Hirao Y, Ogawa H, Yamada S, Sato Y, Yamada T, Sato K, et al. Heavy ion synchrotron for medical use—HIMAC project at NIRS-Japan. Nucl Phys A. 1992;538:541–50.
Kanai T, Furusawa Y, Fukutsu K, Itsukaichi H, Eguchi-Kasai K, Ohara H. Irradiation of mixed beam and design of spread-out Bragg peak for heavy-ion radiotherapy. Radiat Res. 1997;147(1):78–85.
Article CAS PubMed Google Scholar
Tsujii H, Kamada T, Shirai T, Noda K, Tsuji H, Karasawa K. Carbon-ion radiotherapy. Berlin: Springer; 2013.
Karger CP, Peschke P. RBE and related modeling in carbon-ion therapy. Phys Med Biol. 2017;63(1):01TR02.
Kanai T, Endo M, Minohara S, Miyahara N, Koyama-ito H, Tomura H, et al. Biophysical characteristics of HIMAC clinical irradiation system for heavy-ion radiation therapy. Int J Radiat Oncol Biol Phys. 1999;44(1):201–10.
Article CAS PubMed Google Scholar
Kase Y, Kanai T, Matsumoto Y, Furusawa Y, Okamoto H, Asaba T, et al. Microdosimetric measurements and estimation of human cell survival for heavy-ion beams. Radiat Res. 2006;166(4):629–38.
Article CAS PubMed Google Scholar
Inaniwa T, Furukawa T, Kase Y, Matsufuji N, Toshito T, Matsumoto Y, et al. Treatment planning for a scanned carbon beam with a modified microdosimetric kinetic model. Phys Med Biol. 2010;55(22):6721–37.
Inaniwa T, Kanematsu N, Matsufuji N, Kanai T, Shirai T, Noda K, et al. Reformulation of a clinical-dose system for carbon-ion radiotherapy treatment planning at the National Institute of Radiological Sciences Japan. Phys Med Biol. 2015;60(8):3271–86.
Scholz M, Kellerer AM, Kraft-Weyrather W, Kraft G. Computation of cell survival in heavy ion beams for therapy. Radiat Environ Biophys. 1997;36(1):59–66.
Article CAS PubMed Google Scholar
Inaniwa T, Furukawa T, Kanematsu N, Mori S, Mizushima K, Sato S, et al. Evaluation of hybrid depth scanning for carbon-ion radiotherapy. Med Phys. 2012;39(5):2820–5.
Inaniwa T, Kanematsu N, Hara Y, Furukawa T, Fukahori M, Nakao M, et al. Implementation of a triple Gaussian beam model with subdivision and redefinition against density heterogeneities in treatment planning for scanned carbon-ion radiotherapy. Phys Med Biol. 2014;59(18):5361–86.
Article CAS PubMed Google Scholar
Haberer T, Becher W, Schardt D, Kraft G. Magnetic scanning system for heavy ion therapy. Nucl Instrum Methods Phys Res. 1993;330(1–2):296–305.
Thilo ES, Michael S. Cluster effects within the local effect model. Radiat Res. 2007;167(3):319–29.
Elsasser T, Weyrather WK, Friedrich T, Durante M, Iancu G, Kramer M, et al. 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. 2010;78(4):1177–83.
Grun R, Friedrich T, Elsasser T, Kramer M, Zink K, Karger CP, et al. Impact of enhancements in the local effect model (LEM) on the predicted RBE-weighted target dose distribution in carbon ion therapy. Phys Med Biol. 2012;57(22):7261–74.
Article CAS PubMed Google Scholar
Friedrich T, Scholz U, Elsasser T, Durante M, Scholz M. Calculation of the biological effects of ion beams based on the microscopic spatial damage distribution pattern. Int J Radiat Biol. 2012;88(1–2):103–7.
Article CAS PubMed Google Scholar
Mein S, Klein C, Kopp B, Magro G, Harrabi S, Karger CP, et al. Assessment of RBE-weighted dose models for carbon ion therapy toward modernization of clinical practice at HIT: in vitro, in vivo, and in patients. Int J Radiat Oncol Biol Phys. 2020;108(3):779–91.
Mairani A, Brons S, Cerutti F, Fasso A, Ferrari A, Kramer M, et al. The FLUKA Monte Carlo code coupled with the local effect model for biological calculations in carbon ion therapy. Phys Med Biol. 2010;55(15):4273–89.
Article CAS PubMed Google Scholar
Parodi K, Mairani A, Brons S, Hasch BG, Sommerer F, Naumann J, et al. Monte Carlo simulations to support start-up and treatment planning of scanned proton and carbon ion therapy at a synchrotron-based facility. Phys Med Biol. 2012;57(12):3759–84.
Article CAS PubMed Google Scholar
Fossati P, Molinelli S, Matsufuji N, Ciocca M, Mirandola A, Mairani A, et al. Dose prescription in carbon ion radiotherapy: a planning study to compare NIRS and LEM approaches with a clinically-oriented strategy. Phys Med Biol. 2012;57(22):7543.
Molinelli S, Magro G, Mairani A, Matsufuji N, Kanematsu N, Inaniwa T, et al. Dose prescription in carbon ion radiotherapy: How to compare two different RBE-weighted dose calculation systems. Radiother Oncol. 2016;120(2):307–12.
Magro G, Dahle TJ, Molinelli S, Ciocca M, Fossati P, Ferrari A, et al. The FLUKA Monte Carlo code coupled with the NIRS approach for clinical dose calculations in carbon ion therapy. Phys Med Biol. 2017;62(9):3814–27.
Article CAS PubMed Google Scholar
Choi K, Mein SB, Kopp B, Magro G, Molinelli S, Ciocca M, et al. FRoG-A new calculation engine for clinical investigations with proton and carbon ion beams at CNAO. Cancers (Basel). 2018;10(11):395.
Article CAS PubMed Google Scholar
Kiefer J, Straaten H. A model of ion track structure based on classical collision dynamics. Phys Med Biol. 1986;31(11):1201–9.
Article CAS PubMed Google Scholar
Chatterjee A, Schaefer HJ. Microdosimetric structure of heavy ion tracks in tissue. Radiat Environ Biophys. 1976;13(3):215–27.
Article CAS PubMed Google Scholar
Aso T, Kimura A, Kameoka S, Murakami K, Sasaki T, Yamashita T. GEANT4 based simulation framework for particle therapy system. 2007 IEEE Nucl Sci Symp Conf Record. 2007;4:2564–7.
Agostinelli S, Allison J, Amako K, Apostolakis J, Araujo H, Arce P, et al. Geant4—a simulation toolkit. Nucl Instrum Methods Phys Res Sect A Accel Spectrom Detect Assoc Equip. 2003;506(3):250–303.
Kase Y, Kanai T, Matsufuji N, Furusawa Y, Elsasser T, Scholz M. Biophysical calculation of cell survival probabilities using amorphous track structure models for heavy-ion irradiation. Phys Med Biol. 2008;53(1):37–59.
Steinstrater O, Grun R, Scholz U, Friedrich T, Durante M, Scholz M. Mapping of RBE-weighted doses between HIMAC- and LEM-Based treatment planning systems for carbon ion therapy. Int J Radiat Oncol Biol Phys. 2012;84(3):854–60.
Wang W, Huang Z, Sheng Y, Zhao J, Shahnazi K, Zhang Q, et al. RBE-weighted dose conversions for carbon ion radiotherapy between microdosimetric kinetic model and local effect model for the targets and organs at risk in prostate carcinoma. Radiother Oncol. 2020;144:30–6.
Article CAS PubMed Google Scholar
Choi K, Molinelli S, Russo S, Mirandola A, Fiore MR, Vischioni B, et al. Rectum dose constraints for carbon ion therapy: relative biological effectiveness model dependence in relation to clinical outcomes. Cancers (Basel). 2020;12(1):46.
Dale JE, Molinelli S, Vitolo V, Vischioni B, Fossati P. Optic nerve constraints for carbon ion RT at CNAO—reporting and relating outcome to European and Japanese RBE. Radiother Oncol. 2019;140:175–81.
Wang W, Huang Z, Sun W, Wang X, Zhao J, Shen H. Calibration and evaluation of the relative biological effectiveness for carbon-ion radiotherapy in a new relative to a clinically applied treatment planning system. Radiat Oncol. 2022;17(1):219.
Article PubMed PubMed Central Google Scholar
Wang W, Li P, Shahnazi K, Wu X, Zhao J. Calculating dose-averaged linear energy transfer in an analytical treatment planning system for carbon-ion radiotherapy. J Appl Clin Med Phys. 2023;24(2):e13866.
Bohlen TT, Cerutti F, Dosanjh M, Ferrari A, Gudowska I, Mairani A, et al. Benchmarking nuclear models of FLUKA and GEANT4 for carbon ion therapy. Phys Med Biol. 2010;55(19):5833–47.
Article CAS PubMed Google Scholar
Inaniwa T, Kanematsu N. A trichrome beam model for biological dose calculation in scanned carbon-ion radiotherapy treatment planning. Phys Med Biol. 2015;60(1):437–51.
Article CAS PubMed Google Scholar
Yang S, Chen B, Zhuo W, Shen H, Zhao J. Measurements of linear energy transfer (LET) distributions by CR-39 for a therapeutic carbon ion beam with a new 2D ripple filter. Radiat Phys Chem Oxf Engl. 1993;2022(197): 110193.
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