Investigations of parameters affecting the photon energy spectra of an 18 MV Varian 2100C/D linear accelerator

Authors

10.22052/8.1.2

Abstract

Radiotherapy using linear accelerators is known as an effective modality for cancer treatment. The photons energy of treatment beams significantly affect the dose distribution. Therefore, it is important to accurately evaluate the photon energy spectra. In this study, MCNPX Monte Carlo code (version 2.6.0) was used to simulate an 18 MV photon beam of a Varian 2100C/D linear accelerator. By matching computed and measured percent depth and profile doses, the optimum values of mean energy and full width at half maximum (FWHM) of the radial distribution of beam were found to be 18.5 MeV and 0.14 cm, respectively. The simulation was also used to investigate the impact of parameters, such as depth, source-to-surface distances (SSD), field size, flattening filter material and geometry of treatment head components on the photon spectra. The results showed that the photon spectra were decreased as an exponential function by increasing depth in phantom and SSD. Results also indicated that the photon spectra depend on the Z of the flattening filter materials. Photon spectra for low-Z materials, such as Al, were significantly increased (up to 31.6%) in comparison with using the original material due to the decrease in the photon absorption cross-section. Each component of the linac head has a different effect on the photon spectrum due to its material and special shape. Based on the obtained results, primary collimator and MLC have, respectively, maximum and minimum effect on the mean energy of photons. Moreover, photon spectra were changed considerably with field size. Change in the photon spectra up to 28.3% was obtained when using 40 × 40 cm2 field size compared to the 5 × 5 cm2 because of the increased scatter from the collimator and the phantom.

Keywords


[1] E. Evans and J. Staffurth. Principles of Cancer Treatment by Radiotherapy. Surgery, Oxford, (2018). [2] K. Leszczynski and S. Boyko. On the Controversies Surrounding the Origins of Radiation Therapy. Radiotherapy and oncology, 3 (1997) 213–217. [3] A. Facure, R.C. Falcao, AX da Silva, V.R. Crispim, and J.C. Vitorelli,. A study of neutron spectra from medical linear accelerators. Applied Radiation and Isotopes, 62 (2005) 69–72. [4] P. Andreo. Monte Carlo Simulations in Radiotherapy Dosimetry. Radiation Oncology, 13 (2018) 121. [5] O. Chibani, CM. Ma. Photonuclear Dose Calculations for High‐Energy Photon Beams from Siemens and Varian Linacs. Medical Physics, 30 (2003) 1990–2000. [6] A. Tzedakis, J.E. Damilakis, M. Mazonakis, J. Stratakis, H. Varveris, and N. Gourtsoyiannis. Influence of Initial Electron Beam Parameters on Monte Carlo Calculated Absorbed Dose Distributions for Radiotherapy Photon Beams. Medical Physics, 31 (2004) 907–913. [7] S.A. Martinez-Ovalle, R. Barquero, JM. Gómez-Ros and A.M. Lallena. Neutron Dose Equivalent and Neutron Spectra in Tissue for Clinical Linacs Operating at 15, 18 and 20 MV. Radiation Protection Dosimetry, 147 (2011) 498–511. [8] D.J. Landry and D.W. Anderson. Measurement of accelerator bremsstrahlung spectra with a high efficiency Ge detector, 18 (1991) 527–532. [9] B.A. Faddegon, C.K. Ross and D.W.O. Rogers. Forward directed bremsstrahlung of 10 to 30 MeV electrons incident on thick targets of Al and Pb. Medical Physics, 17 (1990) 773–785. [10] J. Brownridge, S. Samnick, P. Tipton, J. Veselka and N. Yeh. Determination of the Photon Spectrum of a Clinical accelerator, 11 (1984) 794–796. [11] B. Juste, R. Miro, G. Verdu and A. Santos. Linac Energy Spectrum Determination Using the Schiff Bremsstrahlung Parametric Version, (2013). [12] A. Mesbahi, P. Mehnati and A. Keshtkar. A Comparative Monte Carlo Study on 6MV Photon Beam Characteristics of Varian 21EX and Elekta SL-25 linacs, (2007) 23–30. [13] A. Nisbet, H. Weatherburn, J.D. Fenwick and G. McVey. Spectral Reconstruction of Clinical Megavoltage Photon Beams and the Implications of Spectral Determination on the Dosimetry of Such Beams. Physics in Medicine & Biology, 43 (1998) 1507. [14] J.C.L. Chow and A.M. Owrangi. A Surface Energy Spectral Study on the Bone Heterogeneity and Beam Obliquity Using the Flattened and Unflattened Photon Beams. Medical Dosimetry, 37 (2016) 63–70. [15] E.B. Podgorsak, J.A. Rawlinson, M.I. Glavinovic and H.E. Johns. Design of X-ray Targets for High Energy Linear Accelerators in Radiotherapy. American Journal of Roentgenology, 121 (1974) 873–882. [16] M. Allahverdi, M. Zabihzadeh, M.R. Ay, S.R. Mahdavi, M. Shahriari, A. Mesbahi and H. Alijanzadeh. Monte Carlo Estimation of Electron Contamination in an 18 MV Clinical Photon Beam. Radiation protection dosimetry, 135 (2011) 21–32. [17] M. Beigi, F. Afarande and H. Ghiasi. Safe Bunker Designing for the 18 MV Varian 2100 Clinac: a comparison between Monte Carlo simulation based upon data and new protocol recommendations. Reports of Practical Oncology & Radiotherapy, 21 (2016.) 42–49. [18] C. Yazgan and Y. Cecen. Monte Carlo Simulation of a Medical Linear Accelerator for Filtered and FFF Systems. Turkish Journal of Physics, 41 (2017) 498–506. [19] J.S. Jiménez, M.D. Lagos and S.A. Martinez-Ovalle. A Monte Carlo Study of the Photon Spectrum due to the Different Materials Used in the Construction of Flattening Filters of LINAC. Computational and mathematical methods in medicine, (2017). [20] L.S. Waters. MCNPX user’s manual. Los Alamos National Laboratory, (2002). [21] N. Tsoulfanidis. Measurement and detection of radiation. CRC press, (2010).