Investigation of The Effect of Intermediate Dose Calculation Module on Dose Dıstrıbutıon in Lung Cancer Radiotherapy Patients

Abstract

The aim of this study was to investigate the effect of the use of intermediate dose calculation module on dose volume histogram (DVH) during dose optimization in the treatment plans of radiotherapy patients diagnosed with lung cancer.

This study was carried out by using Eclipse (Version 15.3) treatment planning system with Trilogy model Linear Accelerator device in Radiation Oncology Department of Şişli Hamidiye Etfal Training and Research Hospital. Ten patients with lung cancer were included in the study. In this study, critical organ doses, conformity index (CI) and homogenity index (HI) were compared by making optimization in cases where intermediate dose calculation module was active and inactive.

The plans using the Intermediate dose calculation model are more homogeneous and uniform. Differences between critical organ doses, conformity index (CI) and homogenity index (HI) were statistically significant when using the Intermediate dose calculation module.

It has been demonstrated that the intermediate dose calculation method in heterogeneous lung cancer patients is superior in terms of dose homogeneity and tumor volume enveloping, which improves the quality of treatment plans.

Keywords

• Lung Cancer,IMRT,Intermediate Dose Calculation,Optimization

Kaynakça

1. [1] S.G. Spiro, J.C. Porter; “Lung cancer-Where are we today? Current advances in staging and nonsurgical treatment” Am J Respir Crit Care Med. 166:1166–1196. (2002).
2. [2] G.M. Parkin, P. Pisani, J. Ferlay; “Global cancer statistics” CA Cancer J Clin 49:33-6 (1999).
3. [3] M. Hattori, M. Fujita, Y. Ito, et. al.; “Use of a Population-Based Cancer Registry to Calculate Twenty-Year Trends in Cancer Incidence and Mortality in Fukui Prefecture” J Epidemiol (2010).
4. [4] P. Pisani, D.M. Parkin, F. Bray, J. Ferlay; Estimates of the worldwide mortality from 25 cancers in 1990. Int J Cancer 83:18-29 (1999).
5. [5] Sağlık Bakanlığı Kanser İstatistikleri, (2017).
6. [6] M. Gültekin, H. Bilge, Ş.Ç. Gökçe ş, G. Özyiğit, O.G. Yıldız, Temel Ve Klinik Radyoterapi, 1. Baskı, İzmir, Hürriyet Matbaa, s.239 (2013).
7. [7] L.J. Machlın, and A. Pendıch; “Free radical tissue damage. protective role of antioxidant nutrients” Faseb Journal 441-445 (1987).
8. [8] M.S. Hug, Y. Yu, Z.P. Chan, and N. Suntharalıngam “Dosimetrics characteristics of commercial multileaf collimator” Medical Physics 241 – 247(1995).

9. [9] T. Wıezorek, N. Banz, M. Schwedas, M. Scheıthauer, H. Salz, D. Georg and T.G. Wendt, “Dosimetric quality assurance for intensity-modulated radiotherapy” Strahlentherapie und Onkologie 468-474(2005).
10. [10] T. Wıezorek, M. Schwedas, M.Scheġthauer, H. Salz, M. Bellemann and T.G. Wendt, “A new tool for quality assurance for intensity modulated radiotherapy” Strahlentherapie und Onkologie 732-736(2002).
11. [11] A.S. Zacarias and M.D. Mills “Algorithm for correcting optimization convergence errors in Eclipse” J Appl Clin Med Phys. 10(4):3061(2009).
12. [12] U. Jelen and M. Alber “A finite size pencil beam algorithm for IMRT dose optimization: density corrections” Phys Med Biol. 52(3):617–33(2007).
13. [13] L. Ying, R. Anna, L. Taoran, Y. Lulin, Y. Fang-Fang, W. Jackie, “Impact of dose calculation accuracy durng optimization on lung IMRT plan quality” Journal Of Applıed Clınıcal Medıcal Physıcs 16(1) (2015).
14. [14] I.B. Mihaylov and J.V. Siebers, “Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT plans computed with a superposition/convolution dose algorithm” Med Phys. 35(8):3722–27(2008).
15. [15] C.L. Ong, W.F. Verbakel, J.P. Cuijpers, B.J. Slotman, F.J. Lagerwaard and S. Senan, “Stereotactic radiotherapy for peripheral lung tumors: a comparison of volumetric modulated arc therapy with 3 other delivery techniques” Radiother Oncol. 97(3):437–42(2010).
16. [16] I.A. Paddick, “Simple Scoring Ratio to Index the Conformity of Radiosurgical Treatment Plans. Technical note” Journal of Neurosurgery 93:219-222(2000).
17. [17] International Comission on Radiation Units and Measurements; ICRU Report No.: 83. Prescribing, Recording, and Reporting Photon-Beam Intensity Modulated Radiation Therapy (IMRT), ICRU Report No.:83(2010).
18. [18] E. Vanetti, G. Nicolini, J. Nord, J. Peltola, A. Clivio, A. Fogliata, L. Cozzi, “On the Role of the Optimization Algorithm of Rapidarc Volumetric Modulated Arc Therapy on Plan Quality and Efficiency” Medical Physics, November (2011).
19. [19] M.W.K Kan, L.H.T. Leung, K.N. Peter, “The Performance of the Progressive Resolution Optimizer (PRO) for RapidArc Planning in Targets with Low- Density Media. Journal of Applied” Clinical Medical Physics. 14: 205-221(2013).