Abstract
When planning treatment, RBE values have to be estimated as precisely as possible. The RBE has complex dependencies, so it is important to simplify processes in order to identify and quantitatively describe the most important when applying biophysical models in ion beam therapy (IBT). The primary particles and also all fragments produced in the stopping process should be considered because the biological effect depends on the particle [1]. The biological response to radiation by ions also depends on the particle energy, dose level, oxygen status, and the irradiated tissue or cell system [2]. As noted, all of these factors must be considered to predict the response of biological tissue to the complex radiation field.
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References
Schardt D, Elsässer T, Schulz-Ertner D (2010) Heavy-ion tumor therapy: physical and radiobiological benefits. Rev Mod Phys 82:383–425
Scholz M (2003) Effects of ion radiation on cells and tissues. Adv Polym Sci 62:96–155
Scholz M (2014) Radiation quality in ion beam therapy: how to take into account the RBE? EURADOS Winter School 2014. GSI Darmstadt
Schlaff CD, Krauze A, Belard A et al (2014) Bringing the heavy: carbon ion therapy in the radiobiological and clinical context. Radiat Oncol 9:88–107
Deacon J, Peckham MJ, Steel GG (1984) The radio responsiveness of human tumours and the initial slope of the cell survival curve. Radiother Oncol 2:317–323
Inaniwa T, Furukawa T, Kase Y et al (2010) Treatment planning for a scanned carbon beam with a modified microdosimetric kinetic model. Phys Med Biol 55:6721–6737
Mihailescu D, Borcia C (2012) Biophysical models in hadrontherapy. J. Adv. Res. Phys. 3(1):1–9. http://stoner.phys.uaic.ro/jarp/index.php/jarp/article/download/105/62
Scholz M, Kellerer AM, Kraft-Weyrather W, Kraft G (1997) Computation of cell survival in heavy ion beams for therapy. The model and its approximation. Radiat Environ Biophys 36:59–66
Elsasser T, Scholz M (2006) Improvement of the local effect model (LEM)—implications of clustered DNA damage. Radiat Prot Dosimetry 122:475–477
Elsasser T, Kramer M, Sholz M (2008) Accuracy of the local effect model for the prediction of biological effect of carbon ions beams in vitro and in vivo. Int J Radiat Oncol Biol Phys 71:866–872
Elsässer T, Weirather WK, Friedrich T et al (2010) Quantification of the relative biological effectiveness for ion beam radiotherapy: direct experimental comparison of proton and carbon ion beams and a novel approach for treatment planning. Int J Radiat Oncol Biol Phys 78(4):1177–1183
Wilkens JJ, Oelfke U (2008) Direct comparison of biologically optimized spread-out Bragg peaks for protons and carbon ions. Int J Radiat Oncol Biol Phys 709:262–266
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Nunes, M.d. (2015). Modelling Heavy Ion Radiation Effects. In: Protontherapy Versus Carbon Ion Therapy. Biological and Medical Physics, Biomedical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-18983-3_4
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DOI: https://doi.org/10.1007/978-3-319-18983-3_4
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