Estimating dosimetric quantities of radon progeny using human CT scan data and small tissue volume analysis with Geant4 code system
Estimating the health effects of radon exposure is of great interest because radon is considered the second leading cause of lung cancer after smoking. The dose-response curve is not well understood at low-dose levels where radon exposure is estimated. Therefore, the health mechanisms of ra...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
VINCA Institute of Nuclear Sciences
2015-01-01
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| Series: | Nuclear Technology and Radiation Protection |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-3994/2015/1451-39941503203A.pdf |
| Summary: | Estimating the health effects of radon exposure is of great interest because
radon is considered the second leading cause of lung cancer after smoking.
The dose-response curve is not well understood at low-dose levels where radon
exposure is estimated. Therefore, the health mechanisms of radiation due to
radon progeny at the cellular and molecular levels are of interest for
providing an indication of a possible threshold value above which the
exposure may indicate cancer formation. In this paper we present a
macroscopic and cellular level numerical analysis of the radon-induced dose
estimates based on the Geant4 code system. Macroscopic estimates are assessed
based on patient-specific computer tomography scans that provide geometries
easily applicable to modeling radiation effects of the radon progeny sources.
A small tissue volumes analysis based on the Geant4 code system is developed
so as to provide information about the interactions and particle track
structures at the microscopic (cellular) levels producing the dosimetric
effects of radon short-lived progenies. The results presented in this paper
also call attention to the capabilities of Geant4 to provide radon-related
dosimetric parameters of large and small-scale biological systems. |
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| ISSN: | 1451-3994 1452-8185 |