Literature DB >> 20556619

Accuracy of RBE: experimental and theoretical considerations.

T Friedrich1, W Weyrather, T Elsässer, M Durante, M Scholz.   

Abstract

The concept of the relative biological effectiveness (RBE) is essential for treatment planning in carbon ion therapy and for understanding the biological effects of high-LET radiation. As this quantity depends on many factors, both its experimental determination and the assessment of its uncertainty are not trivial. For the limiting case of zero dose, where the RBE takes its maximum value RBE(alpha), we present in this article a simple empirical-based approach to estimate its uncertainty. A Gaussian error calculus is applied to equally take into account both uncertainties from experiments with high- and low-LET radiation. From a theoretical point of view, we then infer, using a simple Monte Carlo model, the distribution of RBE(alpha) values. This illustrates why the conventional error propagation approach is inappropriate in some cases. In these cases, likewise also the error estimates have to be obtained with a more sophisticated approach. Uncertainties of RBE, visualized by error bars, are of importance for treatment planning and also for setting up a precision goal for predicting biophysical models such as the local effect model.

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Year:  2010        PMID: 20556619     DOI: 10.1007/s00411-010-0298-9

Source DB:  PubMed          Journal:  Radiat Environ Biophys        ISSN: 0301-634X            Impact factor:   1.925


  9 in total

1.  Generalized concept of the LET-RBE relationship of radiation-induced chromosome aberration and cell death.

Authors:  T Takatsuji; I Yoshikawa; M S Sasaki
Journal:  J Radiat Res       Date:  1999-03       Impact factor: 2.724

2.  RBE and its interpretation.

Authors:  G Kraft
Journal:  Strahlenther Onkol       Date:  1999-06       Impact factor: 3.621

3.  Inactivation of aerobic and hypoxic cells from three different cell lines by accelerated (3)He-, (12)C- and (20)Ne-ion beams.

Authors:  Y Furusawa; K Fukutsu; M Aoki; H Itsukaichi; K Eguchi-Kasai; H Ohara; F Yatagai; T Kanai; K Ando
Journal:  Radiat Res       Date:  2000-11       Impact factor: 2.841

4.  A microdosimetric-kinetic model for the effect of non-Poisson distribution of lethal lesions on the variation of RBE with LET.

Authors:  Roland B Hawkins
Journal:  Radiat Res       Date:  2003-07       Impact factor: 2.841

5.  Relative biological effectiveness (RBE), quality factor (Q), and radiation weighting factor (w(R)). A report of the International Commission on Radiological Protection.

Authors: 
Journal:  Ann ICRP       Date:  2003

6.  The effect of multiple small doses of x rays on skin reactions in the mouse and a basic interpretation.

Authors:  B G Douglas; J F Fowler
Journal:  Radiat Res       Date:  1976-05       Impact factor: 2.841

7.  Accuracy of the local effect model for the prediction of biologic effects of carbon ion beams in vitro and in vivo.

Authors:  Thilo Elsässer; Michael Krämer; Michael Scholz
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-04-20       Impact factor: 7.038

8.  Computation of cell survival in heavy ion beams for therapy. The model and its approximation.

Authors:  M Scholz; A M Kellerer; W Kraft-Weyrather; G Kraft
Journal:  Radiat Environ Biophys       Date:  1997-02       Impact factor: 1.925

9.  A statistical theory of cell killing by radiation of varying linear energy transfer.

Authors:  R B Hawkins
Journal:  Radiat Res       Date:  1994-12       Impact factor: 2.841

  9 in total
  6 in total

Review 1.  Proton RBE dependence on dose in the setting of hypofractionation.

Authors:  Thomas Friedrich
Journal:  Br J Radiol       Date:  2019-08-28       Impact factor: 3.039

2.  Radioactive Beams for Image-Guided Particle Therapy: The BARB Experiment at GSI.

Authors:  Daria Boscolo; Daria Kostyleva; Mohammad Javad Safari; Vasiliki Anagnostatou; Juha Äystö; Soumya Bagchi; Tim Binder; Georgios Dedes; Peter Dendooven; Timo Dickel; Vasyl Drozd; Bernhard Franczack; Hans Geissel; Chiara Gianoli; Christian Graeff; Tuomas Grahn; Florian Greiner; Emma Haettner; Roghieh Haghani; Muhsin N Harakeh; Felix Horst; Christine Hornung; Jan-Paul Hucka; Nasser Kalantar-Nayestanaki; Erika Kazantseva; Birgit Kindler; Ronja Knöbel; Natalia Kuzminchuk-Feuerstein; Bettina Lommel; Ivan Mukha; Chiara Nociforo; Shunki Ishikawa; Giulio Lovatti; Munetaka Nitta; Ikechi Ozoemelam; Stephane Pietri; Wolfgang R Plaß; Andrej Prochazka; Sivaji Purushothaman; Claire-Anne Reidel; Heidi Roesch; Fabio Schirru; Christoph Schuy; Olga Sokol; Timo Steinsberger; Yoshiki K Tanaka; Isao Tanihata; Peter Thirolf; Walter Tinganelli; Bernd Voss; Uli Weber; Helmut Weick; John S Winfield; Martin Winkler; Jianwei Zhao; Christoph Scheidenberger; Katia Parodi; Marco Durante
Journal:  Front Oncol       Date:  2021-08-19       Impact factor: 5.738

Review 3.  Bringing the heavy: carbon ion therapy in the radiobiological and clinical context.

Authors:  Cody D Schlaff; Andra Krauze; Arnaud Belard; John J O'Connell; Kevin A Camphausen
Journal:  Radiat Oncol       Date:  2014-03-28       Impact factor: 3.481

4.  Optimization of treatment planning for hypoxic tumours and re-modulation of radiation intensity in heavy-ion radiotherapy.

Authors:  Ladan Rezaee
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-17

5.  Update of the particle irradiation data ensemble (PIDE) for cell survival.

Authors:  Thomas Friedrich; Tabea Pfuhl; Michael Scholz
Journal:  J Radiat Res       Date:  2021-07-10       Impact factor: 2.724

6.  Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation.

Authors:  Thomas Friedrich; Uwe Scholz; Thilo Elsässer; Marco Durante; Michael Scholz
Journal:  J Radiat Res       Date:  2012-12-23       Impact factor: 2.724

  6 in total

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