Literature DB >> 17357437

The incorporation of the concept of minimum RBE (RbEmin) into the linear-quadratic model and the potential for improved radiobiological analysis of high-LET treatments.

Alejandro Carabe-Fernandez1, Roger G Dale, Bleddyn Jones.   

Abstract

PURPOSE: The formulation of relative biological effectiveness (RBE) for high linear energy transfer (high-LET) radiation treatments is revisited. The effects of changed production of sub-lethal damage with varying LET is now considered via the RBEmin concept, where RBEmin represents the lower limit to which RBE tends at high doses per fraction.
MATERIALS AND METHODS: An existing linear-quadratic formulation for calculating RBE variations with fractional dose for high-LET radiations is modified to incorporate the twin concepts of RBEmax (which represents the value of RBE at an effective dose-per-fraction of 0 Gy) and RBEmin.
RESULTS: Fits of the model to data showed RBEmin values in the range of 0.1- 2.27. In all cases the raw data was a better statistical fit to the model which included RBEmin, although this was only very highly significant in one case. In the case of the mouse oesophagus it is shown that, if change in the beta-radiosensitivity coefficient with LET is considered as trivial, an underestimation > 5% in RBE can be expected at X-ray doses of 2 Gy/fraction if RBEmin is not considered. To ensure that the results were not biased by the statistical method used to obtain the parameter values relevant to this analysis (i.e., using fraction-size effect or Fe-plots), an alternative method was used which provided very similar correlation with the data.
CONCLUSIONS: If the production of sublethal damage is considered independent of LET, there will be a risk that non-corrected evaluation of RBE will lead to an over- or under-estimate of RBE at low doses per fractions (the clinically relevant region).

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17357437     DOI: 10.1080/09553000601087176

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  31 in total

1.  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

Review 2.  21 years of biologically effective dose.

Authors:  J F Fowler
Journal:  Br J Radiol       Date:  2010-07       Impact factor: 3.039

3.  The apparent increase in the {beta}-parameter of the linear quadratic model with increased linear energy transfer during fast neutron irradiation.

Authors:  B Jones
Journal:  Br J Radiol       Date:  2009-12-17       Impact factor: 3.039

Review 4.  Proton relative biological effectiveness (RBE): a multiscale problem.

Authors:  Tracy Sa Underwood; Stephen J McMahon
Journal:  Br J Radiol       Date:  2018-07-26       Impact factor: 3.039

5.  Extension of TOPAS for the simulation of proton radiation effects considering molecular and cellular endpoints.

Authors:  Lisa Polster; Jan Schuemann; Ilaria Rinaldi; Lucas Burigo; Aimee L McNamara; Robert D Stewart; Andrea Attili; David J Carlson; Tatsuhiko Sato; José Ramos Méndez; Bruce Faddegon; Joseph Perl; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

6.  Theoretical implications of incorporating relative biological effectiveness into radiobiological equivalence relationships.

Authors:  R P Holloway; R G Dale
Journal:  Br J Radiol       Date:  2013-02       Impact factor: 3.039

7.  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

8.  Malignant induction probability maps for radiotherapy using X-ray and proton beams.

Authors:  C Timlin; M Houston; B Jones
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

9.  Redefining relative biological effectiveness in the context of the EQDX formalism: implications for alpha-particle emitter therapy.

Authors:  Robert F Hobbs; Roger W Howell; Hong Song; Sébastien Baechler; George Sgouros
Journal:  Radiat Res       Date:  2014-01       Impact factor: 2.841

10.  Physical parameter optimization scheme for radiobiological studies of charged particle therapy.

Authors:  Changran Geng; Drake Gates; Lawrence Bronk; Duo Ma; Fada Guan
Journal:  Phys Med       Date:  2018-06-14       Impact factor: 2.685

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.