Abstract
Energy is deposited in matter by ionizing radiations through atomic interactions such as ionization and excitation. Over the past several decades, studies have investigated the microscopic distribution of such energy deposition events on the trajectory of ionizing radiations, known as track structure, and the influence on the relative biological effectiveness (RBE). Specifically, these are microdosimetry studies, which are generally distinguished from conventional dosimetry due to the need to consider the stochastic nature of energy depositions. Thus, two stochastic quantities specially used in microdosimetry (i.e., specific and lineal energies) were defined and measured. These were used instead of the corresponding nonstochastic quantities generally utilized in conventional dosimetry (i.e., absorbed dose and linear energy transfer (LET)). The use of such microdosimetric quantities as index for expressing the radiation fields has brought to the development of numerous models for RBE estimation of charged particle therapy. Of note, a subset of these has already been implemented in carbon-ion therapy’s treatment planning. In this chapter, we review the definitions of microdosimetric quantities. For discussion, we present examples of calculated track structures and microdosimetric quantities of several monoenergetic radiations. Additionally, we briefly review and summarize past studies on the applications of microdosimetry in proton therapy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rossi HH (1959) Specification of radiation quality. Radiat Res 10:522–531
Rossi HH (1960) Spatial distribution of energy deposition by ionizing radiation. Radiat Res Suppl. 2:290–299
International Commission on Radiation Units and Measurements (1983) Microdosimetry. ICRU Report 36
International Commission on Radiation Units and Measurements (1986) The quality factor in radiation protection. ICRU Report 40
Nikjoo H, Uehara S, Khvostunov IG, Cucinotta FA, Wilson WE, Goodhead DT (2001) Monte Carlo track structure for radiation biology and space applications. Phys Med 17:38–44
Watanabe R, Wada S, Funayama T, Kobayashi Y, Saito K, Furusawa Y (2011) Monte carlo simulation of radial distribution of DNA strand breaks along the C and ne ion paths. Radiat Prot Dosim 143(2–4):186–190. https://doi.org/10.1093/rpd/ncq539
Plante I (2011) A Monte-Carlo step-by-step simulation code of the non-homogeneous chemistry of the radiolysis of water and aqueous solutions. Part I: theoretical framework and implementation. Radiat Environ Biophys 50(3):389–403. https://doi.org/10.1007/s00411-011-0367-8
Plante I (2011) A Monte-Carlo step-by-step simulation code of the non-homogeneous chemistry of the radiolysis of water and aqueous solutions-part II: calculation of radiolytic yields under different conditions of LET, pH, and temperature. Radiat Environ Biophys 50(3):405–415. https://doi.org/10.1007/s00411-011-0368-7
Friedland W, Dingfelder M, Kundrat P, Jacob P (2011) Track structures, DNA targets and radiation effects in the biophysical Monte Carlo simulation code PARTRAC. Mutat Res Fund Mol M 711(1–2):28–40. https://doi.org/10.1016/j.mrfmmm.2011.01.003
Nikjoo H, Uehara S, Emfietzoglou D, Cucinotta FA (2006) Track-structure codes in radiation research. Radiat Meas 41(9–10):1052–1074. https://doi.org/10.1016/j.radmeas.2006.02.001
Agostinelli S, Allison J, Amako K, Apostolakis J, Araujo H, Arce P et al (2003) GEANT4-a simulation toolkit. Nucl Instrum Meth A 506(3):250–303. https://doi.org/10.1016/S0168-9002(03)01368-8
Sato T, Niita K, Matsuda N, Hashimoto S, Iwamoto Y, Noda S et al (2013) Particle and heavy ion transport code system, PHITS, version 2.52. J Nucl Sci Technol 50(9):913–923. https://doi.org/10.1080/00223131.2013.814553
Bernal MA, Bordage MC, Brown JMC, Davidkova M, Delage E, El Bitar Z et al (2015) Track structure modeling in liquid water: a review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit. Phys Med 31(8):861–874. https://doi.org/10.1016/j.ejmp.2015.10.087
Sato T, Watanabe R, Niita K (2006) Development of a calculation method for estimating specific energy distribution in complex radiation fields. Radiat Prot Dosim 122(1–4):41–45
Sato T, Kase Y, Watanabe R, Niita K, Sihver L (2009) Biological dose estimation for charged-particle therapy using an improved PHITS code coupled with a microdosimetric kinetic model. Radiat Res 171(1):107–117. https://doi.org/10.1667/Rr1510.1
Polster L, Schuemann J, Rinaldi I, Burigo L, McNamara AL, Stewart RD et al (2015) Extension of TOPAS for the simulation of proton radiation effects considering molecular and cellular endpoints. Phys Med Biol 60(13):5053–5070. https://doi.org/10.1088/0031-9155/60/13/5053
Sato T, Furusawa Y (2012) Cell survival fraction estimation based on the probability densities of domain and cell nucleus specific energies using improved microdosimetric kinetic models. Radiat Res 178(4):341–356. https://doi.org/10.1667/Rr2842.1
Butts JJ, Katz R (1967) Theory of RBE for heavy ion bombardment of dry enzymes and viruses. Radiat Res 30:855–871
Hawkins RB (1996) A microdosimetric-kinetic model of cell death from exposure to ionizing radiation of any LET, with experimental and clinical applications. Int J Radiat Biol 69(6):739–755. https://doi.org/10.1080/095530096145481
Inaniwa T, Furukawa T, Kase Y, Matsufuji N, Toshito T, Matsumoto Y et al (2010) Treatment planning for a scanned carbon beam with a modified microdosimetric kinetic model. Phys Med Biol 55(22):6721–6737. https://doi.org/10.1088/0031-9155/55/22/008
Friedrich T, Scholz U, Elsasser T, Durante M, Scholz M (2012) Calculation of the biological effects of ion beams based on the microscopic spatial damage distribution pattern. Int J Radiat Biol 88(1–2):103–107. https://doi.org/10.3109/09553002.2011.611213
Paganetti H, Niemierko A, Ancukiewicz M, Gerweck LE, Goitein M, Loeffler JS et al (2002) Relative biological effectiveness (RBE) values for proton beam therapy. Int J Radiat Oncol Biol Phys 53(2):407–421. https://doi.org/10.1016/S0360-3016(02)02754-2. Pii S0360-3016(02)02754-2
Paganetti H (2014) Relative biological effectiveness (RBE) values for proton beam therapy. Variations as a function of biological endpoint, dose, and linear energy transfer. Phys Med Biol 59(22):R419–RR72. https://doi.org/10.1088/0031-9155/59/22/R419
Paganetti H, Olko P, Kobus H, Becker R, Schmitz T, Waligorski MPR et al (1997) Calculation of relative biological effectiveness for proton beams using biological weighting functions. Int J Radiat Oncol Biol Phys 37(3):719–729. https://doi.org/10.1016/S0360-3016(96)00540-8
Coutrakon G, Cortese J, Ghebremedhin A, Hubbard J, Johanning J, Koss P et al (1997) Microdosimetry spectra of the Loma Linda proton beam and relative biological effectiveness comparisons. Med Phys 24(9):1499–1506. https://doi.org/10.1118/1.598038
Kase Y, Yamashita W, Matsufuji N, Takada K, Sakae T, Furusawa Y et al (2013) Microdosimetric calculation of relative biological effectiveness for design of therapeutic proton beams. J Radiat Res 54:485–493. https://doi.org/10.1093/jrr/rrt099
Takada K, Sato T, Kumada H, Koketsu J, Takei H, Sakurai H, Sakae T (2018) Validation of the physical and RBE-weighted dose estimator based on PHITS coupled with a microdosimetric kinetic model for proton therapy. Journal of Radiation Research 59(1):91–99
Acknowledgments
The author is grateful to Dr. Kenta Takada of Gunma Prefectural College of Health Sciences and Dr. Yuki Kase of Shizuoka Cancer Center for their support for simulating the beam line of Proton Beam Center of the University of Tsukuba Hospital using PHITS, and Dr. Ianik Plante of the National Aeronautics and Space Administration (NASA) for his advice for using RITRACKS.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Sato, T. (2020). Track Structure and Microdosimetry of Proton Beams. In: Tsuboi, K., Sakae, T., Gerelchuluun, A. (eds) Proton Beam Radiotherapy. Springer, Singapore. https://doi.org/10.1007/978-981-13-7454-8_6
Download citation
DOI: https://doi.org/10.1007/978-981-13-7454-8_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-7453-1
Online ISBN: 978-981-13-7454-8
eBook Packages: MedicineMedicine (R0)