Study of Dose Distribution 103Pd Source Brachytherapy in  Treatment of Cancer Adjacent to Fat and Muscle Tissues  by the Monte Carlo method using MCNP4C code

Tavakoli-Anbaran, H; Ahmadi, OL

Volume 24, Issue 8 (Nov 2016) JSSU 2016, 24(8): 618-629 | Back to browse issues page

Mendeley

Zotero

RefWorks

Tavakoli-Anbaran H, Ahmadi O. Study of Dose Distribution 103Pd Source Brachytherapy in Treatment of Cancer Adjacent to Fat and Muscle Tissues by the Monte Carlo method using MCNP4C code. JSSU 2016; 24 (8) :618-629
URL: http://jssu.ssu.ac.ir/article-1-3702-en.html

Study of Dose Distribution 103Pd Source Brachytherapy in Treatment of Cancer Adjacent to Fat and Muscle Tissues by the Monte Carlo method using MCNP4C code

H Tavakoli-Anbaran ^*

, OL Ahmadi

Abstract: (5404 Views)

Introduction: The dosimetry of the brachytherapy sources is performed in the water source medium according to protocol TG-43U1. To achieve a resonable results on treatment, the use of ~~the~~ water material for all body tissues can be one of the faulty sources in delivering the correct dose to the tumor. Thus, we have focused on the dosimetry parameters in fat density 0.95 gr/cm³ and the muscle ~~with~~ density 1.05 gr/cm³ in the present study. The results are compared with the results of the water phantom to show the accurate accessment via the differences of the results.

Methods: Dissymmetry simulations for determining the parameters of the radial dose function and the anisotropy function in fat tissues, muscle and water phantom distances and different angles has been using MCNP4C code.

Results: The greatest relative differences of the phantom radial dose function of the fat tissue at distances below 1cm approximately reached 13%; and this rate increased, when the distance from the source increased; whereas at the distance of 5cm from the source, it approximately reached 167%. In the muscle tissue, the relative difference of these parameters was about 3% at the distance of 0.5cm, while at the distance of 5cm from the source, it approximately increased 16%. The maximum relative difference of the anisotropy parameter of the fat and muscle tissue phantom compared with the water were observed more than 2% and 3%, respectively.

Conclusion: In the clinical application of the ¹⁰³Pd brachytherapy source, which is contracted in the treatment of the adjacent malignant tumors to the fat and muscle tissues, the correct decisions must be applied on the tissue dosimetry parameters in the treatment planings according to the tables of 3, 4, 5 and 6 in this study.

Keywords: MCNP4C Code, Water Phantom, Fat Tissue, Muscle Tissue, Radial Dose Function, Anisotropy Function

Full-Text [PDF 1601 kb] (1856 Downloads)

Type of Study: Original article | Subject: Medical Physics
Received: 2016/04/28 | Accepted: 2016/10/8 | Published: 2016/12/14

References

1. Shahrabi M, Tavakoli-Anbaran H. Calculating dosimetry parameters in brachytherapy using the continuous beta spectrum of Sm-153 in the Monte Carlo simulation approach. Euro Physical J Plus 2015; 130(2): 1-8.

2. Wilfred N, Houari K, Amin IK, Rajiv K, Srinivas S, Mike MG, Robert AC. In vitro radiosensitization by gold nanoparticles during continuous low-dose-rate gamma irradiation with I-125 brachytherapy seeds. Nanomedicine: Nanotechnology, Biology and Medicine 2013; 9(1): 25-7.

3. Sharma KP, Singh S, Kapoor A. Brachytherapy and external beam radiation thertapy for prostate cancer. Am J Cancer Sci 2015; 4(1): 2.

4. Stephen TM, Penny KS, Michael WM. I-125 Brachytherapy for Recurrent Atypical and Malignant Skull Base Meningiomas: Complications and Outcomes. J Neurological Surgery Part B, 2015.

5. Rivard MJ, Coursey BM, Deward LA, Hanson WF, Saiful-Huq M, libbott G, et al. Update of AAPM Task Group No.43 Report. Med Phiys 2004; 33(3): 633-74.

6. Rivard MJ. A discretized approach to determining TG-43 brachytherapy dosimetry parameters: case study using Monte Carlo calculations for the MED3633 103Pd source. Applied Radiation and Isotopes 2001; 55: 775-82.

7. Duggan DM. Improved radial dose function estimation using current version MCNP Monte-Carlo simulation model 711 and ISC3500 125I brachytherapy sources. Applied Radiation and Isotopes, 2004; 61(6): 1443-50.

8. Molavi AA, Binesh A, Moslehitabar H. Dose distribution and dosimetry parameters calculation of MED3633 palladium-103 source in water phantom using MCNP. Iran J Radiat Res 2006; 4 (1): 15-19.

9. Sowards KT. Monte Carlo dosimetric characterization of the IsoAid ADVANTAGE 103Pd brachytherapy source. J App Clinic Med Physic 2007; 8(2): 18-25.

10. Thomson RM, Taylor REP, Rogers DWO. Monte Carlo dosimetry for 125I and 103Pd eye plaque brachytherapy. Med Phys 2008; 35: 5530.

11. Gialousis G, Dimitriadis A, Yakoumakis E. Monte Carlo estimation of dose difference in lung from 192Ir brachytherapy due to tissue in homogeneity. Published by Oxford University Press, 2011; 10-28.

12. Saidi P, Sadeghi M,Shirazi M, Tenreiro C. Dosimetric parameters of the new design 103Pd brachytherapy source based on Monte Carlo study. Physica Medica 2012; 28(1): 13-18.

13. Ghorbani M, Salahshour F, Haghparast A, Ahmadi-moghaddas T. Effect of tissue composition on dose distribution in brachytherapy with various photon emitting sources. J Contemp Brachytherapy, 2014; 6(1).

14. Karimi-jashni H, Safigholi H, Meigooni AS. Influences of Spherical Phantom heterogeneities on dosimetric charactristics of miniature electronic brachytherapy X-ray sources Monte Carlo study. Applied Radiation and Isotopes, 2015; 95: 108-113.

15. Vahabi SM, Shamsaie-Zafarghandi. Prostate dose estimates and adjacent organs during the prostate brachytherapy and the scatering study of dose distribution using MCNP4C code. Iran J Radiation Safety Measur 2015; 3(4). [Persian]

16. Bakhshabadi M, Ghorbani M, Khosroabadi M, Knaup C, Meigooni AS. A compration study on various low energy sources in interstitial prostate brachytherapy. J Contemporary Brachytherapy 2016; 8(1): 74-81.

17. Ahmadi OL, Tavakoli-Anbaran H. Calculation of Error Percentage Encounter via Water Phantom instead of Soft Tissue for Brachytherapy Source Distribution of 103Pd by using Monte Carlo Method. J Shahid Sadoughi University Med Sci 2015; 23(9): 806-818. [Persian]

18. Tavakoli-Anbaran H, Ahmadi OL. The study effect of Bone tissue heterogeneity on the dose distribution of 103Pd source brachytherapy MED3633 Model Using Monte Carlo Method. Iran J Radiation Safety Measure 2016; 4(1): 25-34. [Persian].

19. Azhari H. Appendix A: Typical Acoustic Properties of Tissues in Basics of Biomedical Ultrasound for Engineers. John Wiley & Sons, Hoboken, NJ, USA, 2010.

20. Wolfe RR, Chinkes DL. Isotope Tracers in Metabolic Research: Principles and Practice of Kinetic Analysis. John Wiley & Sons, 2005.

21. Los Alamos National Labrotatory. OAK RIDGE national laboratory RSICC data library collection MCNP data. New Mexico, 2000.

22. Wallace R, Fan J. Dosimetric characterization of new design 103Pd brachytherapy source. Med Phys 1999; 26(11): 2456-70.

23. Sina S, Faghihi R, Soleymani-Meigooni A. A Comparison of the Dosimetric Parameters of Cs-137 Brachytherapy Source in Different Tissues with Water Using Monte Carlo Simulation. Iran J Med Phys 2012; 8: 65-74.

24. Li Z, Palta JR, Fan JJ. Monte Carlo calculations and experimental measurements of dosimetry parameters of a new 103 Pd source. Med Phys 2000; 27(5): 110-812.