Formulation of the Multi-Hit Model With a Non-Poisson Distribution of Hits
Creators
- 1. Department of Medical Physics, Tom Baker Cancer Centre, Calgary, Alberta (Canada)
Description
Purpose: We proposed a formulation of the multi-hit single-target model in which the Poisson distribution of hits was replaced by a combination of two distributions: one for the number of particles entering the target and one for the number of hits a particle entering the target produces. Such an approach reflects the fact that radiation damage is a result of two different random processes: particle emission by a radiation source and interaction of particles with matter inside the target. Methods and Materials: Poisson distribution is well justified for the first of the two processes. The second distribution depends on how a hit is defined. To test our approach, we assumed that the second distribution was also a Poisson distribution. The two distributions combined resulted in a non-Poisson distribution. We tested the proposed model by comparing it with previously reported data for DNA single- and double-strand breaks induced by protons and electrons, for survival of a range of cell lines, and variation of the initial slopes of survival curves with radiation quality for heavy-ion beams. Results: Analysis of cell survival equations for this new model showed that they had realistic properties overall, such as the initial and high-dose slopes of survival curves, the shoulder, and relative biological effectiveness (RBE) In most cases tested, a better fit of survival curves was achieved with the new model than with the linear-quadratic model. The results also suggested that the proposed approach may extend the multi-hit model beyond its traditional role in analysis of survival curves to predicting effects of radiation quality and analysis of DNA strand breaks. Conclusions: Our model, although conceptually simple, performed well in all tests. The model was able to consistently fit data for both cell survival and DNA single- and double-strand breaks. It correctly predicted the dependence of radiation effects on parameters of radiation quality.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.ijrobp.2011.09.044Additional details
Identifiers
- DOI
- 10.1016/j.ijrobp.2011.09.044;
- PII
- S0360-3016(11)03317-7;
Publishing Information
- Journal Title
- International Journal of Radiation Oncology, Biology and Physics
- Journal Volume
- 83
- Journal Issue
- 4
- Journal Page Range
- p. 1311-1316
- ISSN
- 0360-3016
- CODEN
- IOBPD3
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44019466
- Subject category
- S63: RADIATION, THERMAL, AND OTHER ENVIRONMENTAL POLLUTANT EFFECTS ON LIVING ORGANISMS AND BIOLOGICAL MATERIALS; S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- DISTRIBUTION; DNA; ELECTRONS; HEAVY IONS; PROTONS; RADIATION DOSES; RADIATION EFFECTS; RADIATION QUALITY; RADIATION SOURCES; RBE; STRAND BREAKS; SURVIVAL CURVES
- Descriptors DEC
- BARYONS; CHARGED PARTICLES; DNA DAMAGES; DOSES; ELEMENTARY PARTICLES; FERMIONS; HADRONS; IONS; LEPTONS; NUCLEIC ACIDS; NUCLEONS; ORGANIC COMPOUNDS
Optional Information
- Copyright
- Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.