Abstract

Ionizing radiation therapies have been improving over the years, becoming more specific for each patient. Thereby, as the treatment planning system (TPS) complexities increases, the quality assurance (QA) methods have to be in constant evolution. One of the techniques that demand great complexity is the Volumetric Modulated Arc Therapy (VMAT), and one possible way to VMAT commissioning is using 3D dosimetry systems. Recently a new 3D dosimetry system called ArcCHECK had been developed and commercialized mainly for VMAT quality assurance. It is water-equivalent and composed by an array of 1386 diodes arranged in a helical pattern. Since simulation methods, like Monte Carlo method, ensure highly accurate results, MCNP (A General Monte Carlo N-Particle Transport Code System) is totally reliable for problems that involve radiation transport. This work presents two computational models for Monte Carlo simulations to predict detection responses in the QA procedure using the ArcCHECK. The computational models were validated comparing the system responses obtained from MCNP6 simulations against measured responses due to a 6 MeV clinical photon beam from a Linear Accelerator. 2D dose maps were reported here with good agreement between simulated and measured values.

Highlights

  • Over the years, ionizing radiation therapies, as Radiotherapy, have largely improved the machine and equipment technologies as well as the daily procedures, so that, treatment planning systems (TPS) are becoming more complex and specific for each patient

  • Thereby, as the TPS complexities increase, the Quality Assurance (QA) methods have to be in constant evolution to ensure the proper functioning of the dose delivery system [1]

  • This work presents two computational models of the 3D dosimetry system ArcCHECK developed for simulation using MCNP6

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Summary

Introduction

Over the years, ionizing radiation therapies, as Radiotherapy, have largely improved the machine and equipment technologies as well as the daily procedures, so that, treatment planning systems (TPS) are becoming more complex and specific for each patient. VMAT is a technique that attempts to optimize the 3D dose distribution by modulation of beam intensity, in one or various rotations, using any arc length around the patient [2], in order to try to save significantly the adjacent healthy tissues in an extremely fast treatment [3]. This technique attempts to be as close as possible to an exact treatment due to a planning algorithm, where three parameters vary simultaneously during the treatment [3]. With the purpose of performing dosimetry studies for commissioning and implementation of a dosimetry system, it is possible to create a virtual model that represents the real system, by the use of the tools of a Monte Carlo code

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