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The effect of the different uncertainty models in dose expected volume histogram computation

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Abstract

Dose expected volume histograms are a useful alternative to dose volume histograms in order to take into account computation uncertainty when prescribing, planning and reporting external beam radiation therapy. Due to the type B nature of computation uncertainties, a rectangular probability distribution was assumed in its definition. In the present work, the changes of dose expected volume histograms when using other recommended point dose uncertainty models are investigated. Results show that the choice of probability distribution, among the ones recommended for uncertainty modelling, has a small effect on the result. Thus, the standard uncertainty of point dose computations is the main parameter affecting dose expected volume histograms.

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References

  1. International Commission on Radiation Units and Measurements. ICRU Report No. 50.Prescribing, recording, reporting, photon beam therapy. Washington, DC. 1994.

  2. International Commission on Radiation Units and Measurements. ICRU Report No. 62.Prescribing, Recording and Reporting Photon Beam Therapy (Supplement to ICRU Report 50). Washington, DC. 1999.

  3. Lefkopoulos, D., Ferreira, I., Isambert, A. et al.Présent et avenir de la radiothérapie guidée par l’image (IGRT) et ses applications posibles dans le traitement des cancers bronchides. Cancer Radiothérapie 11. 23–31. 2007.

    CAS  PubMed  Google Scholar 

  4. Cho, B.C.J., van Herk, M., Mijnheer, B.J., et al,The effect of set-up uncertainties, contour changes, and tissue inhomogeneities on target dose-volume histograms. Med. Phys., 29 (10), 2305–2318, 2002.

    Article  PubMed  Google Scholar 

  5. Intensity Modulated Radiation Therapy Collaborative Working Group.Intensity-modulated radiotherapy: current status and issues of interest. Int. J. Radiat. Oncol. 51 880–914. 2001.

    Article  Google Scholar 

  6. Ezzell, G.A., Galvin, J.M., Low, D. et al.Guidance document on delivery, treatment planning, and clinical implementation of IMRT: Report of the IMRT subcommittee of the AAPM radiation therapy committee. Med. Phys. Vol. 30, Issue 8. 2089–2115. 2003.

    Article  PubMed  Google Scholar 

  7. Venselaar, J., Welleweerd, H., Mijnheer, B.Tolerances for the accuracy of photon beam dose calculations of treatment planning systems. Radiot. Oncol. 60. 191–201. 2001.

    Article  CAS  Google Scholar 

  8. Venselaar, J., Welleweerd, H.Application of a test package in an intercomparison of the photon dose calculation performance of treatment planning systems used in a clinical setting. Radiot. Oncol. 60. 203–213. 2001.

    Article  CAS  Google Scholar 

  9. Cutanda Henríquez, F, Vargas Castrillón, S.A novel method for the evaluation of uncertainty in dose volume histogram computation. Int. J. Radiat. Oncol. Biol. Phys. 70 (4). 1263-1271. 2008.

    Google Scholar 

  10. IAEA. Technical Reports Series no. 430.Commisioning and Quality Assurance of Computerized Planning Systems for Radiation Treatment of Cancer. International Atomic Energy Agency. Vienna. 2004.

  11. International Standards Organization.Guide to the Expression of Uncertainty in Measurement. Geneva. 1995.

  12. Andreo, P., Burns, D.T., Hohlfeld, K. et al.Absorbed dose determination in external beam radiotherapy: an international Code of Practice for dosimetry based on standards of absorbed dose to water. IAEA Technical Report Series No. 398. International Atomic Energy Agency. Vienna. 2000.

  13. Shaw, J.E. IPEMB Report 68.A guide to commissioning and quality control of treatment planning systems. Institute of Physics and Engineering in Medicine and Biology. York. 1994.

  14. Born, E., Fogliatta-Cozzi, A., Ionescu, F. et al.Quality Control of Treatment Planning Systems for Teletherapy. Swiss Society for Radiobiology and Medical Physics. Recommendations no. 7. 1997.

  15. Panitsa, E., Rosenwald, J-C., Kappas, C.Quality Control of Dose Volume Histogram Computation Characteristics of 3D Treatment Planning Systems. Phys. Med. Biol. 43 2807–2816. 1998.

    Article  CAS  PubMed  Google Scholar 

  16. Fraass, B, Doppke, K., Hunt, M., et al,American Association of Physicists in Medicine Radiation Therapy Committee Task Group 53: Quality assurance for clinical radiotherapy treatment planning. Med. Phys. 25 (10). 1773–1829. 1998.

    Article  CAS  PubMed  Google Scholar 

  17. Mayles, W.P.M., Lake, R., McKenzie, A., et al.Physics aspects of quality control in radiotherapy. IPEM Report No.81. The Institute of Physics and Engineering in Medicine, York, Great Britain, 1999.

    Google Scholar 

  18. Mijnheer, B., Olszewska, A., Fiorino, C. et al.Quality Assurance of Treatment Planning Systems. Practical Examples for Non-IMRT Photon Beams. ESTRO Physics booklet no. 7. European Society for Therapeutic Radiation Oncology. 2004.

  19. Nederlandse Commissie voor Stralingsdosimetrie. Report 15.Quality assurance of 3-D treatment planning systems for external photon and electron beams. Practical guidelines for acceptance testing, commissioning and periodic quality control of radiation therapy treatment planning systems. NCS. 2006.

  20. Van Dyk, J., Barnett, R.B., Cygler, J.E. et al.Commissioning and quality assurance of treatment planning computers. Int. J. Radiat. Oncol. Biol. Phys. 26(2). 261–273. 1993.

    PubMed  Google Scholar 

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Correspondence to F. Cutanda Henríquez.

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Henríquez, F.C., Castrillón, S.V. The effect of the different uncertainty models in dose expected volume histogram computation. Australas. Phys. Eng. Sci. Med. 31, 196–202 (2008). https://doi.org/10.1007/BF03179344

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  • DOI: https://doi.org/10.1007/BF03179344

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