The Biological Effectiveness of Radon-Progeny Alpha Particles. III. Quality Factors

1995 ◽  
Vol 142 (1) ◽  
pp. 61 ◽  
Author(s):  
D. J. Brenner ◽  
R. C. Miller ◽  
Y. Huang ◽  
E. J. Hall
Keyword(s):  
Alpha Particles ◽  
Radon Progeny ◽  
Quality Factors ◽  
Biological Effectiveness

The Biological Effectiveness of Radon-Progeny Alpha Particles. II. Oncogenic Transformation as a Function of Linear Energy Transfer

1995 ◽  
Vol 142 (1) ◽  
pp. 54 ◽  
Author(s):  
Richard C. Miller ◽  
Stephen A. Marino ◽  
David J. Brenner ◽  
Stewart G. Martin ◽  
Marcia Richards ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Linear Energy Transfer ◽  
Alpha Particles ◽  
Radon Progeny ◽  
Oncogenic Transformation ◽  
Biological Effectiveness

Recoil proton, alpha particle, and heavy ion impacts on microdosimetry and RBE of fast neutrons: analysis of kerma spectra calculated by Monte Carlo simulation

2001 ◽  
Vol 79 (2) ◽  
pp. 189-195 ◽  
Author(s):  
Jean-Philippe Pignol ◽  
Jakobus Slabbert
Keyword(s):  
Monte Carlo ◽  
Recoil Proton ◽  
Clinical Results ◽  
Heavy Ion ◽  
Alpha Particles ◽  
Fast Neutrons ◽  
Monte Carlo Code ◽  
Powerful Method ◽  
Biological Effectiveness

Fast neutrons (FN) have a higher radio-biological effectiveness (RBE) compared with photons, however the mechanism of this increase remains a controversial issue. RBE variations are seen among various FN facilities and at the same facility when different tissue depths or thicknesses of hardening filters are used. These variations lead to uncertainties in dose reporting as well as in the comparisons of clinical results. Besides radiobiology and microdosimetry, another powerful method for the characterization of FN beams is the calculation of total proton and heavy ion kerma spectra. FLUKA and MCNP Monte Carlo code were used to simulate these kerma spectra following a set of microdosimetry measurements performed at the National Accelerator Centre. The calculated spectra confirmed major classical statements: RBE increase is linked to both slow energy protons and alpha particles yielded by (n,α) reactions on carbon and oxygen nuclei. The slow energy protons are produced by neutrons having an energy between 10 keV and 10 MeV, while the alpha particles are produced by neutrons having an energy between 10 keV and 15 MeV. Looking at the heavy ion kerma from <15 MeV and the proton kerma from neutrons <10 MeV, it is possible to anticipate y* and RBE trends.Key words: fast neutron, kerma, microdosimetry, RBE, Monte Carlo.

MODELING OF RADIATION RESPONSE OF V79 CELL USING NEW CONCEPT OF CLUSTERING CLUSTERS

2005 ◽  
Vol 19 (15n17) ◽  
pp. 2933-2938
Author(s):  
YUN-ZHI MA ◽  
HONG-YU ZHOU ◽  
YI-ZHONG ZHUO
Keyword(s):  
Absorbed Dose ◽  
Alpha Particles ◽  
Model Parameters ◽  
Quality Factors ◽  
Radiation Quality ◽  
V79 Cells ◽  
Survival Fraction ◽  
Biophysical Models ◽  
Concept Clustering ◽  
A Cell

A new version of two-compartment (TC) model named Revised TC (RTC) model, was proposed by redefining radiation quality factors on the basis of a new concept, clustering clusters, as average number of clusters which can cause repairable and irreparable damages (i.e., two compartments) in a cell nucleus at unit absorbed dose, respectively. The model parameters were calibrated by measured survival fractions of V79 cells at G1/S and late-S phases irradiated by 20 and 40 keV/μm deuterons and 127keV/μm 3 He ions. The initial slopes of survival fraction for V79 cells irradiated by proton and alpha particles of different LET ranging from 10 to 230 keV/μm at G1/S and late-S phases were evaluated from their track structure using the RTC model. The calculated values show basically the same trend as the measured ones, which may suggest the feasibility of the new concept of clustering clusters in biophysical models.

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