Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-19T14:23:13.592Z Has data issue: false hasContentIssue false

Evaluation of air cavities on dose distributions with air-filled apparatuses having different volumes using Gafchromic EBT3 films in brachytherapy

Published online by Cambridge University Press:  15 August 2018

Mehmet Bahadır Çelik
Affiliation:
Department of Radiation Oncology, Mersin State Hospital, Mersin, Turkey
Nezahat Olacak
Affiliation:
Department of Radiation Oncology, Ege University Faculty of Medicine, İzmir, Turkey
Songül Barlaz Us*
Affiliation:
Department of Radiation Oncology, Mersin University Faculty of Medicine, Mersin, Turkey
Emin Tavlayan
Affiliation:
Department of Radiation Oncology, Ege University Faculty of Medicine, İzmir, Turkey
*
Author for correspondence: Songül Barlaz Us, Mersin University, 33100, Mersin, Turkey, E-mail: barlaz@gmail.com

Abstract

Aim

The data used in brachytherapy planning are obtained from homogeneous mediums. In practice, the heterogeneous tissues and materials affect the dose distribution of brachytherapy. It is aimed to investigate the effect of air cavities on brachytherapy dose distribution using a specially designed device.

Material and methods

In this study, the special device designed with different volumes of air and water to be irradiated and measured at different depths using EBT3 Gafchromic films. EBT3 Gafchromic films were preferred for this study because they can be cut to the shape of the experimental geometry, are water resistance and double directional usability.

Results

In our study, sudden dose increases and decreases were observed at the water–air–water interfaces. Increases were 9, 11·8 and 15% in the 13, 18 and 22 mm apparatus, respectively. These effects were expected and the results were consistent with the literature and within the tolerance limits stated in the clinical dose guidelines. The most important result is that the percent depth–dose curve of the radiation passing through the air to the water and only passing through the water medium is different. The average differences were 1·97, 2·97 and 2·31% for the 13, 18 and 22 mm apparatus, respectively.

Conclusion

Although the effect of heterogeneity may be neglected according to clinical guidelines, it is suggested that the dose effect of heterogeneity is taken into account so that the dose can be estimated sensitively. Brachytherapy plans using dose data without considering air gaps may cause erroneous dose distributions due to heterogeneity of tissue.

Type
Original Article
Copyright
© Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Beauleu, L, Tedgren, AC, Carrier, CF et al. Report of the Task Group 186 on model-based dose calculation methods in brachytherapy beyond the TG-43 formalism: current status and recommendations for clinical implementation. Med Phys 2012; 39 (10): 62086236.Google Scholar
2. Chiavassa, S, Buge, F, Herve, C et al. Monte Carlo evaluation of the effect of inhomogeneities on dose calculation for low energy photons intra-operative radiation therapy in pelvic area. Phys Med 2015; 31: 956962.Google Scholar
3. Adelnia, A, Fatehi, D. Estimation and evaluation of tissue inhomogeneity effect on dose distribution for high dose rate iridium 192 source using Monte Carlo simulation and film dosimetery. J Nucl Med Radiat Ther 2016; 7 (6): 16.Google Scholar
4. Zhang, H, Das, IJ. Dosimetric perturbations at high-Z interfaces with high dose rate 192Ir source. Phys Med 2014; 30: 782790.Google Scholar
5. Rivard, MJ, Coursey, BM, DeWerd, LA et al. Update of AAPM Task Group No. 43 Report: A revised AAPM protocol for brachytherapy dose calculations. Med Phys 2004; 31 (3): 633674.Google Scholar
6. Poon, ES. Patient-specific dose calculation methods for high-dose-rate iridium-192 brachytherapy. McGill University, Montréal, Ph.D. Thesis, 2009.Google Scholar
7. Hofbauer, J, Kirisits, C, Resch, A et al. Impact of heterogeneity-corrected dose calculation using a grid-based Boltzmann solver on breast and cervix cancer brachytherapy. J Contemp Brachytherapy 2016; 8 (2): 143149.Google Scholar
8. Mashouf, S, Lechtman, E, Lai, P et al. Dose heterogeneity correction for low-energy brachytherapy sources using dual-energy CT images. Phys Med Biol 2014; 59: 53055316.Google Scholar
9. Moura, ES, Micka, JA, Hammer, CG et al. Development of a phantom to validate high-dose-rate brachytherapy treatment planning systems with heterogeneous algorithms. Med Phys 2015; 42 (4): 15661574.Google Scholar
10. Palmer, AL, Di Pietro, P, Alobaidli, S et al. Comparison of methods for the measurement of radiation dose distributions in high dose rate (HDR) brachytherapy: Ge-doped optical fiber, EBT3 Gafchromic film, and PRESAGE® radiochromic plastic. Med Phys 2013; 40 (6): 110.Google Scholar
11. Ravikumar, B, Lakshminarayana, S. Determination of the tissue inhomogeneity correction in high dose rate Brachytherapy for Iridium-192 source. J Med Phys 2012; 37 (1): 2731.Google Scholar
12. Gholami, S, Mirzaei, HR, Jabbary Arfaee, A et al. Dose distribution verification for GYN brachytherapy using EBT Gafchromic film and TG-43 calculation. Rep Pract Oncol Radiother 2016; 21 (5): 480486.Google Scholar
13. Chiu-Tsao, ST, Medich, D, Munro, J. The use of new GAFCHROMIC EBT film for 125I seed dosimetry in Solid Water phantom. Med Phys 2008; 35 (8): 37873799.Google Scholar
14. Binger, T, Seifert, H, Blass, G, Bormann, KH, Rücker, M. Dose inhomogeneities on surfaces of different dental implants during irradiation with high-energy photons. Dentomaxillofac Radiol 2008; 37: 149153.Google Scholar
15. Engelsman, M, Damen, EMF, Koken, PW, Veld, AAV, Ingen, KMV, Mijnheer, BJ. Impact of simple tissue inhomogeneity correction algorithms on conformal radiotherapy of lung tumours. Radiother Oncol 2001; 60: 299309.Google Scholar
16. Azam, NR, Harter, KW, Thobejone, S, Bertrant, K. Air cavity effects on the radiation dose to the larynx using Co-60, 6 MV and 10 MV photon beam. Int J Radiat Oncol Biol Phys 1994; 29: 11391146.Google Scholar
17. Zabihzadeh, M, Yadollahpour, A, Kargar, L. The effects of tissue heterogeneitieson dose distribution of iridium-192 source in brachytherapy treatments. Biomed Pharmacol J 2013; 6 (2): 205213.Google Scholar
18. Terribilini, D, Manser, P, Frei, D, Volken, W, Mini, R, Fix, M. Implementation of a brachytherapy Ir-source in an in-house system and comparison of simulation results with EGSnrc, VMC++ and PIN. J Phys Conf Ser 2007; 74: 012022.Google Scholar
19. Chandola, R, Tiwari, S, Kowar, M, Choudhary, V. Effect of inhomogeneities and source position on dose distribution of nucletron high dose rate Ir-192 brachytherapy source by Monte Carlo simulation. J Cancer Res Ther 2010; 6 (1): 5457.Google Scholar
20. Graf, M, Scanderbeg, D, Yashar, C, Jiang, S. Monte Carlo dose comparison assessing material inhomogeneity effects in breast brachytherapy. Med Phys 2010; 37 (6): 1.Google Scholar