Validation of Monte Carlo Model for Dose Evaluation outside the Treatment Field for Siemens 6MV Beam

Document Type : Original Paper

Authors

1 Mit Ghamr Oncology Center,Egypt

2 National Cancer Institute; Cairo University; Egypt

3 Faculty of Science; Physics Department; Cairo University; Egypt

4 Faculty of Science; Physics Department; Tanta University, Egypt

Abstract

Introduction: There has been a concern about the unintended doses to critical structures outside the treatment field due to the increased risk of radiation-induced second cancer following radiotherapy treatments. Today, Monte Carlo (MC) simulation is considered the most accurate method for dose calculations in different domains of medical physics.
Material and Methods: The Geant4 Application for Tomographic Emission (GATE) code was used to create an MC model of 6MV Siemens Primus linac. Measurements were taken in a water phantom using an ion chamber to validate the MC model. Dose profiles outside the treatment field at 1.5 (dmax), 5.0 and10.0 cm depths for field sizes from 5×5 to 20×20 cm2 were measured in the present study. Out-of-field percentage depth dose (PDD) curves at 0.0, 5.0, and 7.5 cm off axis for field size 10×10 cm2 were investigated for both measurements and simulation. However out-of-field PDDs from 10 to 15 cm off axis for field size 10×10 cm2 were studied only by simulation.
Results: The comparisons showed agreement between the measured and simulated doses for the out-of-field profiles along the in-plane direction for all considered field sizes and depths, as well as for the PDDs at 0.0 and 5.0 cm off axis, but with less agreement at 7.5 cm off axis. All the simulated out-of-field PDDs at distances ≥ 10 cm off axis had similar trend shapes.
Conclusion: The developed MC model is considered a good representation of 6 MV Siemens Primus linac for the out-of-field dose calculation in lieu of measurements.

Keywords

Main Subjects


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    1. Xu X , Bednarz B, Paganetti H.  A review of dosimetry studies on external-beam radiation treatment with respect to second cancer induction. Physics in Medicine & Biology.2008; 53(13):R193.
    2. Stovall M, Blackwell C, Cundiff J, Novack D, Palta J, Wagner LK et al. Fetal dose from radiotherapy with photon beams: report of AAPM Radiation Therapy Committee Task Group No. 36. Medical physics. 1995;22(1):63-82.
    3. Wilde G , Sjöstrand J. A clinical study of radiation cataract formation in adult life following γ irradiation of the lens in early childhood. British journal of ophthalmology.1997;81(4):261-6.
    4. Preston DL, Shimizu Y, Pierce DA, Suyama A, Mabuchi K. Studies of mortality of atomic bomb survivors. Report 13: Solid cancer and noncancer disease mortality: 1950–1997. Radiation research. 2003 Oct;160(4):381-407.
    5. Brenner D, Rochelle E, Eric J, Elaine R . Second malignancies in prostate carcinoma patients after radiotherapy compared with surgery. Cancer: Interdisciplinary International Journal of the American Cancer Society. 2000; 88(2):398-406.
    6. Elgendy RA , Attia WM , Attalla EM, Elnaggar MA. Influence of Distinct Radiotherapy Techniques to Induce Second Cancer Risks in Left Breast Cancer. Oncology. 2018;7:193-202.
    7. Sungkoo CH, Seong Hoon  KI, Chan Hyeong  KI, Jang Guen JH. Secondary cancer risks in out-of-field organs for 3-D conformal radiation therapy. Prog. Nucl. Sci. Technol. 2011; 1:512-24.
    8. Chetty IJ, Curran B, Cygler JE, DeMarco JJ, Ezzell G, Faddegon BA, et al. Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning. Medical physics. 2007;34(12): 4818-53.
    9. Jabbari K, Anvar H, Tavakoli M, Amouheidari A. Monte carlo simulation of siemens oncor linear accelerator with beamnrc and dosxyZnrc code. Journal of medical signals and sensors. 2013;(3.3):172.
    10. Bednarz B, Xu X. Monte Carlo modeling of a 6 and 18 MV Varian Clinac medical accelerator for in-field and out-of-field dose calculations: development and validation. Physics in Medicine & Biology. 2009;54(4):N43.
    11. Chiban O, Charlie C. On the discrepancies between Monte Carlo dose calculations and measurements for the Varian photon beam. Medical physics. 2007;34(4):1206-16.
    12. Kry SF, Titt U, Pönisch F, Followill D, Vassiliev ON, Allen White R, et al. A Monte Carlo model for calculating out-of-field dose from a Varian beam. Medical physics. 2006; 33(11):4405-13.
    13. Visvikis D, Bardies M, Chiavassa S, Danford  C, Kirov  A, Lamare F,  et al. Use of the GATE Monte Carlo package for dosimetry applications. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2006;569(2):335-40.    
    14. The Geant4 web site ,            http://www.opengatecollaboration.org/UsersGuide
    15. Jan S, Santin G, Strul D, Staelens S, Assie K, Autret D, et al. GATE: a simulation toolkit for PET and SPECT. Physics in Medicine & Biology. 2004 Sep 10;49(19):4543.
    16. De Beenhouwer J, Staelens S, Vandenberghe S, Verhaeghe J, Van Holen R, Rault E, et al. Physics process level discrimination of detections for GATE: assessment of contamination in SPECT and spurious activity in PET. Medical physics. 2009;36(4):1053-60.
    17. Agostinelli S, Allison J, Amako KA, Apostolakis J, Araujo H, Arce P,  et al. Geant4—a simulation toolkit. Nuclear instruments and methods in physics research section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2003;506(3):250-303.
    18. Elles S, Ivanchenko VN, Maire M, Urban L. Geant4 and Fano cavity test: where are we?. In Journal of Physics: Conference Series. 2008;102(1) 012009.
    19. Faddegon BA , Asai M, Perl J, Ross C, Sempau J, Tinslay J,  etal. Benchmarking of Monte Carlo simulation of bremsstrahlung from thick targets at radiotherapy energies. Medical physics. 2008;35(10):4308-17.
    20. Kry SF, Titt U, Followill D, Pönisch F, Vassiliev ON, White RA, et al. A Monte Carlo model for out-of-field dose calculation from high-energy photon therapy. Medical physics. 2007;34(9):3489-99.
    21. Brun R, Rademakers F. ROOT—an object oriented data analysis framework. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1997;389(1-2): 81-86.
    22. Abdelaal AM., Attalla EM, Elshemey WM. Dose estimation outside radiation field using Pinpoint and Semiflex ionization chamber detectors. Radiation Physics and Chemistry. 2017; 139:120-5.
    23. Technical Report Series (TRS) No. 398 Absorbed dose determination in external beam radiotherapy– An international code of practice for dosimetry based on standards of absorbed dose to water. 2000.
    24. Low DA, Harms WB, Mutic S, Purdy JA. A technique for the quantitative evaluation of dose distributions. Medical physics. 1998;25(5):656-61.
    25. Ibrahim HF, Fahmy AM, Attalla EM. Assessment of Radiation Doses in A Medical Linear Accelerator Using Simulation Models and Experimental Verification. Isotope and Radiation Research. 2017;49(1):165-78.
    26. Joosten A, Bochud F, Baechler S, Levi F, Mirimanoff RO, Moeckli R. Variability of a peripheral dose among various linac geometries for second cancer risk assessment. Physics in Medicine & Biology. 2011;56(16):5131.
    27. Almberg SS, Frengen J, Lindmo T. Monte Carlo study of in‐field and out‐of‐field dose distributions from a linear accelerator operating with and without a flattening‐filter. Medical physics. 2012;39(8):5194-203.
    28. Kry SF, Bednarz B, Howell RM, Dauer L, Followill D, Klein E, et al. AAPM TG 158: measurement and calculation of doses outside the treated volume from external‐beam radiation therapy. Medical physics. 2017;44(10):391-429.
    29. Joosten A , Matzinger O, Jeanneret-Sozzi W, Bochud F, Moeckli R. Evaluation of organ-specific peripheral doses after 2-dimensional, 3-dimensional and hybrid intensity modulated radiation therapy for breast cancer based on Monte Carlo and convolution/superposition algorithms: implications for secondary cancer risk assessment. Radiotherapy and Oncology. 2013;106(1):33-41.
    30. Diallo I, Haddy N, Adjadj E, Samand A, Quiniou E, Chavaudra J, et al. Frequency distribution of second solid cancer locations in relation to the irradiated volume among 115 patients treated for childhood cancer. International Journal of Radiation Oncology* Biology* Physics. 2009;74(3):876-83.
    31. Little MP, Hoel DG, Molitor J, Boice Jr JD, Wakeford R, Muirhead CR. New models for evaluation of radiation-induced lifetime cancer risk and its uncertainty employed in the UNSCEAR 2006 report. Radiation research. 2008;169(6):660-76.

            32.De Gonzalez AB, Curtis RE, Gilbert E, Berg CD, Smith SA, Stovall M, et al. Second solid cancers after radiotherapy for breast cancer in SEER cancer registries. British journal of cancer. 2010;102(1):220-6.

Volume 17, Issue 6
November and December 2020
Pages 410-420
  • Receive Date: 02 September 2019
  • Revise Date: 10 November 2019
  • Accept Date: 26 November 2019