Title of article :
Evaluation of Electron Contamination in Cancer Treatment with Megavoltage Photon Beams: Monte Carlo Study
Author/Authors :
Seif، F نويسنده Associate Professor, Department of Medical Physics and Radiotherapy, Arak University of Medical Sciences and Khansari Hospital, Arak, Iran , , Bayatiani، M R نويسنده Associate Professor, Department of Medical Physics and Radiotherapy, Arak University of Medical Sciences and Khansari Hospital, Arak, Iran ,
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2015
Pages :
8
From page :
31
To page :
38
Abstract :
زبان چكيده حــذف 357565 Background: Megavoltage beams used in radiotherapy are contaminated with secondary electrons. Different parts of linac head and air above patient act as a source of this contamination. This contamination can increase damage to skin and subcutaneous tissue during radiotherapy. Monte Carlo simulation is an accurate method for dose calculation in medical dosimetry and has an important role in optimization of linac head materials. The aim of this study was to calculate electron contamination of Varian linac. Materials and Method: The 6MV photon beam of Varian (2100 C/D) linac was simulated by Monte Carlo code, MCNPX, based on its company’s instructions. The validation was done by comparing the calculated depth dose and profles of simulation with dosimetry measurements in a water phantom (error less than 2%). The Percentage Depth Dose (PDDs), profles and contamination electron energy spectrum were calculated for different therapeutic feld sizes (5×5 to 40×40 cm2) for both linacs. Results: The dose of electron contamination was observed to rise with increase in feld size. The contribution of the secondary contamination electrons on the surface dose was 6% for 5×5 cm2 to 27% for 40×40 cm2, respectively. Conclusion: Based on the results, the effect of electron contamination on patient surface dose cannot be ignored, so the knowledge of the electron contamination is important in clinical dosimetry. It must be calculated for each machine and considered in Treatment Planning Systems.
Journal title :
Journal of Biomedical Physics and Engineering
Serial Year :
2015
Journal title :
Journal of Biomedical Physics and Engineering
Record number :
2393137
Link To Document :
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