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Estimation of the oxygen enhancement ratio for charged particle radiation

pmid: 32413877
The transformative effect of oxygen on conventional x-ray radiotherapy has long been known, with the presence of molecular oxygen boosting treatment efficacy multi-fold. This effect is present too in charged particle therapy, but the boosting potential decreases with increasing linear energy transfer of the incident radiation. With particle modalities such as proton therapy becoming common-place and emerging technologies like carbon-ion therapy on the horizon, it is pertinent to address the additive dose boost gained from molecular oxygen with high energy radiation, and the implications of this for dose planning. This work establishes an empirical model for oxygen enhancement across the radiotherapy energy spectrum, and discusses implications of this for therapy.
- Cancer Research Wales United Kingdom
- Dublin City University Ireland
- Cancer Research UK United Kingdom
- CRUK/MRC Oxford Institute for Radiation Oncology United Kingdom
- University of Oxford United Kingdom
Radiotherapy, Radiotherapy Planning, Computer-Assisted, Heavy Ion Radiotherapy, Models, Biological, Oxygen, Proton Therapy, Humans, Linear Energy Transfer
Radiotherapy, Radiotherapy Planning, Computer-Assisted, Heavy Ion Radiotherapy, Models, Biological, Oxygen, Proton Therapy, Humans, Linear Energy Transfer
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).9 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
