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Dependence of tissue inhomogeneity correction factors on photon-beam energy


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1. Papanikolaou, N., Battista, J. J., Boyer, A. L., Kappas, C., Klein, E., Mackie, T. R., Sharpe, M., & Van Dyk, J. (2004). Tissue inhomogeneity corrections for megavoltage photon beams. Madison WI: Medical Physics Publishing. (AAPM Report No. 85).10.37206/86Search in Google Scholar

2. Das, I. J., Ding, G. X., & Ahnesjö, A. (2008). Small fi elds: Non-equilibrium radiation dosimetry. Med. Phys., 35(1), 206-215. DOI: 10.1118/1.2815356.10.1118/1.281535618293576Open DOISearch in Google Scholar

3. Robinson, D. (2008). Inhomogeneity correction and the analytic anisotropic algorithm. J. Appl. Clin. Med. Phys., 9(2), 112-122.10.1120/jacmp.v9i2.2786572171018714283Open DOISearch in Google Scholar

4. Ding, W., Johnston, P. N., Wong, T. P. Y., & Bubb, I. F. (2004). Investigation of photon beam models in heterogeneous media of modern radiotherapy. Australas Phys. Eng. Sci., 27, 39-48. DOI: 10.1007/ BF03178375.10.1007/BF0317837515462585Open DOISearch in Google Scholar

5. Carrasco, P., Jornet, N., Duch, M., Weber, L., Ginjaume, M., Endaldo, T., Jurado, D., Ruiz, A., & Ribas, M. (2004). Comparison of dose calculation algorithms in phantoms with lung equivalent heterogeneities under conditions of lateral electronic disequilibrium. Med. Phys., 31, 2899-2911. DOI: 10.1118/1.1788932.10.1118/1.178893215543799Open DOISearch in Google Scholar

6. Krieger, T., & Sauer, O. A. (2005). Monte Carlo versus pencil-beam-/collapsed-cone-dose calculation in a heterogeneous multi-layer phantom. Phys. Med. Biol., 50(5), 859-868. DOI: 10.1088/0031-9155/50/5/010.10.1088/0031-9155/50/5/01015798260Open DOISearch in Google Scholar

7. Van Esch, A., Tillikainen, L., Pyykkonen, J., Tenhunen, M., Helminen, H., Siljamaki, S., Alakuijala, J., Paiusco, M., Iori, M., & Huyskens, D. (2006). Testing of the analytical anisotropic algorithm for photon dose calculation. Med. Phys., 33(11), 4130-4148. DOI: 10.1118/1.2358333.10.1118/1.235833317153392Open DOISearch in Google Scholar

8. Dobler, B., Walter, C., Knopf, A., Fabri, D., Loeschel, R., Polednik, M., Schneider, F., Wenz, F., & Lohr, F. (2006). Optimization of extracranial stereotactic radiation therapy of small lung lesions using accurate dose calculation algorithms. Radiat. Oncol., 1, 45(11pp.). DOI: 10.1186/1748-717X-1-45.10.1186/1748-717X-1-45176938717132177Search in Google Scholar

9. Vanderstraeten, B., Reynaert, N., Paelinck, L., Madani, I., De Wagter, C., De Gersem, W., De Neve, W., & Thierens, H. (2006). Accuracy of patient dose calculation for lung IMRT: A comparison of Monte Carlo, convolution/superposition and pencil beam computations. Med. Phys., 33(9), 3149-3158. DOI: 10.1118/1.2241992.10.1118/1.224199217022207Open DOISearch in Google Scholar

10. Gray, A., Oliver, L. D., & Johnston, P. N. (2009). The accuracy of the pencil beam convolution and anisotropic analytical algorithms in predicting the dose effects due to attenuation from immobilization devices large air gaps. Med. Phys., 36(7), 3181-3191. DOI: 10.1118/1.3147204.10.1118/1.314720419673217Search in Google Scholar

11. Rana, S., Rogers, K., Lee, T., Reed, D., & Biggs, C. (2013). Verifi cation and dosimetric impact of Acuros XB algorithm for stereotactic body radiation therapy (SBRT) and RapidArc planning for non-small-cell lung (NSCLC) patients. Int. J. Med. Phys. Clin. Eng. Radiat. Oncol., 2(1), 6-14. DOI: 10.4236/ ijmpcero.2013.21002.10.4236/ijmpcero.2013.21002Open DOISearch in Google Scholar

12. Han, T., Mourtada, F., Kisling, K., Mikell, J., Followill, D., & Howell, R. (2012). Experimental validation of deterministic Acuros XB algorithm for IMRT and VMAT dose calculations with the Radiological Physics Center’s head and neck phantom. Med. Phys., 39(4), 2193-2202. DOI: 10.1118/1.3692180.10.1118/1.3692180Open DOISearch in Google Scholar

13. Rana, S., & Rogers, K. (2013). Dosimetric evaluation of Acuros XB dose calculation algorithm with measurements in ness for smaller and larger fi eld sizes. Med. Phys., 38, 9-14.10.4103/0971-6203.106600Open DOISearch in Google Scholar

14. Stephen, O. (2013). Dose prediction accuracy of collapsed cone convolution superposition algorithm in a multi-layer inhomogenous phantom. Int. J. Cancer Ther. Oncol., 1(1), 01016(4pp.). DOI: 10.14319/ijcto.0101.6.10.14319/ijcto.0101.6Open DOISearch in Google Scholar

15. El-Khatib, E. E., Evans, M., Pla, M., & Cunningham, J. R. (1989). Evaluation of lung dose correction methods for photon irradiations of thorax phantoms. Int. J. Radiat. Oncol. Biol. Phys., 17, 871-878.10.1016/0360-3016(89)90081-3Open DOISearch in Google Scholar

16. Orton, C. G., Chungbin, S., & Klein, E. E., Gillin, M. T., Schultheiss, T. E., & Sanse, W. T. (1998). Study of lung density corrections in a clinical trial (RTOG 88-08). Radiation Therapy Oncology Group. Int. J. Radiat. Oncol. Biol. Phys., 41(4), 787-794. DOI: 10.1016/S0360-3016(98)00117-5.10.1016/S0360-3016(98)00117-5Search in Google Scholar

17. Batho, H. F. (1964). Lung corrections in cobalt 60 beam therapy. J. Can. Assoc. Radiol., 15, 79-83.Search in Google Scholar

18. Gerbi, B. J. (1991). A mathematical expression for %DD accurate from Co-60 to 24 MV. Med. Phys. , 18(4), 724-726. DOI: 10.1118/1.596666.10.1118/1.596666Open DOISearch in Google Scholar

19. Li, X. A. (1999). Peak scatter factors for high-energy photon beams. Med. Phys., 26(6), 962-966. DOI: 10.1118/1.598489.10.1118/1.598489Open DOISearch in Google Scholar

20. ICRU. (1987). Use of computers in external beam radiotherapy procedures with high-energy photons and electrons. Maryland: ICRU Publications. (ICRU Report No. 42).Search in Google Scholar

21. Ekstrand, K. E., & Barnes, W. H. (1990). Pitfalls in the use of high energy X rays to treat tumors in the lung. Int. J. Radiat. Oncol. Biol. Phys., 18(1), 249-252.10.1016/0360-3016(90)90290-ZOpen DOISearch in Google Scholar

22. Hunt, M. A., Desobry, G. E., Fowble, B., & Coia, L. R. (1997). Effect of low-density lateral interfaces on soft-tissue doses. Int. J. Radiat. Oncol. Biol. Phys., 37(2), 475-482.10.1016/S0360-3016(96)00499-3Open DOISearch in Google Scholar

23. Kornelsen, R. O., & Young, M. E. (1982). Changes in the dose-profi le of a 10 MV x-ray beam within and beyond low-density material. Med. Phys., 9, 114-116. DOI: 10.1118/1.595059.10.1118/1.595059Search in Google Scholar

24. Rice, R. K., Mijnheer, B. J., & Chin, L. M. (1988). Benchmark measurements for lung dose corrections for X-ray beams. Int. J. Radiat. Oncol. Biol. Phys., 15(2), 399-409. DOI: 10.1016/S0360- 3016(98)90022-0.10.1016/S0360-3016(98)90022-0Open DOISearch in Google Scholar

25. Yorke, E., Harisiadis, L., Wessels, B., Aghdam, H., & Altemus, R. (1996). Dosimetric considerations in radiation therapy of coin lesions of the lung. Int. J. Radiat. Oncol. Biol. Phys., 34(2), 481-487.10.1016/0360-3016(95)02036-5Open DOISearch in Google Scholar

26. Young, M. E., & Kornelsen, R. O. (1983). Dose corrections for low-density tissue inhomogeneities and air channels for 10-MV x rays. Med. Phys., 10, 450-455.10.1118/1.5953926888356Search in Google Scholar

27. Lulu, B. A., & Bjärngard, B. E. (1982). A derivation of Batho’s correction factor for heterogeneities. Med. Phys., 9, 907-909. DOI: 10.1118/1.595201.10.1118/1.5952017162477Open DOISearch in Google Scholar

28. El-Khatib, E., & Battista, J. J. (1984). Improved lung dose calculation using tissue-maximum ratios in the Batho correction. Med. Phys., 11(3), 279-286. DOI: 10.1118/1.595495.10.1118/1.5954956429498Open DOISearch in Google Scholar

29. du Plessis, F. C. P., Willemse, C. A., Lötter, M. G., & Goedhals, L. (2001). Comparison of the Batho, ETAR and Monte Carlo dose calculation methods in CT based patient models. Med. Phys., 28(4), 582-589. DOI: 10.1118/1.1357223.10.1118/1.135722311339755Open DOISearch in Google Scholar

30. Sontag, M. R., & Cunningham, J. R. (1977). Corrections to absorbed dose calculations for tissue inhomogeneities. Med. Phys., 4(5), 431-436. DOI: 10.1118/1.59432930.10.1118/1.59432930Open DOISearch in Google Scholar

31. Wong, J. W., & Henkelman, R. M. (1982). Reconsideration of the power-law (Batho) equation for inhomogeneity corrections. Med. Phys., 9(4), 421-430. DOI: 10.1118/1.595098.10.1118/1.5950987110083Open DOISearch in Google Scholar

32. Lulu, B. A., & Bjärngard, B. E. (1982). Batho’s correction factor combined with scatter summation. Med. Phys., 9(3), 372-377. DOI: 10.1118/1.595174.10.1118/1.5951747110065Open DOISearch in Google Scholar

33. Wong, J. W., & Purdy, J. A. (1990). On methods of inhomogeneity corrections for photon transport. Med. Phys., 17(5), 807-814. DOI: 10.1118/1.596555.10.1118/1.5965552233566Open DOISearch in Google Scholar

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