:: Volume 15, Issue 3 (7-2017) ::
IJRR 2017, 15(3): 289-294 Back to browse issues page
Development and implementation of a Monte Carlo frame work for evaluation of patient specific out- of - field organ equivalent dose
M. Atarod Dr. *, P. Shokrani , A. Amouheidari
Department of Medical Physics and Radiology, Shahrekord University of Medical Sciences, Shahrekord, Iran , maryamatarod@yahoo.com
Abstract:   (865 Views)
Background: The aim of this study was to develop and implement a Monte Carlo framework for evaluation of patient specific out-of-field organ equivalent dose (OED). Materials and Methods: Dose calculations were performed using a Monte Carlo-based model of Oncor linac and tomographic phantoms. Monte Carlo simulations were performed using EGSnrc user codes. Dose measurements were performed using radiochromic films. Furthermore, the applicability of this framework was examined for a 3D conformal radiotherapy of breast. Results: Commissioning of the beam model was done by comparing the measured and calculated out-of-field dose values of several points in the physical and tomographic phantoms, respectively. The maximum percentage difference was 17%, which was smaller than 30% acceptance criteria for Monte Carlo modeling. The maximum statistical uncertainty in out-of-field dose calculation was 23%. Organ equivalent doses for out of field organs in 3D conformal radiotherapy of left breast varied from 2.4 cGy for right kidney to 134.6 cGy for the left humeral head. Conclusion: The framework developed in this research is a valuable tool for calculating peripheral dose and out-of field patient specific OEDs, the quantities needed for calculating risk of secondary cancer induction as a result of radiotherapy. This code can be used as a patient specific treatment plan optimization tool in order to select a treatment plan with the lowest risk of secondary cancer induction.
Keywords: Out-of-field organ doses, secondary cancer risk, tomographic models, Monte Carlo simulations.
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Type of Study: Original Research | Subject: Radiation Biology

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Volume 15, Issue 3 (7-2017) Back to browse issues page