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Popple, R.A., Weinberg, R., Antolak, J.A., Ye, S.J., Pareek, P.N., Duan, J., Shen, S. and Brezovich, I.A. (2006) Comprehensive Evaluation of a Commercial Macro Monte Carlo Electron Dose Calculation Implementation Using a Standard Verification Data Set. Medical Physics, 33, 1540-1551.
https://doi.org/10.1118/1.2198328

has been cited by the following article:

• TITLE: Dose Distributions in Simulated Electron Radiotherapy with Intraoral Cones Using Treatment Planning System

  AUTHORS: Tomohiro Shimozato, Kuniyasu Okudaira

  KEYWORDS: Treatment Planning System, Electron Radiotherapy, Intraoral Cone, Depth Dose, Algorithm

  JOURNAL NAME: International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, Vol.6 No.3, August 7, 2017

  ABSTRACT: Aim: This study aims to evaluate the difference between depth data from an intraoral cone and a conventional irradiation tube calculated using a treatment planning system (TPS), and that measured using an intraoral cone for electron radiotherapy. Background: A TPS is only compatible with conventional irradiation tubes. However, such systems are not suitable for determining dose distributions when a special cone is employed. Materials and Methods: Dose distributions were calculated using the beam data for mounted intraoral cones using a TPS. Then, the dose distribution by field size was calculated for a low-melting-point lead alloy using the beam data for a mounted conventional tube. The calculated data were evaluated against the measured intraoral-cone depth data based on the dose and depth differences. Results: The calculated data for the intraoral cone case did not match the measured data. However, the depth data obtained considering the field size determined for the lead alloy using the conventional tube were close to the measured values for the intraoral cone case. The difference in the depth at which the absorbed dose was 50% of the maximum value of the percentage depth dose was less than ±4 mm for the generalized Gaussian pencil beam convolution algorithm and less than ±1 mm for the electron Monte Carlo algorithm. Conclusion: It was found that the measured and calculated dose distributions were in agreement, especially when then electron Monte Carlo algorithm was used. Thus, the TPS can be employed to determine dose distributions for intraoral cone applications.