Cellular lung dosimetry for inhaled radon decay products as a base for radiation-induced lung cancer risk assessment
- 1 June 1982
- journal article
- research article
- Published by Springer Nature in Radiation and Environmental Biophysics
- Vol. 20 (2) , 113-122
- https://doi.org/10.1007/bf01323932
Abstract
Lung dose calculations for inhaled radon decay products presented in part I have revealed that mean basal cell doses are significantly dependent on various personal and environmental factors. Whereas these macroscopic dosimetric methods have been applied with great success to radiation protection problems, the interpretation of radiobiological effects, such as lung cancer incidence, needs some refinement of these methods. Energy deposition at the microscopic level as the physical input quantity and radiation carcinogenesis as the biological endpoint are by nature stochastic processes. Therefore, a microdosimetric model was developed taking into consideration the randomness of physical and biological parameters involved. Part II of the paper presents results on specific energy distributions in lung cells, demonstrating that single event density distributions together with the number of cells receiving single hits represent more appropriate parameters than mean radiation doses.This publication has 7 references indexed in Scilit:
- EXPERIMENTAL INVESTIGATION OF THE MICRODISTRIBUTION OF INHALED RADON DECAY PRODUCTS IN VARIOUS TISSUES BY AUTORADIOGRAPHY WITH CR-39Published by Elsevier ,1982
- Animal lung models for the inhalation of natural radioactive particles and their relevance to manJournal of Aerosol Science, 1980
- MICRODOSIMETRIC APPROACH FOR LUNG DOSE ASSESSMENTSPublished by Elsevier ,1980
- Limits for intakes of radionuclides by workersPublished by SAGE Publications ,1979
- Method for calculating single-event distributions for point source alpha emittersPublished by Office of Scientific and Technical Information (OSTI) ,1977
- Stopping power and range of alpha particles.1970
- On a New Class of "Contagious" Distributions, Applicable in Entomology and BacteriologyThe Annals of Mathematical Statistics, 1939