Literature DB >> 34987338

The Linear-No-Threshold Line for Cancer Excess Relative Risk Based on Lagging Low Radiation Doses is Misleading.

Bobby R Scott1.   

Abstract

Entities:  

Keywords:  LNT; cancer; hormesis; radiation; risk assessment; threshold

Year:  2021        PMID: 34987338      PMCID: PMC8669886          DOI: 10.1177/15593258211063982

Source DB:  PubMed          Journal:  Dose Response        ISSN: 1559-3258            Impact factor:   2.658


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The linear-no-threshold (LNT) model is currently used in low-dose-radiation cancer risk assessment and this practice is supported by organizations that include the Environmental Protection Agency and the Nuclear Regulatory Commission. Lagging low radiation doses has been used in epidemiologic studies and this helps to justify reliance on an LNT function for excess relative risk (ERR) for cancer incidence. Some of the low dose is discarded (lagging of dose) with the remaining even smaller dose then treated as relevant for cancer induction. This presumed-relevant smaller dose can be expressed mathematically as D-L where D is the assigned total absorbed dose and L ( Because a low dose (eg, 10 mGy) is highly unlikely to cause cancer but may with high probability stimulate the body’s natural anticancer defenses, there is no well-founded scientific justification for radiation dose lagging in epidemiologic studies of cancer risk after exposure to low-dose radiation or for use of an LNT risk model. Lagging low doses and using other misinforming procedures (MisPros) in epidemiologic studies to make the LNT model appear acceptable is misleading. For low radiation doses and an appropriate null hypothesis of no radiation-induced cancers, blaming all observed cancers on very small doses (a dose-lagging consequence) rather than other risk factors is unscientific.
  6 in total

1.  The Controversial Linear No-Threshold Model.

Authors:  Wolfgang Weber; Pat Zanzonico
Journal:  J Nucl Med       Date:  2016-10-06       Impact factor: 10.057

Review 2.  The LNT model for cancer induction is not supported by radiobiological data.

Authors:  Bobby R Scott; Sujeenthar Tharmalingam
Journal:  Chem Biol Interact       Date:  2019-02-11       Impact factor: 5.192

3.  The new radiobiology: returning to our roots.

Authors:  Brant A Ulsh
Journal:  Dose Response       Date:  2012-07-15       Impact factor: 2.658

4.  Low Doses of Ionizing Radiation as a Treatment for Alzheimer's Disease: A Pilot Study.

Authors:  Jerry M Cuttler; Eslam Abdellah; Yael Goldberg; Sarmad Al-Shamaa; Sean P Symons; Sandra E Black; Morris Freedman
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

5.  Some Epidemiologic Studies of Low-Dose-Radiation Cancer Risks Are Misinforming.

Authors:  Bobby R Scott
Journal:  Dose Response       Date:  2021-06-29       Impact factor: 2.658

6.  Mortality among workers at the Los Alamos National Laboratory, 1943-2017.

Authors:  John D Boice; Sarah S Cohen; Michael T Mumma; Ashley P Golden; Sara C Howard; David J Girardi; Elizabeth Dupree Ellis; Michael B Bellamy; Lawrence T Dauer; Caleigh Samuels; Keith F Eckerman; Richard W Leggett
Journal:  Int J Radiat Biol       Date:  2021-06-21       Impact factor: 2.694

  6 in total

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