Literature DB >> 24005581

PRIMO: a graphical environment for the Monte Carlo simulation of Varian and Elekta linacs.

M Rodriguez1, J Sempau, L Brualla.   

Abstract

BACKGROUND: The accurate Monte Carlo simulation of a linac requires a detailed description of its geometry and the application of elaborate variance-reduction techniques for radiation transport. Both tasks entail a substantial coding effort and demand advanced knowledge of the intricacies of the Monte Carlo system being used.
METHODS: PRIMO, a new Monte Carlo system that allows the effortless simulation of most Varian and Elekta linacs, including their multileaf collimators and electron applicators, is introduced. PRIMO combines (1) accurate physics from the PENELOPE code, (2) dedicated variance-reduction techniques that significantly reduce the computation time, and (3) a user-friendly graphical interface with tools for the analysis of the generated data. PRIMO can tally dose distributions in phantoms and computerized tomographies, handle phase-space files in IAEA format, and import structures (planning target volumes, organs at risk) in the DICOM RT-STRUCT standard.
RESULTS: A prostate treatment, conformed with a high definition Millenium multileaf collimator (MLC 120HD) from a Varian Clinac 2100 C/D, is presented as an example. The computation of the dose distribution in 1.86×3.00×1.86 mm3 voxels with an average 2% standard statistical uncertainty, performed on an eight-core Intel Xeon at 2.67 GHz, took 1.8 h-excluding the patient-independent part of the linac, which required 3.8 h but it is simulated only once.
CONCLUSION: PRIMO is a self-contained user-friendly system that facilitates the Monte Carlo simulation of dose distributions produced by most currently available linacs. This opens the door for routine use of Monte Carlo in clinical research and quality assurance purposes. It is free software that can be downloaded from http://www.primoproject.net.

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Year:  2013        PMID: 24005581     DOI: 10.1007/s00066-013-0415-1

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  15 in total

1.  Monte Carlo simulation of electron beams from an accelerator head using PENELOPE.

Authors:  J Sempau; A Sánchez-Reyes; F Salvat; H O ben Tahar; S B Jiang; J M Fernández-Varea
Journal:  Phys Med Biol       Date:  2001-04       Impact factor: 3.609

2.  DPM, a fast, accurate Monte Carlo code optimized for photon and electron radiotherapy treatment planning dose calculations.

Authors:  J Sempau; S J Wilderman; A F Bielajew
Journal:  Phys Med Biol       Date:  2000-08       Impact factor: 3.609

3.  A PENELOPE-based system for the automated Monte Carlo simulation of clinacs and voxelized geometries-application to far-from-axis fields.

Authors:  Josep Sempau; Andreu Badal; Lorenzo Brualla
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

4.  A combined approach of variance-reduction techniques for the efficient Monte Carlo simulation of linacs.

Authors:  M Rodriguez; J Sempau; L Brualla
Journal:  Phys Med Biol       Date:  2012-04-26       Impact factor: 3.609

5.  ORANGE: a Monte Carlo dose engine for radiotherapy.

Authors:  W van der Zee; A Hogenbirk; S C van der Marck
Journal:  Phys Med Biol       Date:  2005-02-21       Impact factor: 3.609

Review 6.  Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning.

Authors:  Indrin J Chetty; Bruce Curran; Joanna E Cygler; John J DeMarco; Gary Ezzell; Bruce A Faddegon; Iwan Kawrakow; Paul J Keall; Helen Liu; C M Charlie Ma; D W O Rogers; Jan Seuntjens; Daryoush Sheikh-Bagheri; Jeffrey V Siebers
Journal:  Med Phys       Date:  2007-12       Impact factor: 4.071

7.  An overview of Monte Carlo treatment planning for radiotherapy.

Authors:  Emiliano Spezi; Geraint Lewis
Journal:  Radiat Prot Dosimetry       Date:  2008-10-16       Impact factor: 0.972

8.  Comparison between PENELOPE and electron Monte Carlo simulations of electron fields used in the treatment of conjunctival lymphoma.

Authors:  L Brualla; R Palanco-Zamora; A Wittig; J Sempau; W Sauerwein
Journal:  Phys Med Biol       Date:  2009-08-26       Impact factor: 3.609

9.  MMC--a high-performance Monte Carlo code for electron beam treatment planning.

Authors:  H Neuenschwander; T R Mackie; P J Reckwerdt
Journal:  Phys Med Biol       Date:  1995-04       Impact factor: 3.609

10.  Monte Carlo based water/medium stopping-power ratios for various ICRP and ICRU tissues.

Authors:  José M Fernández-Varea; Pablo Carrasco; Vanessa Panettieri; Lorenzo Brualla
Journal:  Phys Med Biol       Date:  2007-10-16       Impact factor: 3.609

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  13 in total

Review 1.  Monte Carlo systems used for treatment planning and dose verification.

Authors:  Lorenzo Brualla; Miguel Rodriguez; Antonio M Lallena
Journal:  Strahlenther Onkol       Date:  2016-11-25       Impact factor: 3.621

2.  Monte Carlo simulation using PRIMO code as a tool for checking the credibility of commissioning and quality assurance of 6 MV TrueBeam STx varian LINAC.

Authors:  M Arif Efendi; Amporn Funsian; Thawat Chittrakarn; Tripob Bhongsuwan
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-20

3.  Monte Carlo verification of radiotherapy treatments with CloudMC.

Authors:  Hector Miras; Rubén Jiménez; Álvaro Perales; José Antonio Terrón; Alejandro Bertolet; Antonio Ortiz; José Macías
Journal:  Radiat Oncol       Date:  2018-06-27       Impact factor: 3.481

4.  Validation of a GPU-Based 3D dose calculator for modulated beams.

Authors:  Saeed Ahmed; Dylan Hunt; Jeff Kapatoes; Robert Hayward; Geoffrey Zhang; Eduardo G Moros; Vladimir Feygelman
Journal:  J Appl Clin Med Phys       Date:  2017-03-29       Impact factor: 2.102

Review 5.  Monte Carlo simulations in radiotherapy dosimetry.

Authors:  Pedro Andreo
Journal:  Radiat Oncol       Date:  2018-06-27       Impact factor: 3.481

6.  Validation of PRIMO Monte Carlo Model of Clinac®iX 6MV Photon Beam.

Authors:  B Sarin; B Bindhu; B Saju; Raguram K Nair
Journal:  J Med Phys       Date:  2020-03-13

7.  Primo software as a tool for Monte Carlo simulations of intensity modulated radiotherapy: a feasibility study.

Authors:  Alessandro Esposito; Sofia Silva; Jorge Oliveira; Joana Lencart; João Santos
Journal:  Radiat Oncol       Date:  2018-05-15       Impact factor: 3.481

8.  Evaluation of target dose inhomogeneity in breast cancer treatment due to tissue elemental differences.

Authors:  A Fogliata; F De Rose; A Stravato; G Reggiori; S Tomatis; M Scorsetti; L Cozzi
Journal:  Radiat Oncol       Date:  2018-05-15       Impact factor: 3.481

9.  Collimator scatter factor: Monte Carlo and in-air measurements approaches.

Authors:  A Fogliata; A Stravato; G Reggiori; S Tomatis; J Würfel; M Scorsetti; L Cozzi
Journal:  Radiat Oncol       Date:  2018-07-11       Impact factor: 3.481

10.  PRIMO Monte Carlo software benchmarked against a reference dosimetry dataset for 6 MV photon beams from Varian linacs.

Authors:  Marcelino Hermida-López; David Sánchez-Artuñedo; Juan Francisco Calvo-Ortega
Journal:  Radiat Oncol       Date:  2018-08-07       Impact factor: 3.481

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