Comparison of CCC and ETAR dose calculation algorithms in pituitary adenoma radiation treatment planning; Monte Carlo evaluation

Abstract Aims To verify the accuracy of two common absorbed dose calculation algorithms in comparison to Monte Carlo (MC) simulation for the planning of the pituitary adenoma radiation treatment. Materials and methods After validation of Linac's head modelling by MC in water phantom, it was ver...

Full description

Saved in:
Bibliographic Details
Published inJournal of radiotherapy in practice Vol. 13; no. 4; pp. 447 - 455
Main Authors Tanha, K., Mahdavi, S. R., Geraily, G.
Format Journal Article
LanguageEnglish
Published Cambridge, UK Cambridge University Press 01.12.2014
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Abstract Aims To verify the accuracy of two common absorbed dose calculation algorithms in comparison to Monte Carlo (MC) simulation for the planning of the pituitary adenoma radiation treatment. Materials and methods After validation of Linac's head modelling by MC in water phantom, it was verified in Rando phantom as a heterogeneous medium for pituitary gland irradiation. Then, equivalent tissue-air ratio (ETAR) and collapsed cone convolution (CCC) algorithms were compared for a conventional three small non-coplanar field technique. This technique uses 30 degree physical wedge and 18 MV photon beams. Results Dose distribution findings showed significant difference between ETAR and CCC of delivered dose in pituitary irradiation. The differences between MC and dose calculation algorithms were 6.40 ± 3.44% for CCC and 10.36 ± 4.37% for ETAR. None of the algorithms could predict actual dose in air cavity areas in comparison to the MC method. Conclusions Difference between calculation and true dose value affects radiation treatment outcome and normal tissue complication probability. It is of prime concern to select appropriate treatment planning system according to our clinical situation. It is further emphasised that MC can be the method of choice for clinical dose calculation algorithms verification.
ISSN:1460-3969
1467-1131
DOI:10.1017/S1460396914000211