The Full Wiki

More info on Linear no-threshold model

Linear no-threshold model: Map

Advertisements
  
  

Wikipedia article:

Map showing all locations mentioned on Wikipedia article:

The linear no-threshold model (LNT) is a model of the damage caused by ionizing radiation which presupposes that the response is linear (i.e., directly proportional to the dose) at all dose levels. Thus LNT asserts that there is no threshold of exposure below which the response ceases to be linear.

The LNT Model stands in contrast to theories in which below a certain level, radiation exposure is harmless - in other words that there is threshold for radiation damage such as the threshold model. The radiation hormesis model, also in contrast to the LNT model asserts that radiation is beneficial in very low doses, while still recognizing that it is harmful in large doses.

LNT, or at least "no threshold", is sometimes applied to other cancer hazards such as polychlorinated biphenyls in drinking water.

History

The linear-no-threshold model was first expressed by John Gofman, and rejected by the Department of Energy, according to Gofman, because it was "inconvenient". The National Academy of Sciences Biological Effects of Ionizing Radiation report, NAS BEIR VII was the first to clearly state that there is no safe level of radiation, although earlier reports had presented equivocal and inconclusive discussions on the issue.

Other researchers with an interest in the linear no-threshold model and related low-level radiation topics include: Ernest Sternglass, Alice Stewart, John Gofman, Christopher Busby, and Edward B. Lewis.

Applications

If a particular dose of radiation is found to produce one extra case of a type of cancer in every thousand people exposed, LNT predicts that one thousandth of this dose will produce one extra case in every million people so exposed, and that one millionth of this dose will produce one extra case in every billion people exposed. This means that any given quantity of radiation will produce the same number of cancers, no matter how thinly it is spread. The model's virtue is its simplicity: a quantity of radiation can be translated into a number of deaths without any adjustment for the distribution.

The linear no-threshold model is used to calculate the expected number of extra deaths caused by exposure to environmental radiation, and it therefore has a great impact on public policy. The model allows any radiation release, like that from a dirty bomb, to be translated into a number of lives lost, while any reduction in radiation exposure, for example as a consequence of radon detection, can be immediately translated into a number of lives saved. When the doses are low, the model predicts new cancers only in a very small fraction of the population, but for a large population, the number of lives can easily reach hundreds or thousands, and this can sway public policy.

A linear model has long been used in health physics to set maximum acceptable radiation exposures. It was accepted for pragmatic reasons--- it is simple, plausible and predictive. The United States based National Council on Radiation Protection and Measurements (NCRP), a body commissioned by the United States Congress, recently released a report written by the national experts in the field which states that, radiation's effects should be considered to be proportional to the dose an individual receives, regardless of how small the dose is.

Fieldwork

The LNT model and the alternatives to it each have plausible mechanisms that could bring them about, but definitive conclusions are hard to make given the difficulty of doing longitudinal studies involving large cohorts over long periods.

A review of the various studies published in the authoritative Proceedings of the National Academy of Sciences concludes that "given our current state of knowledge, the most reasonable assumption is that the cancer risks from low doses of x- or gamma-rays decrease linearly with decreasing dose."

The LNT model for radiation damage may be too conservative according to recent work showing that there was a larger than expected reduction in IQ at very low doses from the fallout from Chernobyl, in children who were then fetuses of between 8 and 25 weeks gestation. Neurological damage has a different biology than cancer, and for cancer rates there are conflicting studies.

Controversy

In recent years, the accuracy of the LNT model at low dosage has been questioned. Many believe that when radiation is distributed thinly enough, so that the levels are comparable to the natural levels, it has no harmful health effects.

In the scientific community, expert panels are often convened to consider and write reports on the most important and controversial topics of the day. Several of these expert panels have been convened on the topic of the Linear no-threshold model.





However, other organisations disagree with using the Linear no-threshold model to estimate risk from environmental and occupational low-level radiation exposure. The French Academy of Sciences (Académie des Sciences) and the National Academy of Medicine (Académie nationale de Médecine) published a report in 2005 (at the same time as BEIR VII report in the United Statesmarker) that rejected the Linear no-threshold model in favor of a threshold dose response and a significantly reduced risk at low radiation exposure, they wrote:

The American Nuclear Society position statement regarding the health effects of low-level radiation released in June 2001, states:

And the Health Physics Society's position statement first adopted in January 1996 and approved following revision in August 2004 by the societies' Health Physics Society, states:

Several scientists also disagree with the Linear No Threshold Hypothesis. In the extreme case, some authors promote Radiation hormesis, the idea that some radiation is good for people. Others simply regard the LNT as conservative or even completely wrong for predicting the effect of low doses of radiation. As an example, Dr John DeSesso, academic expert in teratology writes,

A paper from Professor Wade Allison of Oxford University (a lecturer in medical physics and particle physics) argues that incorrect assumptions concerning low levels of exposure are widely accepted. He used statistics from therapeutic radiation, exposure to elevated natural radiation (the presence of radon gas in homes) and the diseases of Hiroshima and Nagasaki survivors to show that the linear no-threshold model should not be applied to low-level exposure in humans, as it ignores the well-known natural repair mechanisms of the body. Professor Bernard Cohen of the University of Pittsburgh arrived at the same conclusion in his comparison of the effects from differing levels of environmental radon in 1601 U.S. counties.

See also



References

  1. Consumer Factsheet on: polychlorinated biphenyls US Environment Protection Agency.
  2. Gofman on the health effects of radiation: "There is no safe threshold"
  3. NAS BEIR VII Phase 2 Executive Summary retrieved 8 October 2008
  4. Douglas Almond, Lena Edlund, Mårten Palme, "Chernobyl's Subclinical Legacy: Prenatal Exposure to Radioactive Fallout and School Outcomes in Sweden" August 2007, NBER working paper 13347, [1]
  5. http://books.nap.edu/catalog/11340.html Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2
  6. Society News Archive: BEIR VII Report Supports LNT Model
  7. NCRP report
  8. UNSCEAR 2000 REPORT Vol. II: Sources and Effects of Ionizing Radiation: Annex G: Biological effects at low radiation doses. page 160, paragraph 541. Available online at[2].
  9. The American Nuclear Society, 2001. Health Effects of Low-Level Radiation. Position Statement 41 [3]
  10. Health Physics Society, 2004. Radiation Risk in Perspective PS010-1 [4]
  11. The case for integrating low dose, beneficial responses into US EPA risk assessments Human & Experimental Toxicology journal.
  12. Cohen, Bernard L. Test of the linear-no threshold model theory of radiation carcinogenesis for inhaled radiation decay products "Health Physics" February 1995, pp 157-174.


External links




Embed code:
Advertisements






Got something to say? Make a comment.
Your name
Your email address
Message