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2011
DOI: 10.1088/0031-9155/56/21/008
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Response functions for computing absorbed dose to skeletal tissues from neutron irradiation

Abstract: Spongiosa in the adult human skeleton consists of three tissues - active marrow (AM), inactive marrow (IM), and trabecularized mineral bone (TB). Active marrow is considered to be the target tissue for assessment of both long-term leukemia risk and acute marrow toxicity following radiation exposure. The total shallow marrow (TM50), defined as all tissues laying within the first 50 μm the bone surfaces, is considered to be the radiation target tissue of relevance for radiogenic bone cancer induction. For irradi… Show more

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Cited by 16 publications
(16 citation statements)
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“…In contrast, elastic and inelastic collisions of neutrons at energies below $150 MeV in spongiosa will result in a greater number of recoil protons born within the marrow tissues than in the bone trabeculae, due to the higher hydrogen content in the former, and these recoil particles will, in many cases, traverse the marrow spaces with their residual energy being lost to surrounding trabeculae. The net result for neutron irradiation over many energy regions is then a suppression of the absorbed dose to marrow tissues in comparison with that predicted in a kerma approximation (Kerr and Eckerman, 1985;Bahadori et al, 2011).…”
Section: Geant4 Codementioning
confidence: 81%
See 1 more Smart Citation
“…In contrast, elastic and inelastic collisions of neutrons at energies below $150 MeV in spongiosa will result in a greater number of recoil protons born within the marrow tissues than in the bone trabeculae, due to the higher hydrogen content in the former, and these recoil particles will, in many cases, traverse the marrow spaces with their residual energy being lost to surrounding trabeculae. The net result for neutron irradiation over many energy regions is then a suppression of the absorbed dose to marrow tissues in comparison with that predicted in a kerma approximation (Kerr and Eckerman, 1985;Bahadori et al, 2011).…”
Section: Geant4 Codementioning
confidence: 81%
“…(E3) In this report, Eq. (E.2) was evaluated using methods given in Bahadori et al (2011). Proton absorbed fraction data were obtained through Continuous Slowing Down Approximation (CSDA) transport methods using linear pathlength distributions acquired from micro-computer-tomography images of 32 bone sites within the skeleton of a 40-year-old male cadaver (Jokisch et al, 2011a,b).…”
Section: Annex C Organ Absorbed Dose Conversion Coefficients For Neumentioning
confidence: 99%
“…Values of absorbed fractions to active marrow and endosteum for internally-emitted photons and neutrons were obtained by first tallying energy-dependent particle fluences within the spongiosa and medullary cavity regions of the Publication 110 Reference Adult Male and Reference Adult Female voxel phantoms (ICRP, 2009), and then applying fluence-to-absorbed dose response functions (DRFs). Further details on the derivation of these photon and neutron skeletal DRFs are given in Johnson et al (2011) and Bahadori et al (2011), respectively, as well as in Annexes D and E of Publication 116 (ICRP, 2010).…”
Section: Advances In Skeletal Dosimetrymentioning
confidence: 99%
“…Further details on the derivation of these photon and neutron skeletal DRFs are given in Johnson et al. (2011) and Bahadori et al. (2011), respectively, as well as in Annexes D and E of Publication 116 (ICRP, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The energy deposition in these tissues is influenced by their proximity to those of different densities and elemental compositions. This energy deposition can, however, be derived during the Monte Carlo calculations of photon transport through scaling the calculated photon fluence in different skeletal regions (spongiosa or medullary cavities) by functions representing the absorbed dose to the target tissue per photon (Eckerman, 1985; Eckerman et al., 2008; Johnson et al., 2011) or neutron fluence (Bahadori et al., 2011). These functions, referred to as ‘response functions R’, are derived using models of the microscopic structure of bone geometry of different skeletal regions and the transport of the secondary ionising radiations through those geometries.…”
Section: Computational Methods For Skeletal Tissuesmentioning
confidence: 99%