Calculation of Organ Dose Distribution (in-field and Out-of-field) in Breast Cancer Radiotherapy on RANDO Phantom Using GEANT4 Application for Tomographic Emission (Gate) Monte Carlo Simulation-Reference-Cited by-同舟云学术

Calculation of Organ Dose Distribution (in-field and Out-of-field) in Breast Cancer Radiotherapy on RANDO Phantom Using GEANT4 Application for Tomographic Emission (Gate) Monte Carlo Simulation

Published:2024-06 Issue:6 Volume:14 Page:
ISSN:2228-7477
Container-title:Journal of Medical Signals & Sensors
language:en
Short-container-title:

Author:

Behmadi Marziyeh¹²,Toossi Mohammad Taghi Bahreyni³⁴,Nasseri Shahrokh³⁴,Ravari Mohammad Ehsan¹²,Momennezhad Mahdi⁵,Gholamhosseinian Hamid³⁴,Mohammadi Mohammad⁶,Mdletshe Sibusiso⁷

Affiliation:

1. Cancer Research Center, Semnan University of Medical Sciences, Semnan, Iran

2. Department of Medical Physics, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran

3. Department of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

4. Medical Physics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

5. Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

6. Department of Medical Physics, Royal Adelaide Hospital, Adelaide, Australia

7. Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand

Abstract

Abstract Introduction: Organ dose distribution calculation in radiotherapy and knowledge about its side effects in cancer etiology is the most concern for medical physicists. Calculation of organ dose distribution for breast cancer treatment plans with Monte Carlo (MC) simulation is the main goal of this study. Materials and Methods: Elekta Precise linear accelerator (LINAC) photon mode was simulated and verified using the GEANT4 application for tomographic emission. Eight different radiotherapy treatment plans on RANDO’s phantom left breast were produced with the ISOgray treatment planning system (TPS). The simulated plans verified photon dose distribution in clinical tumor volume (CTV) with TPS dose volume histogram (DVH) and gamma index tools. To verify photon dose distribution in out-of-field organs, the point dose measurement results were compared with the same point doses in the MC simulation. Eventually, the DVHs for out-of-field organs that were extracted from the TPS and MC simulation were compared. Results: Based on the implementation of gamma index tools with 2%/2 mm criteria, the simulated LINAC output demonstrated high agreement with the experimental measurements. Plan simulation for in-field and out-of-field organs had an acceptable agreement with TPS and experimental measurement, respectively. There was a difference between DVHs extracted from the TPS and MC simulation for out-of-field organs in low-dose parts. This difference is due to the inability of the TPS to calculate dose distribution in out-of-field organs. Conclusion and Discussion: Based on the results, it was concluded that the treatment plans with the MC simulation have a high accuracy for the calculation of out-of-field dose distribution and could play a significant role in evaluating the important role of dose distribution for second primary cancer estimation.

Publisher

Medknow

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