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A study of the interplay effect in radiation therapy using a Monte-Carlo model
Institution:1. Centre de Recherches en Cancérologie de Toulouse (CRCT), Université de Toulouse, UPS, INSERM, Toulouse, France;2. Institut Claudius Regaud (ICR), Institut Universitaire du Cancer de Toulouse-Oncopole (IUCT-O), Département Oncologie Médicale, Toulouse, France;3. Cancer Research Institute of Montpellier, U1194 INSERM/ICM/Montpellier University, and Cancer Institute of Montpellier, Montpellier, France;1. Department of Computer Science, Shantou University, Shantou, Guangdong, China;2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China;1. Department of Medical Physics, Institute of Radiation Protection and Dosimetry (IRD), Av. Salvador Allende, 3773, Barra da Tijuca, Rio de Janeiro, RJ CEP 22783-127, Brazil;2. Nuclear Engineering Department (DNC), Federal University of Rio de Janeiro (UFRJ), sala 206, Centro de Tecnologia, Av. Horácio Macedo, 2030, Bloco G, Fundão, Rio de Janeiro, RJ CEP 21941-941, Brazil;3. Department of Cell Biology, University of the State of Rio de Janeiro (UERJ), Pavilhão Haroldo Lisboa da Cunha, LabAngio, Rua São Francisco Xavier, 524, Maracanã, Rio de Janeiro, RJ CEP 20550-900, Brazil;4. CGMI/DRS, Brazilian National Nuclear Energy Comission (CNEN), Rua General Severiano, 90, Botafogo, Rio de Janeiro, RJ CEP 22290-901, Brazil;5. Department of Radiological Sciences (LCR), State University of Rio de Janeiro (UERJ), Pavilhão Haroldo Lisboa da Cunha, Rua São Francisco Xavier, 524, Maracanã, Rio de Janeiro, RJ CEP 20550-900, Brazil;6. Department of General Biology, Federal Fluminense University, Niterói, RJ CEP 21045-900, Brazil;1. Peter MacCallum Cancer Centre, Physical Sciences Department, University of Melbourne, VIC, Australia;2. School of Science, RMIT University, Melbourne, VIC, Australia;1. Medical Physics Program, Department of Physics and Applied Physics, University of Massachusetts Lowell, Lowell, MA 01854, United States;2. Landauer Medical Physics, 2 Science Road, Glenwood, IL 60425, United States;3. Department of Medical Physics and Radiation Safety, Rhode Island Hospital, Providence, RI 02903, United States;4. Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, United States;1. Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China;2. Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China;3. Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou 730000, China;4. University of Chinese Academy of Sciences, Beijing 100049, China;1. Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, USA;2. London Health Sciences Centre, Western University, London, ON, Canada;3. Department of Radiation Oncology, UCSF Medical Center at Mission Bay, San Francisco, CA, USA
Abstract:PurposeIn modulated radiotherapy, breathing motion can lead to Interplay (IE) and Blurring (BE) effects that can modify the delivered dose. The aim of this work is to present the implementation, the validation and the use of an open-source Monte-Carlo (MC) model that computes the delivered dose including these motion effects.MethodsThe MC model of the Varian TrueBeam was implemented using GATE. The dose delivered by different modulated plans is computed for several breathing patterns. A validation of these MC predictions is achieved by a comparison with measurements performed using a dedicated programmable motion platform, carrying a quality assurance phantom. A specific methodology was used to separate the IE and the BE. The influence of different motion parameters (period, amplitude, shape) and plan parameters (volume margin, dose per fraction) was also analyzed.ResultsThe MC model was validated against measurement performed with motion with a mean 3D global gamma index pass rate of 97.5% (3%/3 mm). A significant correlation is found between the IE and the period and the antero-posterior amplitude of the motion but not between the IE and the CTV margin or the shape of motion. The results showed that the IE increases D2% and decreases the D98% of CTV with mean values of +6.9% and ?3.3% respectively.ConclusionsWe validated the feasibility to assess the IE using a MC model. We found that the most important parameter is the number of breathing cycles that must be greater than 20 for one arc to limit the IE.
Keywords:Interplay  Motion  Radiotherapy  Monte-Carlo
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