Literature DB >> 3257468

What is a 'low dose' of radiation?

V P Bond1, L E Feinendegen, J Booz.   

Abstract

Although the expression of radiation-induced biological effects and responses may be at either the cell, organ or organism level, induction of some of these phenomena (e.g. cancer of clastogenic and genetic effects) can have their origin in the interaction of a single charged particle with the target-containing volume (TCV) of the cell, e.g. the cell nucleus. However, the independent variable now used in both organ and cell population studies, the absorbed dose to the organ, provides no information directly on particle-TCV interactions. Even if calculated as a mean to an organized population of cells, the absorbed dose becomes a composite and confounded quantity, (FzN), in which F is the fraction of TCVs 'hit' by a particle during a given exposure, z is the mean value of z1, the energy absorbed in the TCV in a single hit, and N is the mean number of hits per affected TCV. Scientific precepts demand the avoidance of such confounded variables by achieving their isolation. The needed separation can be effected by the use of microdosimetric techniques, which make it possible to hold one component quantity constant while the others are varied. As an example, low-level radiation exposure (LLE) can be used to hold F at a constant value of 0.2 where, on average, there is but one hit per TCV. The probability of a cellular quantal response, as a function of z1 only, can then be determined by use of LLE to radiations covering a wide span of LETs. Conversely, the effect of varying only the fraction of cells hit can be studied by holding z constant. This can be accomplished by working within a narrow band of LET, but only in the LLE range. The effectiveness of preirradiation altering cell sensitivity as a function of the number of hits per TCV can be determined by working within, and somewhat above, the LLE range. In either risk assessment or the application of radiation as a pretreatment, minimal consequences can be assured only if very low-level exposure is employed in order that F will be small, and if the exposure is in a field of radiation of very low LET so that z1 will be as small as possible. That is to say, exposure conditions with low consequences cannot be specified in terms of any single quantity.

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Year:  1988        PMID: 3257468     DOI: 10.1080/09553008814550361

Source DB:  PubMed          Journal:  Int J Radiat Biol Relat Stud Phys Chem Med        ISSN: 0020-7616


  6 in total

1.  The impact of adaptive and non-targeted effects in the biological responses to low dose/low fluence ionizing radiation: the modulating effect of linear energy transfer.

Authors:  Sonia M de Toledo; Manuela Buonanno; Min Li; Nesrin Asaad; Yong Qin; Geraldine Gonon; Grace Shim; Mariann Galdass; Yaa Boateng; Jie Zhang; Edouard I Azzam
Journal:  Health Phys       Date:  2011-03       Impact factor: 1.316

2.  Adaptive and bystander responses in human and rodent cell cultures exposed to low level ionizing radiation: the impact of linear energy transfer.

Authors:  Sonia M de Toledo; Edouard I Azzam
Journal:  Dose Response       Date:  2006-11-27       Impact factor: 2.658

3.  The bystander effect: recent developments and implications for understanding the dose response.

Authors:  R E J Mitchel
Journal:  Nonlinearity Biol Toxicol Med       Date:  2004-07

Review 4.  Radiation risk of tissue late effects, a net consequence of probabilities of various cellular responses.

Authors:  L E Feinendegen
Journal:  Eur J Nucl Med       Date:  1991

5.  Requirements for identification of low dose and non-linear mutagenic responses to ionising radiation.

Authors:  Pamela J Sykes; Tanya K Day
Journal:  Dose Response       Date:  2007-09-30       Impact factor: 2.658

6.  Hypersensitivity and Induced Radioresistance in Chinese Hamster Cells Exposed to Radiations with Different LET Values.

Authors:  Ekaterina Koryakina; Vladimir I Potetnya; Marina Troshina; Raisa Baykuzina; Sergey Koryakin; Anatoliy Lychagin; Aleksei Solovev; Vyacheslav Saburov; Vladimir Pikalov; Petr Shegay; Sergey Ivanov; Andrey Kaprin
Journal:  Int J Mol Sci       Date:  2022-06-17       Impact factor: 6.208

  6 in total

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