Skip to main content

Assessment of Risk from Short-Term Exposures

  • Chapter
Risk Assessment in Setting National Priorities

Part of the book series: Advances in Risk Analysis ((AIRA,volume 7))

  • 280 Accesses

Abstract

One of the major problems encountered in cancer risk assessment is the estimation of risk for short-term exposures based upon results from chronic bioassays in which animals are exposed for a lifetime (generally two years for rodents). In the absence of data on cancer incidence for short-term exposures, the assumption is generally made that the cancer risk is proportional to the total accumulated dose (or equivalently, to the average dose rate) of a carcinogen, regardless of the ages at the times of exposures. This paper investigates the impact of using the total accumulated lifetime dose assumption to estimate cancer risk for short-term exposure for two carcinogenesis models, the Armitage-Doll multistage model and the Moolgavkar-Venzon-Knudson (M-V-K) birth-death mutation model. Two assumptions are discussed: (A) the fraction of lifetime dose rate assumes that the risk from a fractional lifetime exposure at a given dose rate is equal to the risk from full lifetime exposure at that same fraction of the given dose rate; and (B) the fraction of lifetime risk assumes that the risk from a fractional lifetime exposure at a given dose rate is equal to that same fraction of the risk from full lifetime exposure at the same dose rate. These two assumptions are equivalent when risk is a linear function of dose. Thus both can be thought of as generalizations of the assumption that cancer risk is proportional to the total accumulated lifetime dose.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. P. Armitage and R. Doll, “Stochastic Models for Carcinogenesis,” in Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability 4:19–38, University of California Press (1961).

    Google Scholar 

  2. A. Whittemore and J. B. Keller, “Quantitative Theories of Carcinogenesis,” SIAM Review 20: 1–30 (1978).

    Article  Google Scholar 

  3. N. E. Day and C. C. Brown, C. C., “Multistage Models and Primary Prevention of Cancer,” Journal of the National Cancer Institute 64: 977–989 (1980).

    PubMed  CAS  Google Scholar 

  4. K. S. Crump and R. B. Howe, R. B., “The Multistage Model with a Time-Dependent Dose Pattern: Applications to Carcinogenic Risk Assessment,” Risk Analysis 4: 163–176 (1984).

    Article  Google Scholar 

  5. S. H. Moolgavkar and D. J. Venzon, “Two-Event Models for Carcinogenesis: Incidence Curves for Childhood and Adult Tumors,” Mathematical Biosciences 47: 55–77 (1979).

    Article  Google Scholar 

  6. S. H. Moolgavkar and A. G. Knudson, “Mutation and Cancer: A Model for Human Carcinogenesis,” J. Natl. Cancer Inst. 66: 1037–1052 (1981).

    PubMed  CAS  Google Scholar 

  7. T. W. Thorslund, C. C. Brown, and G. Charnley, “The Use of Biologically Motivated Mathematical Models to Predict the Actual Cancer Risk Associated with Environmental Exposure to a Carcinogen,” Risk Analysis 7: 109–119 (1987).

    Article  PubMed  CAS  Google Scholar 

  8. R. L. Kodell, D. W. Gaylor, and J. J. Chen, “Consequences of Using Average Lifetime Dose Rate to Predict Risk from Intermittent Exposures to Carcinogens,” Risk Analysis 7: 339–345 (1987).

    Article  PubMed  CAS  Google Scholar 

  9. J. J. Chen, R. L. Kodell, and D. W. Gaylor, “Using the Biological Two-Stage Model to Assess Risk from Short-Term Exposures,” Risk Analysis (accepted, 1987 ).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Plenum Press, New York

About this chapter

Cite this chapter

Chen, J.J., Kodell, R.L., Gaylor, D.W. (1989). Assessment of Risk from Short-Term Exposures. In: Bonin, J.J., Stevenson, D.E. (eds) Risk Assessment in Setting National Priorities. Advances in Risk Analysis, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5682-0_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4684-5682-0_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-5684-4

  • Online ISBN: 978-1-4684-5682-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics