Quality control of radiotherapy treatment plans with electrons

Authors

  • Luciana Tourinho Campos Universidade do Estado do Rio Janeiro
  • Luiz Ribeiro da Rosa Instituto de Radioproteção e Dosimetria – IRD/CNEN, Rio de Janeiro- RJ, Brazil
  • Delano Valdivino Batista Instituto de Radioproteção e Dosimetria – IRD/CNEN, Rio de Janeiro- RJ, Brazil
  • Delson Braz laboratório de Instrumentação Nuclear – COPPE/UFRJ, Rio de Janeiro- RJ, Brazil

DOI:

https://doi.org/10.15392/bjrs.v7i1.785

Keywords:

radiotherapy, Monte Carlo dosimetry, EGSnrc.

Abstract

In this work the quality of the treatment planning generated by EclipseÒ commercial treatment planning system for electron beams of energy 9 and 20 MeV was verified and their accuracy in the calculation of dose distributions for several clinical situations was evaluated. Tests cases had been developed according to the Brazilian reality, having as reference the radiotherapy treatments carried out in the National Institute of the Cancer.The system developed for checking the quality of treatment planning systems with electrons was efficient in evaluating the Eclipse planning system by identifying the failures of their algorithms, especially in planning the isodose. The verification system has been validated against the Monte Carlo method and the experimental data with an ionization chamber and showed the shortcomings of generalized pencil beam and eMC algorithms.

Downloads

Download data is not yet available.

Author Biographies

Luciana Tourinho Campos, Universidade do Estado do Rio Janeiro

Departamento de Física Aplicada e Termodinâmica – DFAT/UERJ, Rio de Janeiro- RJ, Brazil

Luiz Ribeiro da Rosa, Instituto de Radioproteção e Dosimetria – IRD/CNEN, Rio de Janeiro- RJ, Brazil

Fisica Medica

Delano Valdivino Batista, Instituto de Radioproteção e Dosimetria – IRD/CNEN, Rio de Janeiro- RJ, Brazil

Fisica Medica

Delson Braz, laboratório de Instrumentação Nuclear – COPPE/UFRJ, Rio de Janeiro- RJ, Brazil

Programa de Energia Nuclear

References

HOSTROM, K.R.; ALMOND, P.R. Review of electron beam therapy physics. Phys. Med. Biol. 2006;51:R455-89.

OJALA, J.; KAPANEN, M.; HYÖDYNMA, S. Full Monte Carlo and measurement-based performance assessment of improved clinical implementation of eMC algorithm with emphasis on lower energy range. Physica Medica. 2016; (32) 801-811.

CHETTY, I.J; CURRAN,B.; CYGLER, J.; DEMARCO,J.J.; EZZELL, G.; FADDEGON, B.A. et al. Report AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based-photon and electron external beam treatment planning. Med Phys. 2007; 34:4818-53.

SHEIKH-BAGHERI, D.; KAWRAKOW,I.; WALTERS, B.; ROGERS,D.W.O. Monte Carlo simulations: Efficiency Improvement Techniques and Statistical Considerations, Published in: Integrating New Technologies into the Clinic: Monte Carlo and Image-Guided Radiation Therapy, Proceeding 2006 AAPM Summer School. Madison WI. Medical Physics Publishing; 2006.

JANSEN, J.J.; KOREVAAR, E.W.; VAN BUTTUM, L.J.; STORCHI, P.R.; HUIZENGA, H. A model to determine the initial phase space of a clinical electron electron beam from measured data. Phys. Med. Biol. 2001;46(2):269-86.

DING, G.X.; DUGGAN, D.M.; LU, B. et al. Impact of inhomogeneity corrections on dose coverage in the treatment of lung cancer using stereotactic body radiation therapy. Med Phys 2007; 34:2985-94.

NEUENSCHWANDER, H., MACKIE,T.R.; RECKWERDT, P.J. MMC – a high performance Monte Carlo code for electron beam treatment planning. Phys Med Biol. 1995;40(4):543-74.

FRAGOSO, M.; PILLAI, S.; SOLBERG, T.D.; CHETTY, I.J. Experimental verification and clinical implementation of a commercial Monte carlo electron beam dose calculation algorithm. Med Phys. 2008; 35(3):1028-38.

NEUENSCHWANDER, H.; BORN, E.J. A macro Monte Carlo method for electron beam dose calculations. Phys Med Biol. 1992;37:107-25.

Eclipse Planning Reference Guide Algorithms P/N B401653R01I;2004.

DING, G.X.; DUGGAN, D.M.; COFFEY, C.W.; SHOKRANI, P.; CYGLER, J. First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning – new issues for clinical consideration. Phys. Med Biol. 2006;51:2781-99.

POPPLE, R.A; WEINBER, R.; ANTOLAK, J.A.; YE, D.J.; PAREEK, P.N.; DUAN, J. et al. Comprehensive evaluation of a commercial macro Monte Carlo electron dose calculation implementation using a satandard verification data set. Med. Phys. 2006;33:1540-51.

FORTES, S.S. Algoritmo para o Cálculo de Feixes Clínicos de Elétrons eMC: Comissionamento e Avaliação, Trabalho de Conclusão de Curso, Instituto Nacional do Câncer, 2009.

User Manual VerisoftTM, PTW Freiburg, Germany, 2006.

ICRU (International Comission on Radiation Units and Measurements), Report 44, Tissue Substitutes in Radiation Dosimetry and Measurement, ICRU Publications, Washington DC, 1989.

ROGERS, D.W.O.; FADDEGON, B.A.; DING, G.; MA, C.M.; WE, J.; MACKIE, T.R. BEAM:a Monte Carlo simulate radiotherapy treatment units. Med. Phys. 1995, 22 503-524.

KAWRAKOW I, ROGERS DWO, WALTERS B. BEAMnrc User’s Manual. Technical Report PIRS-509, 2013. National Research Council of Canada, Ottawa, Canada.

KAWRAKOW,I.; ROGERS, D.W.O.; WALTERS, B. DOSXYZnrc Users Manual, Technical Report PIRS-794, 2005. National Research Council of Canada, Ottawa, Canada.

SEGO Z. Multiple-source models for the beams from an Elekta SL25 clinical accelerator. 2006. Master Thesis, Ottawa-Carleton Institute of Physics.

MCGOWAN, H.C.E.; FADDEGON, B.A.; MA C-M. STATDOSE for 3D distributions. PIRS-509(F), 2013. National Research Council of Canada, Ottawa, Canada.

Downloads

Published

2019-01-28

How to Cite

Campos, L. T., da Rosa, L. R., Batista, D. V., & Braz, D. (2019). Quality control of radiotherapy treatment plans with electrons. Brazilian Journal of Radiation Sciences, 7(1). https://doi.org/10.15392/bjrs.v7i1.785

Issue

Section

Articles

Similar Articles

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)