(2021) An inter-comparison between accuracy of EGSnrc and MCNPX Monte Carlo codes in dosimetric characterization of intraoperative electron beam. Computers in Biology and Medicine. ISSN 0010-4825
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Abstract
Background: Ionometric dosimetry in IOERT is a complicated process, due to the sophisticated beam setup and the necessity for dedicated protocols for ion chamber response correction. On the other hand, the Monte Carlo (MC) technique can easily overcome such limitations and be considered as an alternative dosimetry approach. This paper presents a comparative analysis of two widely used MC codes, EGSnrc and MCNPX, for intraoperative electron beam dosimetry. Method: The head of LIAC12, a dedicated IOERT accelerator, was modeled by both mentioned MC codes. Then, the percentage depth dose (PDD) curves, transverse dose profiles (TDPs), and output factor (OF) values were accordingly calculated within the water phantom. To realize the accuracy of MC codes in dosimetric characterization of intraoperative electron beam, their results were finally compared with those measured by corresponding ionometric dosimetry for all forms of electron energy/applicator size. Results: A good agreement was observed between the simulated and measured PDDs/TDPs for both considered MC codes, such that the calculated gamma index values were always lower than unity for both considered MC codes. Nevertheless, the lower gamma index values were found in the case of the EGSnrc code. The maximum difference between the measured and calculated OF was obtained as 2.3 and 3.1 for EGSnrc and MCNPX code, respectively. Conclusions: Although both studied MC codes showed compatible results with the measured ones, EGSnrc code has superior accuracy in this regard and can be considered as a more reliable toolkit in Monte Carlo-based commissioning of dedicated IOERT accelerators.
Item Type: | Article |
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Keywords: | IOERT Monte Carlo simulation Dosimetric characterization EGSnrc code MCNPX code Accuracy evaluation RADIATION-THERAPY COMMITTEE ACCELERATOR PHOTON RADIOTHERAPY PHYSICS |
Journal or Publication Title: | Computers in Biology and Medicine |
Journal Index: | ISI |
Volume: | 128 |
Identification Number: | https://doi.org/10.1016/j.compbiomed.2020.104113 |
ISSN: | 0010-4825 |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/14675 |
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