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Type: Journal article
Title: The HYP-RT hypoxic tumour radiotherapy algorithm and accelerated repopulation dose per fraction study
Author: Harriss-Phillips, W.
Bezak, E.
Yeoh, E.
Citation: Computational and Mathematical Methods in Medicine, 2012; 2012:1-13
Publisher: Hindawi Publishing Corporation
Issue Date: 2012
ISSN: 1748-670X
Statement of
W. M. Harriss-Phillips, E. Bezak, and E. Yeoh
Abstract: 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 pO₂ histograms. Accelerated repopulation is modelled by increasing the stem cell symmetrical division probability, while the process of reoxygenation utilises randomised pO₂ increments to the cell population after each treatment fraction. Propagation of 10⁸ 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 pO₂ 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.
Keywords: Stem Cells; Humans; Head and Neck Neoplasms; Oxygen; Radiotherapy; Radiotherapy Dosage; Dose Fractionation; Monte Carlo Method; Probability; Cell Proliferation; Algorithms; Computer Simulation; Software; Programming Languages; Hypoxia
Description: Extent: 13p.
Rights: Copyright © 2012 W. M. Harriss-Phillips et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
RMID: 0020120698
DOI: 10.1155/2012/363564
Appears in Collections:Physics publications

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