Literature DB >> 11538986

Track structure and the calculation of biological effects of heavy charged particles.

M Scholz1, G Kraft.   

Abstract

A new approach for the calculation of biological effects of heavy charged particles is discussed. In contrast to other models, the biological effect is determined locally as a function of the local dose deposited by the charged particle tracks. Based on measurable quantities like the X-ray survival curve, the radial dose profile within a track and a geometrical description of the cell nucleus, the model is able to predict several high LET specific properties of charge particle beams, like: (1) the relationship of inactivation cross sections vs. LET and vs. specific energy; (2) the RBE as a function of energy and atomic number of the particles, including the Z-dependent shift of RBE-maxima from 30 keV/micrometer for protons to 300 keV/micrometer for carbon ions; (3) the transition from exponential to shouldered survival curves, depending on the size of the biological object and the corresponding particle fluences.

Mesh:

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Year:  1996        PMID: 11538986     DOI: 10.1016/0273-1177(95)00784-c

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


  43 in total

1.  Treatment planning for the heavy-ion facility at GSI.

Authors:  O Jäkel; M Krämer; G H Hartmann; P Heeg; C P Karger; G Kraft
Journal:  Strahlenther Onkol       Date:  1999-06       Impact factor: 3.621

2.  Treatment planning for light ions: how to take into account relative biological effectiveness (RBE).

Authors:  O Jäkel; J Debus; M Krämer; M Scholz; G Kraft
Journal:  Strahlenther Onkol       Date:  1999-06       Impact factor: 3.621

3.  A track structure model for simulation of strand breaks in plasmid DNA after heavy ion irradiation.

Authors:  S Brons; G Taucher-Scholz; M Scholz; G Kraft
Journal:  Radiat Environ Biophys       Date:  2003-03-12       Impact factor: 1.925

4.  The potential impact of relative biological effectiveness uncertainty on charged particle treatment prescriptions.

Authors:  B Jones; T S A Underwood; R G Dale
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

5.  Gold nanoparticle induced vasculature damage in radiotherapy: Comparing protons, megavoltage photons, and kilovoltage photons.

Authors:  Yuting Lin; Harald Paganetti; Stephen J McMahon; Jan Schuemann
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

6.  Analysis of the track- and dose-averaged LET and LET spectra in proton therapy using the geant4 Monte Carlo code.

Authors:  Fada Guan; Christopher Peeler; Lawrence Bronk; Changran Geng; Reza Taleei; Sharmalee Randeniya; Shuaiping Ge; Dragan Mirkovic; David Grosshans; Radhe Mohan; Uwe Titt
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

7.  Distribution of DNA fragment sizes after irradiation with ions.

Authors:  E Gudowska-Nowak; K Psonka-Antończyk; K Weron; T Elsässer; G Taucher-Scholz
Journal:  Eur Phys J E Soft Matter       Date:  2009-10-13       Impact factor: 1.890

8.  Fast neutron relative biological effects and implications for charged particle therapy.

Authors:  B Jones; T S A Underwood; A Carabe-Fernandez; C Timlin; R G Dale
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

9.  Radiation repair models for clinical application.

Authors:  Roger G Dale
Journal:  Br J Radiol       Date:  2018-02-28       Impact factor: 3.039

10.  Modeling of chromosome aberration response functions induced by particle beams with different LET.

Authors:  Konrad Czerski; Agata Kowalska; Elena Nasonova; Polina Kutsalo; Evgeny Krasavin
Journal:  Radiat Environ Biophys       Date:  2019-11-21       Impact factor: 1.925

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