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The dependence of inhomogeneity correction factors on photon beam quality index performed with the Anisotropic Analytical Algorithm Cover

The dependence of inhomogeneity correction factors on photon beam quality index performed with the Anisotropic Analytical Algorithm

Open Access
|Sep 2020

References

  1. 1. Technical Report Series (TRS) No. 430, Commissioning and Quality Assurance of Computerized Planning Systems for Radiation Treatment of Cancer. International Atomic Energy Agency (IAEA); 2004.
  2. 2. Papanikolaou N, Battista JJ, Boyer AL, et al. Report of the AAPM Task Group No. 85: Tissue inhomogeneity corrections for megavoltage photon beams. Madison WI: Medical Physics Publishing; 2004.10.37206/86
  3. 3. Robinson D. Inhomogeneity correction and the analytic anisotropic algorithm. J Appl Clin Med Phys. 2008;9(2):112-122. doi: 10.1120/jacmp. v9i2.2786.10.1120/jacmp.v9i2.2786
  4. 4. Ding W, Johnston PN, Wong TPY, Bubb IF. Investigation of photon beam models in heterogeneous media of modern radiotherapy. Australas Phys Eng Sci. 2004;27:39-48. doiOI: 10.1007/BF0317837510.1007/BF03178375
  5. 5. Carrasco P, Jornet N, Duch M, et al. Comparison of dose calculation algorithms in phantoms with lung equivalent heterogeneities under conditions of lateral electronic disequilibrium. Med Phys. 2004;31:2899-2911. doi: 10.1118/1.178893210.1118/1.1788932
  6. 6. Krieger T, Sauer OA. Monte Carlo versus pencil-beam-/collapsed-cone-dose calculation in a heterogeneous multi-layer phantom. Phys Med Biol. 2005;50(5):859-868. doi: 10.1088/0031-9155/50/5/01010.1088/0031-9155/50/5/010
  7. 7. Van Esch A, Tillikainen L, Pyykkonen, et al. Testing of the analytical anisotropic algorithm for photon dose calculation. Med Phys. 2006;33(11):4130-4148. doi: 10.1118/1.235833310.1118/1.2358333
  8. 8. Oyewale S. Dose prediction accuracy of collapsed cone convolution superposition algorithm in a multi-layer inhomogenous phantom. Int J Cancer Ther Oncol. 2013;1(1). doi: 10.14319/ijcto.0101.610.14319/ijcto.0101.6
  9. 9. Hunt MA, Desobry GE, Fowble B, Coia LR. Effect of low-density lateral interfaces on soft-tissue doses. Int J Radiat Oncol Phys. 1997;37(2):475-482.10.1016/S0360-3016(96)00499-3
  10. 10. Stathakis S, Kappas C, Theodorou K, et al. An inhomogeneity correction algorithm for irregular fields of high-energy photon beams based on Clarkson integration and the 3D beam subtraction method. J Appl Clin Med Phys. 2006;7(1):1-13.10.1120/jacmp.v7i1.2042
  11. 11. Ono K, Endo S, Tanaka K, et al. Dosimetric verification of the anisotropic analytical algorithm in lung equivalent heterogeneities with and without bone equivalent heterogeneities. Med Phys. 2010;37(8):4456-4463.10.1118/1.3464748
  12. 12. el-Khatib EE, Evans M, Pla M, Cunningham JR. Evaluation of lung dose correction methods for photon irradiations of thorax phantoms. Int J Radiat Oncol Biol Phys. 1989;17:871-878.10.1016/0360-3016(89)90081-3
  13. 13. Orton CG, Chungbin S, Klein EE, et al. Study of lung density corrections in a clinical trial (RTOG 88-08). Radiation Therapy Oncology Group. Int J Radiat Oncol Biol Phys. 1989;41(4):787-794. doi: 10.1016/S0360-3016(98)00117-510.1016/S0360-3016(98)00117-5
  14. 14. Akhtaruzzaman M, Kukolowicz P. Dependence of Tissue Inhomogeneity Correction Factors on Nominal Photon Beam Energy. NUKLEONIKA. 2018;63(1):3-7. doi: 10.1515/nuka-2018-000110.1515/nuka-2018-0001
  15. 15. Gerbi BJ. A mathematical expression for %DD accurate from Co-60 to 24 MV. Med Phys. 1991;18(4):724-726. doi: 10.1118/1.59666610.1118/1.596666
  16. 16. Podgorsak EB. Radiation Oncology Physics: a handbook for teachers and students. International Atomic Energy Commission (IAEA), Vienna; 2005.
  17. 17. Technical Report Series (TRS) No. 398. Absorbed Dose Determination in External Beam Radiotherapy. International Code of Practice for Dosimetry Based on Standards of Absorbed dose to Water. International Atomic Energy Agency (IAEA); 2000.
  18. 18. ICRU. ICRU Report No. 42: Use of computers in external beam radiotherapy procedures with high-energy photons and electrons. Maryland, USA; 1987.
  19. 19. Ekstrand KE, Barnes WH. Pitfalls in the use of high energy X rays to treat tumors in the lung. Int J Radiat Oncol Biol Phys. 1990;8(1):249-252.10.1016/0360-3016(90)90290-Z
  20. 20. Hunt MA, Desobry GE, Fowble B, Coia LR. Effect of low-density lateral interfaces on soft-tissue doses. Int J Radiat Oncol Biol Phys. 1997;37(2):475-482.10.1016/S0360-3016(96)00499-3
  21. 21. Kornelsen RO, Young ME. Changes in the dose-profile of a 10 MV x-ray beam within and beyond low-density material. Med Phys. 1982;9:114-116. doi: 10.1118/1.59505910.1118/1.595059
  22. 22. Rice RK, Mijnheer BJ, Chin LM. Benchmark measurements for lung dose corrections for X-ray beams. Int J Radiat Oncol Biol Phys. 1988;15(2);399-409. doi: 10.1016/S0360-3016(98)90022-010.1016/S0360-3016(98)90022-0
  23. 23. Yorke E, Harisiadis L, Wessels B, et al. Dosimetric considerations in radiation therapy of coin lesions of the lung. Int J Radiat Oncol Biol Phys. 1996;34(2):481–487.10.1016/0360-3016(95)02036-5
  24. 24. Young ME, Kornelsen RO. Dose corrections for low-density tissue inhomogeneities and air channels for 10-MV x rays. Med Phys. 1983;10:450-455.10.1118/1.5953926888356
  25. 25. Van Esch A, Tillikainen L, Pyykkonen J, et al. Testing of the analytical anisotropic algorithm for photon dose calculation. Med Phys. 2006;33(11):4130-4148.10.1118/1.235833317153392
DOI: https://doi.org/10.2478/pjmpe-2020-0014 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
Language: English
Page range: 127 - 134
Submitted on: Apr 11, 2020
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Accepted on: Jun 10, 2020
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Published on: Sep 29, 2020
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Md Akhtaruzzaman, Paweł Kukołowicz, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.