[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.]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[16. Podgorsak EB. Radiation Oncology Physics: a handbook for teachers and students. International Atomic Energy Commission (IAEA), Vienna; 2005.]Search in Google Scholar
[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.]Search in Google Scholar
[18. ICRU. ICRU Report No. 42: Use of computers in external beam radiotherapy procedures with high-energy photons and electrons. Maryland, USA; 1987.]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar
[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]Search in Google Scholar