ESTIMATION OF THE X-RAYS RBE UNCERAINTY RELATED TO DETERMINATION OF ABSORBED DOSE IN RADIOBIOLOGICAL EXPERIMENTS
Abstract and keywords
Abstract (English):
Purpose: Determining the absorbed dose produced by photons, it is often assumed that it is equal to the radiation kerma. This assumption is valid only in the presence of an electronic equilibrium, which in turn is never ensured in practice. It leads to some uncertainty in determining the absorbed dose in the irradiated sample during radiobiological experiments. Therefore, it is necessary to estimate the uncertainty in determining the relative biological effectiveness of X-rays associated with uncertainty in the determination of the absorbed dose. Material and methods: The monochromatic X-ray photon emission is simulated through a standard 25 cm2 plastic flask containing 5 ml of the model culture medium (biological tissue with elemental composition C5H40O18N). The calculation of the absorbed dose in a culture medium is carried out in two ways: 1) the standard method, according to which the ratio of the absorbed dose in the medium and the ionization chamber is equal to the ratio of kerma in the medium and air; 2) determination of the absorbed dose in the medium and in the sensitive volume of the ionization chamber by computer simulation and calculating the ratio of these doses. For each primary photon energies, 108 histories are modeled, which makes it possible to achieve a statistical uncertainty not worse than 0.1 %. The energy step was 1 keV. The spectral distribution of X-ray energy is modeled separately for each set of anode materials, thickness and materials of the primary and secondary filters. The specification of the X-ray beams modeled in this work corresponds to the standards ISO 4037 and IEC 61267. Within the linear-quadratic model, the uncertainty of determining the RBEmax values is directly proportional to the uncertainty in the determination of the dose absorbed by the sample under study. Results: At energy of more than 60 keV, the ratios for water and biological tissue practically do not differ. At lower energies, up to about 20 keV, the ratio of the coefficients of air and water is slightly less than that of air and biological tissue. The maximum difference is ~ 1 % than usual and the equality of absorbed doses in the ionization chamber and sample is justified. At photon energy of 60 keV for the geometry in question, the uncertainty in determining the dose is about 50 %. For non-monochromatic radiation, the magnitude of the uncertainty is determined by the spectral composition of the radiation, since the curves vary greatly in the energy range 10–100 keV. It is shown that, depending on the spectral composition of X-ray radiation, uncertainty in the determination of the absorbed dose can reach 40–60 %. Such large uncertainty is due to the lack of electronic equilibrium in the radiation geometry used in practice. The spread of RBE values determined from the data of radiobiological experiments carried out by different authors can be determined both by differences in the experimental conditions and by uncertainty in the determination of the absorbed dose. Using Fricke dosimeters instead of ionization chambers in the same geometry allows you to reduce the uncertainty approximately 2 times, up to 10–30 %. Conclusion: The computer simulation of radiobiological experiments to determine the relative biological effectiveness of X-ray radiation is performed. The geometry of the experiments corresponds to the conditions for the use of standard bottles placed in the side holders. It is shown that the ratio of absorbed doses and kerma in the layers of biological tissue and air differ among themselves with an uncertainty up to 60 %. Depending on the quality of the beam, the true absorbed dose may differ from the one calculated on the assumption of kerma and dose equivalence by 50 %. Uncertainty in determining the RBE in these experiments is of the same order. The results are presented for X-ray beams with negligible fraction of photons with energies less than 10 keV. For beams of a different quality, the uncertainty in determination can significantly increase. For the correct evaluation of RBE, it is necessary to develop a uniform standard for carrying out radiobiological experiments. This standard should regulate both the geometry of the experiments and the conduct of dosimetric measurements.

Keywords:
relative biological effectiveness, X-rays, absorbed dose, computer simulation, radiobiological experiments
Text

Степень радиационной опасности различных видов ионизирующих излучений оценивается на основании экспериментально измеряемой величины – относительной биологической эффективности (ОБЭ). ОБЭ определяется как отношение поглощенной дозы референсного излучения, вызывающей некий определенный биологический эффект, к поглощенной дозе исследуемого излучения, приводящей к такому же эффекту. Таким образом, для определения величины ОБЭ необходимо определить поглощенную дозу непосредственно в облучаемом объекте, что является весьма сложной задачей, поскольку поглощенная доза измеряется в веществе дозиметра. Точный пересчет поглощенной дозы в веществе дозиметра к поглощенной дозе в объекте возможен только при выполнении достаточно специфических условий, которые, как правило, не выполняются на практике.

References

1. Underbink AG, Kellerer AM, Mills RE, Sparrow AH. Comparison of X-ray and Gamma-Ray Dose Response Curves for Pink Somatic Mutations in Tradescantia Clone 02. Rad. And Environm. Biophys. 1976;13:295-303.

2. Guerrero-Carbajal C, Edwards AA, Lloyd DC. Induction of chromosome aberration in human lymphocytes and its dependent on x ray energy. Radiat. Protect. Dosimetry. 2003;106(2):131-135.

3. Hoshi M, Antoku S, Nakamura N. et al. Soft X-ray dosimetry and RBE for survival of Chinese hamster V79 Cells. Int. J. Radiat. Biol. 1988;54(4):577-591.

4. Virsik RP, Harder D, Hansmann I. The RBE of 30 kV X-rays for the induction of dicentric chromosomes in human lymphocytes. Rad. and. Environm. Biophys. 1977;14:109-212.

5. Spadinger I, Palcic B. The relative biological effectiveness of 60Co γ-rays, 250 kVp X- rays, and 11 MeV electrons at low doses. Int. J. Radiat. Biol. 1992;61(3):345-353.

6. Goggelmann W, Jacobsen C, Panzer W, et al. Re-evaluation of the RBE of 29 kV x-rays (mammography x-rays) relative to 220 kV x-rays using neoplastic transformation of human CGL1-hybris cells. Radiat. Environm. Biophys. 2003;42:175-182.

7. Panteleeva A, Stonina D, Brankovic R, et al. Clonogenic survival of human keratinocytes and rodent fibroblasts after irradiation with 25 kV x-rays. Radiat. Environ. Biophys. 2003; 42:95-100.

8. Slonina D, Spekl K, Panteleeva A, et al. Induction of micronuclei in human fibroblasts and keratinocytes by 25 kV x-rays. Radiat. Environ. Biophys. 2003; 4:55-61.

9. Buermann L, Krumrey M, Haney M, Schmid E. Is there reliable experimental evidence different dicentric yields in human lymphocytes produced by mammography X-rays free-in-air and within a phantom. Radiat. Environ. Biophys. 2005;44:17-22.

10. Frankenberg-Schwager M, Garg I, Frankenberg D, et al. Mutagenicity of low-filtered 30 kVp X-rays, mammography X-rays and conventional X-rays in cultured mammalian cells. Int. J. Radiat. Biol. 2002, 72(9):781-789.

11. Belousov AV, Blizniyuk UA, Borschegovskaya PYu, Osipov AS. The Biological Effectiveness of X-Ray Radiation. Moscow University Physics Bulletin. 2014;(2):157-161. (In Russ.).

12. The RD44 Collaboration. CERN/LHCC 98-44, LCB Status Report, 30 November 1998.

13. Pia M.G. The GEANT4 object oriented simulation toolkit. Proc. of the EPS-HEP99 Conference, Tampere, 1999.

14. Apostolakis J, Giani S, Maire M, et al. GEANT4 low energy electromagnetic models for electrons and photons. CERN-OPEN-99-034,1999, IFN/AE-99/18, 1999.

15. Larsson S, Svensson R, Gudowska I, et al. Radiation transport calculation for 50 MV photon therapy beam using the Monte Carlo code GEANT4. Radiat. Protect. Dosimetry. 2005;115 (1-4):503-507.

16. Poon E, Veerhagen F. Accuracy of the photon and electron physics in GEANT4 for radiotherapy applications. Med. Phys. 2005;32:1696-1711.

17. Faddegon BA, Asai M, Perl J, et al. Benchmarking of Monte Carlo simulation of bremsstrahlung from thick targets at radiotherapy energies. Med. Phys. 2008;35:4308-4317.

18. Faddegon BA, Perl J, Asai M. Monte Carlo simulation of large electron fields. Phys. Med. Biol. 2008;53:1497-1510.

19. Faddegon BA, Kawrakov I, Kubishin Y, et al. The accuracy of EGSnrc, GEANT4 and PENELOPE Monte Carlo systems for the simulation of electron scatter in external beam radiotherapy. Phys. Med. Biol. 2009;54(20):6151-6163.

20. Cirrone GAP, Cuttone G, Di Rosa F, et al. Validation of the GEANT4 electromagnetic photon cross-section for elements and compounds. Nucl. Instrum. Meth. in Phys. Res. Section A. 2010;618:315-322.

21. Lechner A, Ivanchenko VN, Knobloch J.Validation of recent GEANT4 physics models for application in carbon ion therapy. Nucl. Instrum. Meth. in Phys. Res. Section B. 2010;268: 2343-2354.

22. ICRP, 2007. The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Ann. ICRP 37 (2-4).

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