Maryam Amininejad - Department of Radiation Medical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Seied Rabi Mahdavi - Radiation Biology Research Center and Medical Physics Department, Iran University of Medical Sciences, Tehran, Iran
Elham Saeedzadeh - Department of Radiation Medical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

The dose distribution in the tumor bed and the neighboring tissue is an important issue in intraoperative radiation therapy (IORT). In the current study, a new software tool was developed to calculate and visualize the ۲D and ۳D dose distributions of the electron beams from the light intraoperative accelerator (LIAC) and validate the software through experimental measurements. Methods: The Monte Carlo code ‘GATE’ was used to simulate the LIAC. Percentage depth dose curves (PDD) and transverse dose profiles (TDP) were calculated for all nominal energies in the water phantom, for the reference applicator. Results: The dose distribution was defined in the form of isodose curves in the water phantom to study the volumetric and superficial changes of absorbed dose. There weren’t significant differences between calculated and measured PDD curves and TDPs. R۱۰۰, R۵۰, R۹۰, Rp, and Ds values obtained from simulation were in good agreement with measurement. The maximum relative error was ۸.۶% which was related to R۱۰۰, due to the absence of charged particle equilibrium in the surface. As expected, the least error was related to R۵۰; making it the most common parameter in electron dosimetry. Conclusions: The developed software is a basis to assess the dosimetric characteristics of all applicators and energy levels of the LIAC accelerator by calculating the ۲D and ۳D dose distribution during a proper calculation time. It can perform as a treatment planning system for IORT to calculate the absorbed dose of the clinical target volume and adjacent normal tissues which is not directly possible.

Intraoperative, Dosimetry, Electron Beam, GATE, Radiotherapy, Monte Carlo Method