Literature DB >> 23594445

Lineal energy and radiation quality in radiation therapy: model calculations and comparison with experiment.

L Lindborg1, M Hultqvist, Å Carlsson Tedgren, H Nikjoo.   

Abstract

Microdosimetry is a recommended method for characterizing radiation quality in situations when the biological effectiveness under test is not well known. In such situations, the radiation beams are described by their lineal energy probability distributions. Results from radiobiological investigations in the beams are then used to establish response functions that relate the lineal energy to the relative biological effectiveness (RBE). In this paper we present the influence of the size of the simulated volume on the relation to the clinical RBE values (or weighting factors). A single event probability distribution of the lineal energy is approximated by its dose average lineal energy (y[overline](D)) which can be measured or calculated for volumes from a few micrometres down to a few nanometres. The clinical RBE values were approximated as the ratio of the α-values derived from the LQ-relation. Model calculations are presented and discussed for the SOBP of a (12)C ion (290 MeV u(-1)) and the reference (60)Co γ therapy beam. Results were compared with those for a conventional x-ray therapy beam, a 290 MeV proton beam and a neutron therapy beam. It is concluded that for a simulated volume of about 10 nm, the α-ratio increases approximately linearly with the y[overline](D)-ratio for all the investigated beams. The correlation between y and α provides the evidence to characterize a radiation therapy beam by the lineal energy when, for instance, weighting factors are to be estimated.

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Year:  2013        PMID: 23594445     DOI: 10.1088/0031-9155/58/10/3089

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


  7 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.  Using the Proton Energy Spectrum and Microdosimetry to Model Proton Relative Biological Effectiveness.

Authors:  Mark Newpower; Darshana Patel; Lawrence Bronk; Fada Guan; Pankaj Chaudhary; Stephen J McMahon; Kevin M Prise; Giuseppe Schettino; David R Grosshans; Radhe Mohan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-02-05       Impact factor: 7.038

3.  Experimental validation of an analytical microdosimetric model based on Geant4-DNA simulations by using a silicon-based microdosimeter.

Authors:  A Bertolet; V Grilj; C Guardiola; A D Harken; M A Cortés-Giraldo; A Baratto-Roldán; A Carabe
Journal:  Radiat Phys Chem Oxf Engl 1993       Date:  2020-06-17       Impact factor: 2.858

Review 4.  Applications of nanodosimetry in particle therapy planning and beyond.

Authors:  Antoni Rucinski; Anna Biernacka; Reinhard Schulte
Journal:  Phys Med Biol       Date:  2021-12-10       Impact factor: 3.609

5.  Investigating Dependencies of Relative Biological Effectiveness for Proton Therapy in Cancer Cells.

Authors:  Michelle E Howard; Chris Beltran; Sarah Anderson; Wan Chan Tseung; Jann N Sarkaria; Michael G Herman
Journal:  Int J Part Ther       Date:  2018-03-21

6.  Report on G4-Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group.

Authors:  P Arce; D Bolst; M-C Bordage; J M C Brown; P Cirrone; M A Cortés-Giraldo; D Cutajar; G Cuttone; L Desorgher; P Dondero; A Dotti; B Faddegon; C Fedon; S Guatelli; S Incerti; V Ivanchenko; D Konstantinov; I Kyriakou; G Latyshev; A Le; C Mancini-Terracciano; M Maire; A Mantero; M Novak; C Omachi; L Pandola; A Perales; Y Perrot; G Petringa; J M Quesada; J Ramos-Méndez; F Romano; A B Rosenfeld; L G Sarmiento; D Sakata; T Sasaki; I Sechopoulos; E C Simpson; T Toshito; D H Wright
Journal:  Med Phys       Date:  2020-12-12       Impact factor: 4.071

7.  Compact Tissue-equivalent Proportional Counter for Deep Space Human Missions.

Authors:  T Straume; L A Braby; T B Borak; T Lusby; D W Warner; D Perez-Nunez
Journal:  Health Phys       Date:  2015-10       Impact factor: 1.316

  7 in total

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