the impact of accelerated repopulation on the increase in dose/fraction needed to control the extra cell propagation during accelerated repopulation. Cell kill probabilities are based on Linear Quadratic theory, with oxygenation levels and proliferative capacity influencing cell death. Hypoxia is modelled through oxygen level allocation based on pO(2) histograms. Accelerated repopulation is modelled by increasing the stem cell symmetrical division probability, while the process of reoxygenation utilises randomised pO(2) increments to the cell population after each treatment fraction. Propagation of 10(8) tumour cells requires 5-30 minutes. Controlling the extra cell growth induced by accelerated repopulation requires a dose/fraction increase of 0.5-1.0 Gy, in agreement with published reports. The average reoxygenation pO(2) increment of 3 mmHg per fraction results in full tumour reoxygenation after shrinkage to approximately 1 mm. HYP-RT is a computationally efficient model simulating tumour growth and radiotherapy, incorporating accelerated repopulation and reoxygenation. It may be used to explore cell kill outcomes during radiotherapy while varying key radiobiological and tumour specific parameters, such as the degree of hypoxia.

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