Monte carloas a tool to evaluate the effect of different lung densities on radiotherapy dose distribution

B. Caccia, C. Andenna, G. Iaccarino, V. Landoni, A. Soriani, A. Occhigrossi, A. Esposito, E. Petetti, S. Valentini, L. Strigari

Research output: Contribution to journalArticle

Abstract

This study aims at evaluating the effects of different lung densities on dose distribution after irradiation at different field sizes, by comparing experimental measurements, GEANT4 Monte Carlo (MC) simulations and two TPS calculation algorithms on ad hoc phantoms. Irradiations were performed with a Varian Clinac 2100 C/D with a nominal energy of 6 MV. Dosimetric experimental measurements were obtained with radiochromic films. A model based on GEANT4 MC code was developed to simulate both the accelerator and the phantoms. Results of dose distribution show an acceptable agreement between MC simulations and experimental measurements, both in the tumour-equivalent region and in the normal tissue-equivalent ones. On the opposite, results vary among the TPS algorithms, especially in regions of lung-equivalent material at low density, but also at the interface between lung-and tumour-equivalent materials.

Original languageEnglish
Pages (from-to)115-119
Number of pages5
JournalRadiation Protection Dosimetry
Volume162
Issue number1-2
DOIs
Publication statusPublished - Nov 1 2014

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Radiation
  • Public Health, Environmental and Occupational Health
  • Medicine(all)

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    Caccia, B., Andenna, C., Iaccarino, G., Landoni, V., Soriani, A., Occhigrossi, A., Esposito, A., Petetti, E., Valentini, S., & Strigari, L. (2014). Monte carloas a tool to evaluate the effect of different lung densities on radiotherapy dose distribution. Radiation Protection Dosimetry, 162(1-2), 115-119. https://doi.org/10.1093/rpd/ncu241