Literature DB >> 25724676

Stochastic rat lung dosimetry for inhaled radon progeny: a surrogate for the human lung for lung cancer risk assessment.

R Winkler-Heil1, M Hussain, W Hofmann.   

Abstract

Laboratory rats are frequently used in inhalation studies as a surrogate for human exposures. The objective of the present study was therefore to develop a stochastic dosimetry model for inhaled radon progeny in the rat lung, to predict bronchial dose distributions and to compare them with corresponding dose distributions in the human lung. The most significant difference between human and rat lungs is the branching structure of the bronchial tree, which is relatively symmetric in the human lung, but monopodial in the rat lung. Radon progeny aerosol characteristics used in the present study encompass conditions typical for PNNL and COGEMA rat inhalation studies, as well as uranium miners and human indoor exposure conditions. It is shown here that depending on exposure conditions and modeling assumptions, average bronchial doses in the rat lung ranged from 5.4 to 7.3 mGy WLM(-1). If plotted as a function of airway generation, bronchial dose distributions exhibit a significant maximum in large bronchial airways. If, however, plotted as a function of airway diameter, then bronchial doses are much more uniformly distributed throughout the bronchial tree. Comparisons between human and rat exposures indicate that rat bronchial doses are slightly higher than human bronchial doses by about a factor of 1.3, while lung doses, averaged over the bronchial (BB), bronchiolar (bb) and alveolar-interstitial (AI) regions, are higher by about a factor of about 1.6. This supports the current view that the rat lung is indeed an appropriate surrogate for the human lung in case of radon-induced lung cancers. Furthermore, airway diameter seems to be a more appropriate morphometric parameter than airway generations to relate bronchial doses to bronchial carcinomas.

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Year:  2015        PMID: 25724676     DOI: 10.1007/s00411-015-0591-8

Source DB:  PubMed          Journal:  Radiat Environ Biophys        ISSN: 0301-634X            Impact factor:   1.925


  30 in total

1.  LUNG CANCER OF URANIUM MINERS ON THE COLORADO PLATEAU.

Authors:  G SACCOMANNO; V E ARCHER; R P SAUNDERS; L A JAMES; P A BECKLER
Journal:  Health Phys       Date:  1964-12       Impact factor: 1.316

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Authors:  Y S Cheng; G K Hansen; Y F Su; H C Yeh; K T Morgan
Journal:  Toxicol Appl Pharmacol       Date:  1990-11       Impact factor: 4.219

3.  Modeling intersubject variability of bronchial doses for inhaled radon progeny.

Authors:  Werner Hofmann; Renate Winkler-Heil; Majid Hussain
Journal:  Health Phys       Date:  2010-10       Impact factor: 1.316

4.  Comparison of radon lung dosimetry models for the estimation of dose uncertainties.

Authors:  Renate Winkler-Heil; Werner Hofmann; James Marsh; Alan Birchall
Journal:  Radiat Prot Dosimetry       Date:  2007-07-09       Impact factor: 0.972

Review 5.  The respiratory epithelium. V. Histogenesis of lung carcinomas in the human.

Authors:  E M McDowell; J S McLaughlin; D K Merenyl; R F Kieffer; C C Harris; B F Trump
Journal:  J Natl Cancer Inst       Date:  1978-08       Impact factor: 13.506

6.  Lung dosimetry of inhaled radon progeny in mice.

Authors:  Akihiro Sakoda; Yuu Ishimori; Kosuke Fukao; Kiyonori Yamaoka; Takahiro Kataoka; Fumihiro Mitsunobu
Journal:  Radiat Environ Biophys       Date:  2012-08-23       Impact factor: 1.925

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Authors:  R R Mercer; J D Crapo
Journal:  J Appl Physiol (1985)       Date:  1987-08

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Authors:  H C Yeh; G M Schum; M T Duggan
Journal:  Anat Rec       Date:  1979-11

9.  The effect of lung structure on mucociliary clearance and particle retention in human and rat lungs.

Authors:  Werner Hofmann; Bahman Asgharian
Journal:  Toxicol Sci       Date:  2003-04-15       Impact factor: 4.849

10.  Deposition of fine and coarse aerosols in a rat nasal mold.

Authors:  J T Kelly; J S Kimbell; B Asgharian
Journal:  Inhal Toxicol       Date:  2001-07       Impact factor: 2.724

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  1 in total

Review 1.  Organ-on-a-chip: the next generation platform for risk assessment of radiobiology.

Authors:  Yi Quan; Miao Sun; Zhaoyi Tan; Jan C T Eijkel; Albert van den Berg; Andries van der Meer; Yanbo Xie
Journal:  RSC Adv       Date:  2020-10-28       Impact factor: 4.036

  1 in total

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