Literature DB >> 11537038

Fluence-related risk coefficients using the Harderian gland data as an example.

S B Curtis1, L W Townsend, J W Wilson, P Powers-Risius, E L Alpen, R J Fry.   

Abstract

The risk of radiation-induced cancer to space travelers outside the earth's magnetosphere will be of concern on missions to the Moon and beyond to Mars. High energy galactic cosmic rays with high charge (HZE particles) will penetrate the spacecraft and the bodies of the astronauts, sometimes fragmenting into nuclear secondary species of lower charge but always ionizing densely, thus causing cellular damage which may lead to malignant transformation. To quantitate this risk, the concept of dose equivalent (in which a quality factor Q as a function of LET is assumed) may not be adequate, since different particles of the same LET may have different efficiencies for tumor induction. Also, RBE values on which quality factors are based depend on response to low-LET radiation at low doses, a very difficult region for which to obtain reliable experimental data. Thus, we introduce a new concept, a fluence-related risk coefficient (F), which is the risk of a cancer per unit particle fluence and which we call the risk cross section. The total risk is the sum of the risk from each particle type: sigma i integral Fi(Li) phi i(Li) dLi, where Li is the LET and phi i(Li) is the fluence-LET spectrum of the ith particle type. As an example, tumor prevalence data in mice are used to estimate the probability of mouse Harderian gland tumor induction per year on an extra-magnetospheric mission inside an idealized shielding configuration of a spherical aluminum shell 1 g/cm2 thick. The combined shielding code BRYNTRN/GCR is used to generate the LET spectra at the center of the sphere. Results indicate a yearly prevalence at solar minimum conditions of 0.06, with 60% of this arising from charge components with Z between 10 and 28, and two-thirds of the contribution arising from LET components between 10 and 200 keV/micrometers.

Entities:  

Keywords:  NASA Discipline Number 04-10; NASA Discipline Radiation Health; NASA Program Radiation Health; Non-NASA Center

Mesh:

Year:  1992        PMID: 11537038     DOI: 10.1016/0273-1177(92)90137-m

Source DB:  PubMed          Journal:  Adv Space Res        ISSN: 0273-1177            Impact factor:   2.152


  7 in total

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Authors:  Kamal Datta; Shubhankar Suman; Daniela Trani; Kathryn Doiron; Jimmy A Rotolo; Bhaskar V S Kallakury; Richard Kolesnick; Michael F Cole; Albert J Fornace
Journal:  Int J Radiat Biol       Date:  2011-12-12       Impact factor: 2.694

2.  Synergy theory for murine Harderian gland tumours after irradiation by mixtures of high-energy ionized atomic nuclei.

Authors:  Edward Greg Huang; Yimin Lin; Mark Ebert; Dae Woong Ham; Claire Yunzhi Zhang; Rainer K Sachs
Journal:  Radiat Environ Biophys       Date:  2019-02-02       Impact factor: 1.925

3.  Initiation-promotion model of tumor prevalence in mice from space radiation exposures.

Authors:  F A Cucinotta; J W Wilson
Journal:  Radiat Environ Biophys       Date:  1995-08       Impact factor: 1.925

4.  Heavy-Ion-Induced Lung Tumors: Dose- & LET-Dependence.

Authors:  Polly Y Chang; James Bakke; Chris J Rosen; Kathleen A Bjornstad; Jian-Hua Mao; Eleanor A Blakely
Journal:  Life (Basel)       Date:  2022-06-17

5.  Relative biological effectiveness of 12C and 28Si radiation in C57BL/6J mice.

Authors:  Shubhankar Suman; Kamal Datta; Daniela Trani; Evagelia C Laiakis; Steven J Strawn; Albert J Fornace
Journal:  Radiat Environ Biophys       Date:  2012-05-05       Impact factor: 1.925

6.  Simulated space radiation-induced mutants in the mouse kidney display widespread genomic change.

Authors:  Mitchell S Turker; Dmytro Grygoryev; Michael Lasarev; Anna Ohlrich; Furaha A Rwatambuga; Sorrel Johnson; Cristian Dan; Bradley Eckelmann; Gwen Hryciw; Jian-Hua Mao; Antoine M Snijders; Stacey Gauny; Amy Kronenberg
Journal:  PLoS One       Date:  2017-07-06       Impact factor: 3.240

7.  Long-term differential changes in mouse intestinal metabolomics after γ and heavy ion radiation exposure.

Authors:  Amrita K Cheema; Shubhankar Suman; Prabhjit Kaur; Rajbir Singh; Albert J Fornace; Kamal Datta
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

  7 in total

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