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Effect of Tissue Composition on Dose Distribution in Electron Beam Radiotherapy

OBJECTIVE: The aim of this study is to evaluate the effect of tissue composition on dose distribution in electron beam radiotherapy. METHODS: A Siemens Primus linear accelerator and a phantom were simulated using MCNPX Monte Carlo code. In a homogeneous cylindrical phantom, six types of soft tissue...

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Detalles Bibliográficos
Autores principales: Ghorbani, M., Tabatabaei, Z. S., Vejdani Noghreiyan, A., Vosoughi, H., Knaup, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4417615/
https://www.ncbi.nlm.nih.gov/pubmed/25973407
Descripción
Sumario:OBJECTIVE: The aim of this study is to evaluate the effect of tissue composition on dose distribution in electron beam radiotherapy. METHODS: A Siemens Primus linear accelerator and a phantom were simulated using MCNPX Monte Carlo code. In a homogeneous cylindrical phantom, six types of soft tissue and three types of tissue-equivalent materials were investigated. The tissues included muscle (skeletal), adipose tissue, blood (whole), breast tissue, soft tissue (9-components) and soft tissue (4-component). The tissue-equivalent materials were water, A-150 tissue-equivalent plastic and perspex. Electron dose relative to dose in 9-component soft tissue at various depths on the beam’s central axis was determined for 8, 12, and 14 MeV electron energies. RESULTS: The results of relative electron dose in various materials relative to dose in 9-component soft tissue were reported for 8, 12 and 14 MeV electron beams as tabulated data. While differences were observed between dose distributions in various soft tissues and tissue-equivalent materials, which vary with the composition of material, electron energy and depth in phantom, they can be ignored due to the incorporated uncertainties in Monte Carlo calculations. CONCLUSION: Based on the calculations performed, differences in dose distributions in various soft tissues and tissue-equivalent materials are not significant. However, due to the difference in composition of various materials, further research in this field with lower uncertainties is recommended.