Modeling lung cancer incidence in rats following exposure to radon progeny
| Autor: | Werner Hofmann, G. Monchaux, D. J. Crawford-Brown, Hatim Fakir |
|---|---|
| Přispěvatelé: | University of Salzburg, Department of Environmental Sciences and Engineering, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Institut de Radioprotection et de Sûreté Nucléaire (IRSN) |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
normal distribution
Pathology Neoplasms Radiation-Induced cancer incidence geometry Lung Neoplasms Radon Daughters [SDV]Life Sciences [q-bio] Cumulative Exposure radiation exposure 030218 nuclear medicine & medical imaging lung tumor 0302 clinical medicine bronchus mucosa Models Risk Factors Neoplasms animal rat stochastic model target cell time lung carcinogenesis Radiation Radiological and Ultrasound Technology Inhalation dosimetry Sprague Dawley rat Incidence radon daughter article radiation carcinogenesis risk assessment radon methodology General Medicine respiratory system theoretical study lung alveolus 3. Good health Dose–response relationship medicine.anatomical_structure risk factor statistics 030220 oncology & carcinogenesis radiation dose distribution radiation dose Whole-Body Irradiation radiation injury medicine.medical_specialty radiation response Biology lung parenchyma Radiation Dosage Models Biological Dose-Response Relationship 03 medical and health sciences medicine computer simulation Dosimetry Animals Radiology Nuclear Medicine and imaging controlled study mathematical computing Lung cancer whole body radiation Lung alveolus Lung Public Health Environmental and Occupational Health Dose-Response Relationship Radiation prediction medicine.disease biological model Biological Rats Radiation-Induced radiosensitivity alpha radiation animal disease |
| Zdroj: | RADIATION PROTECTION DOSIMETRY RADIATION PROTECTION DOSIMETRY, 2006, 122 (1-4), pp.345-348. ⟨10.1093/rpd/ncl492⟩ |
| DOI: | 10.1093/rpd/ncl492⟩ |
| Popis: | Lung cancer incidence in Sprague-Dawley rats was simulated by a biologically based carcinogenesis model, which is formulated mathematically in terms of a stochastic state-vector model. Doses to the sensitive target cells in the bronchial epithelium of the rat lung were calculated by a stochastic dosimetry model, considering the distinct monopodial branching structure and the crossfire of alpha particles from alveolar tissue to bronchial epithelium. Bronchial and alveolar cellular doses could reasonably be approximated by lognormal distributions, with geometric standard deviations (GSD) between 7 and 10, depending on exposure conditions. Based on a dose-exposure conversion factor of 8.5 mGy WLM-1 and a GSD of 8, lung cancer incidences were calculated for each cumulative exposure category in the rat inhalation study, consisting of different exposure rates and exposure times. The fair agreement between theoretical predictions and experimental data over the whole exposure range emphasises the necessity to incorporate the full cellular dose distributions rather than their mean values. © 2006 Oxford University Press. |
| Databáze: | OpenAIRE |
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