Stereotactic radiotherapy for patients with metallic implants on vertebral body: A dosimetric comparison

Main Article Content

Yasemin Guzle Adas
Omer Yazici
Esra Kekilli
Ferat Kiran

Abstract

Objective: Metallic implants have impacts on dose distribution of radiotherapy. Our purpose is evaluating impact of metallic implants with different dose calculation algorithms on dose distribution.


Material and Methods: Two patients with metallic implants on vertebral body were included in this study. They were treated with stereotactic radiotherapy. The data of the patients were retrospectively re-calculated with different TPSs and calculation algorithms. Ray-Tracing (Ry-Tc), Monte-Carlo (MC), Acuros XB (AXB) and analytical anisotropic algorithms (AAA) were compared.


Results: Ry-Tc, AAA and AXB underestimated minimum and maximum doses of target volumes and critical organs compared with MC.


Conclusion: MC seems more reliable for dose calculations in patients with metallic implants but more studies with more number of patients should be done to identify the best dose calculation algorithm for patients with metallic implants.

Downloads

Download data is not yet available.

Article Details

How to Cite
Yasemin Guzle Adas, Omer Yazici, Esra Kekilli, & Ferat Kiran. (2018). Stereotactic radiotherapy for patients with metallic implants on vertebral body: A dosimetric comparison. Medical Science and Discovery, 5(3), 161–165. Retrieved from https://medscidiscovery.com/index.php/msd/article/view/229
Section
Research Article

References

1. Ding GX, Duggan DM, Lu B, Hallahan DE, Cmelak A, Malcolm A, et al. Impact of inhomogeneity corrections on dose coverage in the treatment of lung cancer using stereotactic body radiation therapy. Med Phys. 2007;34(7):2985-2994.
2. Das IJ, Ding GX, Ahnesjo¨ A. Small fields: nonequilibrium radiation dosimetry. Med Phys. 2008;35(1):206-215.
3. Wilcox EE, Daskalov GM, Lincoln H, Shumway RC, Kaplan BM, Colasanto JM. Comparison of planned dose distributions calculatedby Monte Carlo and Ray-Trace algorithms for the treatment of lung tumors with cyberknife: a preliminary study in 33 patients. Int J Radiat Oncol Biol Phys. 2010;77(1):277-284.
4. Roberts, R. How accurate is a CT-based dose calculation on a pencil beam TPS for a patient with a metallic prosthesis? Phys. Med. Biol.2001; 46: N227–34.
5. Han T, Mikell JK, Salehpour M, Mourtada F. Dosimetric comparison ofAcuros XB deterministic radiation transport method with Monte Carlo and model-based convolution methods in heterogeneous media. Med Phys. 2011; 38:2651–64.
6. Bush K, Gagne IM, Zavgorodni S, Ansbacher W, Beckham W. Dosimetric validation of Acuros XB with Monte Carlo methods for photon dose calculations. Med Phys. 2011; 38:2208–21.
7. Han T, Followill D, Mikell J, Repchak R, Molineu A, Howell R et al. Dosimetric impact of AcurosXB deterministic radiation transport algorithm for heterogeneous dose calculation in lung cancer. Med Phys. 2013; 40:51710–21.
8. Mißlbeck M, Kneschaurek P. Comparison between Acuros XB and Brainlab Monte Carlo algorithms for photon dose calculation. Strahlenther Onkol. 2012; 188:599–605.
9. Timmerman RD. An overview of hypofractionation and introduction to this issue of seminars in radiation oncology. Semin Radiat Oncol. 2008;18(4):215–22
10. Newhauser, W.D. Giebeler, A. Langen, K.M. Mirkovic D, Mohan R. Can megavoltage computed tomography reduce proton range uncertainties in treatment plans for patientswith large metal implants? Phys. Med. Biol.2008; 53:2327–44.
11. Roberts, R. How accurate is a CT-based dose calculation on a pencil beam TPS for a patient with a metallic prosthesis? Phys. Med. Biol.2001; 46:227–34.
12. Ojala JJ1, Kapanen M., Quantification of dose differences between two versions of Acuros XB algorithm compared to Monte Carlo simulations - the effect on clinical patient treatment planning. J Appl Clin Med Phys. 2015; 16(6):5642.
13. Moskvin V Cheng CW, Fanelli L, Zhao L, Das IJ. A semi-empirical model for the therapeutic range shift estima¬tion caused by inhomogeneities in proton beam therapy. J Appl Clin Med Phys. 2012;13(2):3631
14. Xiao Y, Papiez L, Paulus R, Timmerman R, Straube W L, Bosch W R, Michalski J and Galvin J M. Dosimetric evaluation of heterogeneity corrections for RTOG 0236: stereotactic body radiotherapy of inoperable stage I-II non–small-cell lung cancer Int. J. Radiat. Oncol. Biol. Phys.2009; 73 1235–42
15. Wu VW, Tam KW, Tong SM. Evaluation of the influence of tumor location and size on the difference of dose calcula¬tion between Ray Tracing algorithm and Fast Monte Carlo algorithm in stereotactic body radiotherapy of non-small cell lung cancer using CyberKnife. J Appl Clin Med Phys. 2013; 14:68–78.