Literature DB >> 12553344

Monte Carlo calculation of depth doses for small field of CyberKnife.

Tokihiro Yamamoto1, Teruki Teshima, Satoshi Miyajima, Masao Matsumoto, Hiroya Shiomi, Takehiro Inoue, Toshihiko Inoue, Hideo Hirayama.   

Abstract

PURPOSE: A Monte Carlo (MC) model of CyberKnife was developed as a quality assurance tool. The percentage depth dose (%dd) was verified by using this model.
MATERIALS AND METHODS: An MC model was developed with Electron Gamma Shower version 4 (EGS4) in two steps: (1) a model of the CyberKnife treatment head and (2) a model of the collimator and phantom. The bremsstrahlung spectrum was calculated using the first model, and this spectrum was then used to calculate %dds with the second model. The calculated %dds for a large field (60 mm diameter) and three small fields (30, 15, and 5 mm diameter) were compared with those measured with a diamond detector. RESULTS AND DISCUSSION: The MC-calculated and measured %dd-curves for the 60 mm diameter field were in excellent agreement (<1.85%), thus confirming the validity of the model. Discrepancies between the calculated and measured %dd-curves increased with decreasing field size, with considerable discrepancy (11.62%) for the 5 mm diameter field due to lateral electron disequilibrium. Accurate dose can be determined with MC even in small fields.
CONCLUSION: The MC technique can provide reliable standard data for accurate dose delivery with high-technology radiotherapies using small beams.

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Year:  2002        PMID: 12553344

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  2 in total

1.  Total scatter factors of small beams: a multidetector and Monte Carlo study.

Authors:  Paolo Francescon; Stefania Cora; Carlo Cavedon
Journal:  Med Phys       Date:  2008-02       Impact factor: 4.071

2.  Feasibility Study on Applying Radiophotoluminescent Glass Dosimeters for CyberKnife SRS Dose Verification.

Authors:  Shih-Ming Hsu; Chao-Hsiung Hung; Yi-Jen Liao; Hsiao-Mei Fu; Jo-Ting Tsai; Yung-Hui Huang; David Y C Huang
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

  2 in total

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