The principles of Katz's cellular track structure radiobiological model
- 1. The Marie-Sklodowska-Curie Centre of Oncology, Krakow Division, Garncarska 11, Krakow 31-115 (Poland)
- 2. Institute of Nuclear Physics, Polish Academy of Sciences, Radzikowskiego 152, Krakow 31-342 (Poland)
Description
The cellular track structure theory (TST), introduced by Katz in 1968, applies the concept of action cross section as the probability of targets in the radiation detector being activated to elicit the observed endpoint (e.g. cell killing). The ion beam radiation field is specified by the charge Z, speed β (or energy), fluence and linear energy transfer (LET) of the ion, rather than by its total absorbed dose or dose-averaged LET. The detector is represented by radiosensitive elements of size a0 and radiosensitivity D0, its gamma-ray response being represented by c-hit or multi-target expressions rather than by the linear-quadratic formula. Key to TST is the Dδ(r) formula describing the radial distribution of delta-ray dose (RDD) around the ion path. This formula, when folded with the dose response of the detector and radially integrated, yields the 'point target' action cross section value, sPT. The averaged value of the cross section, σ, is obtained by radially integrating the a0-averaged RDD. In the 'track width' regime which may occur at the distal end of the ion's path, the value of s may considerably exceed its geometrical value, πa20. Several scaling principles are applied in TST, resulting in its simple analytic formulation. Multi-target detectors, such as cells, are represented in TST by m, D0, σ0 (the 'saturation value' of the cross section which replaces a0) and k (a 'detector saturation index'), as the fourth model parameter. With increasing LET of the ion, the two-component formulation of TST allows for successive transition from shouldered survival curves at low LET values to exponential ones at radiobiological effectiveness (RBE) maximum, followed by 'thin-down' at the end of the ion track. For a given cell line, having best-fitted the four model parameters (m, D0, σ0 and k) to an available data set of measured survival curves, TST is able to quantitatively predict cell survival and RBE for this cell line after any other ion irradiation. (authors)
Availability note (English)
Available from doi: http://dx.doi.org/10.1093/rpd/ncv201Additional details
Identifiers
- DOI
- 10.1093/rpd/ncv201;
Publishing Information
- Journal Title
- Radiation Protection Dosimetry
- Journal Volume
- 166
- Journal Issue
- 1-4
- Journal Page Range
- p. 49-55
- ISSN
- 0144-8420
Conference
- Title
- 16. International Symposium on Microdosimetry
- Acronym
- Micros 2013
- Dates
- 20-25 Oct 2013
- Place
- Treviso (Italy)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- France
- INIS RN
- 47002841
- Subject category
- S61: RADIATION PROTECTION AND DOSIMETRY; S63: RADIATION, THERMAL, AND OTHER ENVIRONMENTAL POLLUTANT EFFECTS ON LIVING ORGANISMS AND BIOLOGICAL MATERIALS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ABSORBED RADIATION DOSES; BIOLOGICAL RADIATION EFFECTS; CELL KILLING; CROSS SECTIONS; DELTA RAYS; GAMMA RADIATION; ION BEAMS; IRRADIATION; LET; PARTICLE TRACKS; RADIATION DETECTORS; RADIOBIOLOGY; RADIOSENSITIVITY; RBE; SPATIAL DISTRIBUTION; SURVIVAL CURVES
- Descriptors DEC
- BEAMS; BIOLOGICAL EFFECTS; BIOLOGY; DISTRIBUTION; DOSES; ELECTROMAGNETIC RADIATION; ENERGY TRANSFER; IONIZING RADIATIONS; MEASURING INSTRUMENTS; RADIATION DOSES; RADIATION EFFECTS; RADIATIONS; SENSITIVITY
Optional Information
- Notes
- 12 refs.