Evidence map›Paper›PMID 22778783›Full record

ArticleComputational and mathematical methods in medicine2012

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

W M Harriss-Phillips, E Bezak, E Yeoh

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

W M Harriss-PhillipsSchool of Chemistry and Physics, University of Adelaide, Adelaide, SA 5005, Australia. wendy.harriss@health.sa.gov.au
E Bezak
E Yeoh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

Dose Fractionation, RadiationHypoxiaAlgorithmsCell ProliferationComputer SimulationHead and Neck NeoplasmsHumansMonte Carlo MethodOxygenProbabilityProgramming LanguagesRadiotherapyRadiotherapy DosageSoftwareStem CellsOxygen

Identifiers

PMID22778783
PMCPMC3385694

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.