Localized extra focal dose collimator angle dependence during VMAT: An out-of-field Monte Carlo study using PRIMO software

Radiation Physics and Chemistry - Tập 171 - Trang 108694 - 2020
Firass Ghareeb1, Alessandro Esposito2, Joana Lencart1,3, João A.M. Santos1,3,4
1Research Center, Portuguese Oncology Institute of Porto, Porto, Portugal
2Radiation Oncology Princess Alexandra Raymond Terrace, Brisbane, Australia
3Medical Physics Department, Portuguese Oncology Institute of Porto, Porto, Portugal
4Instituto de Ciências Biomédicas Abel Salazar, University of Porto, Porto, Portugal

Tài liệu tham khảo

Acun, 2014, A comparative study of the peripheral doses from a linear accelerator with a multileaf collimator system, Radiat. Prot. Dosim., 158, 299, 10.1093/rpd/nct225 Agostinelli, 2003, GEANT4—a simulation toolkit, Nucl. Instrum. Methods Phys. Res. Sect. A Accel. Spectrom. Detect. Assoc. Equip., 506, 250, 10.1016/S0168-9002(03)01368-8 Armstrong, 2009, Late mortality among 5-year survivors of childhood cancer: a summary from the Childhood Cancer Survivor Study, J. Clin. Oncol., 27, 2328, 10.1200/JCO.2008.21.1425 Baro, 1995, PENELOPE: an algorithm for Monte Carlo simulation of the penetration and energy loss of electrons and positrons in matter, Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. Mater. Atoms, 100, 31, 10.1016/0168-583X(95)00349-5 Bassal, 2006, Risk of selected subsequent carcinomas in survivors of childhood cancer: a report from the Childhood Cancer Survivor Study, J. Clin. Oncol., 24, 476, 10.1200/JCO.2005.02.7235 Belosi, 2014, Monte Carlo simulation of TrueBeam flattening‐filter‐free beams using Varian phase‐space files: comparison with experimental data, Med. Phys., 41, 10.1118/1.4871041 Brualla, 2017, Monte Carlo systems used for treatment planning and dose verification, Strahlenther. Onkol., 193, 243, 10.1007/s00066-016-1075-8 Brualla, 2009, Efficient Monte Carlo simulation of multileaf collimators using geometry-related variance-reduction techniques, Phys. Med. Biol., 54, 4131, 10.1088/0031-9155/54/13/011 Brualla, 2010, On the efficiency of azimuthal and rotational splitting for Monte Carlo simulation of clinical linear accelerators, Radiat. Phys. Chem., 79, 929, 10.1016/j.radphyschem.2010.03.020 Capote, 2006 Council, 2006 Crowe, 2016, Relationships between gamma criteria and action levels: results of a multicenter audit of gamma agreement index results, Med. Phys., 43, 1501, 10.1118/1.4942488 Duncan, 2018, Radiation dose does matter: mechanistic insights into DNA damage and repair support the linear No-threshold model of low-dose radiation health risks, J. Nucl. Med., 59, 1014, 10.2967/jnumed.118.210252 Ghareeb, 2019, Characterization of extrafocal dose influence on the out-of-field dose distribution by Monte Carlo simulations and dose measurements, Health Phys., 117, 489, 10.1097/HP.0000000000001079 Goorley, 2013 Hall, 2006, Intensity-modulated radiation therapy, protons, and the risk of second cancers, Int. J. Radiat. Oncol. Biol. Phys., 65, 1, 10.1016/j.ijrobp.2006.01.027 Harrison, 2013, Introduction to dosimetry and risk estimation of second cancer induction following radiotherapy, Radiat. Meas., 57, 1, 10.1016/j.radmeas.2013.01.018 Hauri, 2016, A general model for stray dose calculation of static and intensity-modulated photon radiation, Med. Phys., 43, 1955, 10.1118/1.4944421 Howell, 2010, Accuracy of out-of-field dose calculations by a commercial treatment planning system, Phys. Med. Biol., 55, 6999, 10.1088/0031-9155/55/23/S03 Huang, 2013, Accuracy and sources of error of out-of field dose calculations by a commercial treatment planning system for intensity-modulated radiation therapy treatments, J. Appl. Clin. Med. Phys., 14, 4139, 10.1120/jacmp.v14i2.4139 Hussein, 2013, A comparison of the gamma index analysis in various commercial IMRT/VMAT QA systems, Radiother. Oncol., 109, 370, 10.1016/j.radonc.2013.08.048 IAEA, 2000 Jabbari, 2011, Review of fast Monte Carlo codes for dose calculation in radiation therapy treatment planning, J. Med. Signals Sens., 1, 73, 10.4103/2228-7477.83522 Jia, 2011, GPU-based fast Monte Carlo simulation for radiotherapy dose calculation, Phys. Med. Biol., 56, 7017, 10.1088/0031-9155/56/22/002 Kawrakow, 2000, Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version, Med. Phys., 27, 485, 10.1118/1.598917 Kim, 2014, The sensitivity of gamma-index method to the positioning errors of high-definition MLC in patient-specific VMAT QA for SBRT, Radiat. Oncol., 9, 167, 10.1186/1748-717X-9-167 Kleinerman, 2006, Cancer risks following diagnostic and therapeutic radiation exposure in children, Pediatr. Radiol., 36, 121, 10.1007/s00247-006-0191-5 Low, 1998, A technique for the quantitative evaluation of dose distributions, Med. Phys., 25, 656, 10.1118/1.598248 Majer, 2017, Out-of-Field dose measurements for 3d conformal and intensity modulated radiotherapy of a paediatric brain tumour, Radiat. Prot. Dosim., 176, 331, 10.1093/rpd/ncx015 Mancuzo, 2017 Miften, 2018, Tolerance limits and methodologies for IMRT measurement‐based verification QA: recommendations of AAPM Task Group No. 218, Med. Phys., 45, e53, 10.1002/mp.12810 Nelms, 2013, Evaluating IMRT and VMAT dose accuracy: practical examples of failure to detect systematic errors when applying a commonly used metric and action levels, Med. Phys., 40, 111722, 10.1118/1.4826166 Nelms, 2007, A survey on planar IMRT QA analysis, J. Appl. Clin. Med. Phys., 8, 76, 10.1120/jacmp.v8i3.2448 Newhauser, 2011, Assessing the risk of second malignancies after modern radiotherapy, Nat. Rev. Cancer, 11, 438, 10.1038/nrc3069 Otto, 2008, Volumetric modulated arc therapy: IMRT in a single gantry arc, Med. Phys., 35, 310, 10.1118/1.2818738 Parent, 2006, Monte Carlo modelling of a-Si EPID response: the effect of spectral variations with field size and position, Med. Phys., 33, 4527, 10.1118/1.2369465 Piotrowski, 2017, Carcinogenesis induced by low-dose radiation, Radiol. Oncol., 51, 369, 10.1515/raon-2017-0044 Rodriguez, 2012, A combined approach of variance-reduction techniques for the efficient Monte Carlo simulation of linacs, Phys. Med. Biol., 57, 3013, 10.1088/0031-9155/57/10/3013 Rodriguez, 2013, PRIMO: a graphical environment for the Monte Carlo simulation of Varian and Elekta linacs, Strahlenther. Onkol., 189, 881, 10.1007/s00066-013-0415-1 Rodriguez, 2015, A geometrical model for the Monte Carlo simulation of the TrueBeam linac, Phys. Med. Biol., 60, N219, 10.1088/0031-9155/60/11/N219 Sempau, 2011, A PENELOPE‐based system for the automated Monte Carlo simulation of clinacs and voxelized geometries—application to far‐from‐axis fields, Med. Phys., 38, 5887, 10.1118/1.3643029 Siebers, 2004, Monte Carlo computation of dosimetric amorphous silicon electronic portal images, Med. Phys., 31, 2135, 10.1118/1.1764392 Stern, 1999, Peripheral dose from a linear accelerator equipped with multileaf collimation, Med. Phys., 26, 559, 10.1118/1.598557 Stovall, 2006, Dose reconstruction for therapeutic and diagnostic radiation exposures: use in epidemiological studies, Radiat. Res., 166, 141, 10.1667/RR3525.1 Treutwein, 2012, Searching standard parameters for volumetric modulated arc therapy (VMAT) of prostate cancer, Radiat. Oncol., 7, 108, 10.1186/1748-717X-7-108 Tubiana, 2009, Can we reduce the incidence of second primary malignancies occurring after radiotherapy? A critical review, Radiother. Oncol., 91, 4, 10.1016/j.radonc.2008.12.016 Valentin, 2007 Varian Medical Systems, 2016 Ward, 2014, Childhood and adolescent cancer statistics, 2014, CA A Cancer J. Clin., 64, 83, 10.3322/caac.21219 Xu, 2008, A review of dosimetry studies on external-beam radiation treatment with respect to second cancer induction, Phys. Med. Biol., 53, R193, 10.1088/0031-9155/53/13/R01 Ziegenhein, 2015, Fast CPU-based Monte Carlo simulation for radiotherapy dose calculation, Phys. Med. Biol., 60, 6097, 10.1088/0031-9155/60/15/6097