Literature DB >> 28832343

A new formalism for modelling parameters α and β of the linear-quadratic model of cell survival for hadron therapy.

Oleg N Vassiliev1, David R Grosshans, Radhe Mohan.   

Abstract

We propose a new formalism for calculating parameters α and β of the linear-quadratic model of cell survival. This formalism, primarily intended for calculating relative biological effectiveness (RBE) for treatment planning in hadron therapy, is based on a recently proposed microdosimetric revision of the single-target multi-hit model. The main advantage of our formalism is that it reliably produces α and β that have correct general properties with respect to their dependence on physical properties of the beam, including the asymptotic behavior for very low and high linear energy transfer (LET) beams. For example, in the case of monoenergetic beams, our formalism predicts that, as a function of LET, (a) α has a maximum and (b) the α/β ratio increases monotonically with increasing LET. No prior models reviewed in this study predict both properties (a) and (b) correctly, and therefore, these prior models are valid only within a limited LET range. We first present our formalism in a general form, for polyenergetic beams. A significant new result in this general case is that parameter β is represented as an average over the joint distribution of energies E 1 and E 2 of two particles in the beam. This result is consistent with the role of the quadratic term in the linear-quadratic model. It accounts for the two-track mechanism of cell kill, in which two particles, one after another, damage the same site in the cell nucleus. We then present simplified versions of the formalism, and discuss predicted properties of α and β. Finally, to demonstrate consistency of our formalism with experimental data, we apply it to fit two sets of experimental data: (1) α for heavy ions, covering a broad range of LETs, and (2) β for protons. In both cases, good agreement is achieved.

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Year:  2017        PMID: 28832343      PMCID: PMC5737022          DOI: 10.1088/1361-6560/aa8804

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  29 in total

1.  Fitting the linear-quadratic model to detailed data sets for different dose ranges.

Authors:  L M Garcia; J Leblanc; D Wilkins; G P Raaphorst
Journal:  Phys Med Biol       Date:  2006-05-17       Impact factor: 3.609

2.  Fitting techniques of cell survival curves in high-dose region for use in stereotactic body radiation therapy.

Authors:  F W McKenna; S Ahmad
Journal:  Phys Med Biol       Date:  2009-02-19       Impact factor: 3.609

3.  A model of radiation-induced cell killing: insights into mechanisms and applications for hadron therapy.

Authors:  Francesca Ballarini; Saverio Altieri; Silva Bortolussi; Elio Giroletti; Nicoletta Protti
Journal:  Radiat Res       Date:  2013-08-14       Impact factor: 2.841

4.  Some implications of linear-quadratic-linear radiation dose-response with regard to hypofractionation.

Authors:  Melvin Astrahan
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

Review 5.  Track structures, DNA targets and radiation effects in the biophysical Monte Carlo simulation code PARTRAC.

Authors:  Werner Friedland; Michael Dingfelder; Pavel Kundrát; Peter Jacob
Journal:  Mutat Res       Date:  2011-01-31       Impact factor: 2.433

6.  Empirical model estimation of relative biological effectiveness for proton beam therapy.

Authors:  Y Chen; S Ahmad
Journal:  Radiat Prot Dosimetry       Date:  2011-05-18       Impact factor: 0.972

Review 7.  Relative biological effectiveness (RBE) values for proton beam therapy. Variations as a function of biological endpoint, dose, and linear energy transfer.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2014-10-31       Impact factor: 3.609

8.  The influence of RBE variations in a clinical proton treatment plan for a hypopharynx cancer.

Authors:  N Tilly; J Johansson; U Isacsson; J Medin; E Blomquist; E Grusell; B Glimelius
Journal:  Phys Med Biol       Date:  2005-05-25       Impact factor: 3.609

9.  Extending the linear-quadratic model for large fraction doses pertinent to stereotactic radiotherapy.

Authors:  M Guerrero; X Allen Li
Journal:  Phys Med Biol       Date:  2004-10-21       Impact factor: 3.609

Review 10.  Weiss Lecture. Effects of radiations of different qualities on cells: molecular mechanisms of damage and repair.

Authors:  D T Goodhead; J Thacker; R Cox
Journal:  Int J Radiat Biol       Date:  1993-05       Impact factor: 2.694

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  4 in total

1.  Systematic microdosimetric data for protons of therapeutic energies calculated with Geant4-DNA.

Authors:  Oleg N Vassiliev; Christine B Peterson; Wenhua Cao; David R Grosshans; Radhe Mohan
Journal:  Phys Med Biol       Date:  2019-11-04       Impact factor: 3.609

2.  On calculation of the average linear energy transfer for radiobiological modelling.

Authors:  Oleg N Vassiliev
Journal:  Biomed Phys Eng Express       Date:  2020-11-20

3.  RBE Model-Based Biological Dose Optimization for Proton Radiobiology Studies.

Authors:  Fada Guan; Changran Geng; Duo Ma; Lawrence Bronk; Matthew Kerr; Yuting Li; Drake Gates; Benjamin Kroger; Narayan Sahoo; Uwe Titt; David Grosshans; Radhe Mohan
Journal:  Int J Part Ther       Date:  2018-09-21

4.  A simple model for calculating relative biological effectiveness of X-rays and gamma radiation in cell survival.

Authors:  Oleg N Vassiliev; Christine B Peterson; David R Grosshans; Radhe Mohan
Journal:  Br J Radiol       Date:  2020-06-04       Impact factor: 3.039

  4 in total

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