Biological dose calculation with Monte Carlo physics simulation for heavy-ion radiotherapy

Treatment planning of heavy-ion radiotherapy involves predictive calculation of not only the physical dose but also the biological dose in a patient body. The biological dose is defined as the product of the physical dose and the relative biological effectiveness (RBE). In carbon-ion radiotherapy at National Institute of Radiological Sciences, the RBE value has been defined as the ratio of the 10% survival dose of 200 kVp x-rays to that of the radiation of interest for in vitro human salivary gland tumour cells. In this note, the physical and biological dose distributions of a typical therapeutic carbon-ion beam are calculated using the GEANT4 Monte Carlo simulation toolkit in comparison with those with the biological dose estimate system based on the one-dimensional beam model currently used in treatment planning. The results differed between the GEANT4 simulation and the one-dimensional beam model, indicating the physical limitations in the beam model. This study demonstrates that the Monte Carlo physics simulation technique can be applied to improve the accuracy of the biological dose distribution in treatment planning of heavy-ion radiotherapy.

[1]  D. Schardt,et al.  Charge-changing nuclear reactions of relativistic light-ion beams (5 ≤ Z ≤ 10) passing through thick absorbers☆ , 1996 .

[2]  T. Kanai,et al.  Inactivation of Aerobic and Hypoxic Cells from Three Different Cell Lines by Accelerated 3He-, 12C- and 20Ne-Ion Beams , 2000, Radiation Research.

[3]  T. Sasaki,et al.  Verification of the dose distributions with GEANT4 simulation for proton therapy , 2004, IEEE Symposium Conference Record Nuclear Science 2004..

[4]  T. Inaniwa,et al.  Spatial fragment distribution from a therapeutic pencil-like carbon beam in water , 2005, Physics in medicine and biology.

[5]  S Minohara,et al.  Biophysical characteristics of HIMAC clinical irradiation system for heavy-ion radiation therapy. , 1999, International journal of radiation oncology, biology, physics.

[6]  J. Palta,et al.  Comprehensive QA for radiation oncology: report of AAPM Radiation Therapy Committee Task Group 40. , 1994, Medical physics.

[7]  Igor Mishustin,et al.  Neutrons from fragmentation of light nuclei in tissue-like media: a study with the GEANT4 toolkit. , 2005, Physics in medicine and biology.

[8]  T. Kanai,et al.  Initial recombination in a parallel-plate ionization chamber exposed to heavy ions. , 1998, Physics in medicine and biology.

[9]  Tatsuaki Kanai,et al.  Depth-Dose Distributions of High-Energy Carbon, Oxygen and Neon Beams in Water , 1998 .

[10]  T Kanai,et al.  Irradiation of mixed beam and design of spread-out Bragg peak for heavy-ion radiotherapy. , 1997, Radiation research.

[11]  Harold O. Wyckoff,et al.  International Commission ON Radiation Units and Measurements (ICRU). , 1974, The American journal of roentgenology, radium therapy, and nuclear medicine.

[12]  Tatsuaki Kanai,et al.  Examination of GyE system for HIMAC carbon therapy. , 2006, International journal of radiation oncology, biology, physics.

[13]  M. Fippel,et al.  A Monte Carlo dose calculation algorithm for proton therapy. , 2004, Medical physics.

[14]  J F Ziegler,et al.  Comments on ICRU report no. 49: stopping powers and ranges for protons and alpha particles. , 1999, Radiation research.