Literature DB >> 10789891

Risk estimates for radiation-induced cancer--the epidemiological evidence.

A M Kellerer1.   

Abstract

The risk of low-dose radiation exposures has--for a variety of reasons--been highly politicised. This has led to a frequently exaggerated perception of the potential health effects, and to lasting public controversies. A balanced view requires a critical reassessment of the epidemiological basis of current assumptions. There is reliable quantitative information available on the increase of cancer rates due to moderate and high doses. This provides a firm basis for the derivation of probabilities of causation, e.g. after high radiation exposures. For small doses or dose rates, the situation is entirely different: potential increases of cancer rates remain hidden below the statistical fluctuations of normal rates, and the molecular mechanisms of cancerogenesis are not sufficiently well known to allow numerical predictions. Risk coefficients for radiation protection must, therefore, be based on the uncertain extrapolation of observations obtained at moderate or high doses. While extrapolation is arbitrary, it is, nevertheless, used and mostly with the conservative assumption of a linear dose dependence with no threshold (LNT model). All risk estimates are based on this hypothesis. They are, thus, virtual guidelines, rather than firm numbers. The observations on the A-bomb survivors are still the major source of information on the health effects of comparatively small radiation doses. A fairly direct inspection of the data shows that the solid cancer mortality data of the A-bomb survivors are equally consistent with linearity in dose and with reduced effectiveness at low doses. In the leukemia data a reduction is strongly indicated. With one notable exception -- leukemia after prenatal exposure--these observations are in line with a multitude of observations in groups of persons exposed for medical reasons. The low-dose effects of densely ionizing radiations--such as alpha-particles from radon decay products or high-energy neutrons--are a separate important issue. For neutrons, there is little epidemiological information. This has facilitated exaggerated claims of high neutron effects with reference to alleged dangers from transports of reactor fuel. However, in spite of limited information, it can be shown that the data from Hiroshima exclude the stated claims. New dosimetric information on neutrons may turn out to be highly informative with regard to an upper limit for the potential effects of neutrons and equally with regard to a reassessment--and a possible reduction--of risk estimates for gamma-rays.

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Year:  2000        PMID: 10789891     DOI: 10.1007/pl00007679

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


  11 in total

1.  Radiation risk to low fluences of alpha particles may be greater than we thought.

Authors:  H Zhou; M Suzuki; G Randers-Pehrson; D Vannais; G Chen; J E Trosko; C A Waldren; T K Hei
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-04       Impact factor: 11.205

2.  Endothelial dysfunction in rectal cancer patients chronically exposed to ionizing radiation.

Authors:  Tolebay Rakhypbekov; Ken Inoue; Laura Pak; Noriyuki Kawano; Nobuo Takeichi; Masaharu Hoshi; Yoshihiro Noso; Nailya Chaizhunusova; Zukhra Manambayeva; Arman Khozhayev; Maulen Molgazhdarov; Sayakhat Olzhaev; Sholpan Tokanova; Madina Madiyeva
Journal:  Radiat Environ Biophys       Date:  2017-06-16       Impact factor: 1.925

Review 3.  Tissue and data archives from irradiation experiments conducted at Argonne National Laboratory over a period of four decades.

Authors:  Qiong Wang; Tatjana Paunesku; Gayle Woloschak
Journal:  Radiat Environ Biophys       Date:  2010-03-23       Impact factor: 1.925

4.  Improving tritium exposure reconstructions using accelerator mass spectrometry.

Authors:  A H Love; J R Hunt; J S Vogel; J P Knezovich
Journal:  Anal Bioanal Chem       Date:  2004-01-21       Impact factor: 4.142

Review 5.  A review of dosimetry studies on external-beam radiation treatment with respect to second cancer induction.

Authors:  X George Xu; Bryan Bednarz; Harald Paganetti
Journal:  Phys Med Biol       Date:  2008-06-09       Impact factor: 3.609

6.  Assessment of organ-specific neutron equivalent doses in proton therapy using computational whole-body age-dependent voxel phantoms.

Authors:  Christina Zacharatou Jarlskog; Choonik Lee; Wesley E Bolch; X George Xu; Harald Paganetti
Journal:  Phys Med Biol       Date:  2008-01-10       Impact factor: 3.609

7.  Cancer risks attributable to low doses of ionizing radiation: assessing what we really know.

Authors:  David J Brenner; Richard Doll; Dudley T Goodhead; Eric J Hall; Charles E Land; John B Little; Jay H Lubin; Dale L Preston; R Julian Preston; Jerome S Puskin; Elaine Ron; Rainer K Sachs; Jonathan M Samet; Richard B Setlow; Marco Zaider
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-10       Impact factor: 11.205

8.  How reliable are the risk estimates for X-ray examinations in forensic age estimations? A safety update.

Authors:  F Ramsthaler; P Proschek; W Betz; M A Verhoff
Journal:  Int J Legal Med       Date:  2009-01-20       Impact factor: 2.686

9.  Shifting the paradigm in radiation safety.

Authors:  Mohan Doss
Journal:  Dose Response       Date:  2012-02-10       Impact factor: 2.658

10.  Proton pencil beam scanning reduces secondary cancer risk in breast cancer patients with internal mammary chain involvement compared to photon radiotherapy.

Authors:  Giorgio Cartechini; Francesco Fracchiolla; Loris Menegotti; Emanuele Scifoni; Chiara La Tessa; Marco Schwarz; Paolo Farace; Francesco Tommasino
Journal:  Radiat Oncol       Date:  2020-10-02       Impact factor: 3.481

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