Literature DB >> 27888282

Monte Carlo systems used for treatment planning and dose verification.

Lorenzo Brualla1, Miguel Rodriguez2, Antonio M Lallena3.   

Abstract

General-purpose radiation transport Monte Carlo codes have been used for estimation of the absorbed dose distribution in external photon and electron beam radiotherapy patients since several decades. Results obtained with these codes are usually more accurate than those provided by treatment planning systems based on non-stochastic methods. Traditionally, absorbed dose computations based on general-purpose Monte Carlo codes have been used only for research, owing to the difficulties associated with setting up a simulation and the long computation time required. To take advantage of radiation transport Monte Carlo codes applied to routine clinical practice, researchers and private companies have developed treatment planning and dose verification systems that are partly or fully based on fast Monte Carlo algorithms. This review presents a comprehensive list of the currently existing Monte Carlo systems that can be used to calculate or verify an external photon and electron beam radiotherapy treatment plan. Particular attention is given to those systems that are distributed, either freely or commercially, and that do not require programming tasks from the end user. These systems are compared in terms of features and the simulation time required to compute a set of benchmark calculations.

Entities:  

Keywords:  Algorithms; Electrons; Photons; Radiation; Software

Mesh:

Year:  2016        PMID: 27888282     DOI: 10.1007/s00066-016-1075-8

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


  83 in total

1.  Description and dosimetric verification of the PEREGRINE Monte Carlo dose calculation system for photon beams incident on a water phantom.

Authors:  C L Hartmann Siantar; R S Walling; T P Daly; B Faddegon; N Albright; P Bergstrom; A F Bielajew; C Chuang; D Garrett; R K House; D Knapp; D J Wieczorek; L J Verhey
Journal:  Med Phys       Date:  2001-07       Impact factor: 4.071

2.  GPU-based fast Monte Carlo simulation for radiotherapy dose calculation.

Authors:  Xun Jia; Xuejun Gu; Yan Jiang Graves; Michael Folkerts; Steve B Jiang
Journal:  Phys Med Biol       Date:  2011-10-21       Impact factor: 3.609

3.  A new formalism for reference dosimetry of small and nonstandard fields.

Authors:  R Alfonso; P Andreo; R Capote; M Saiful Huq; W Kilby; P Kjäll; T R Mackie; H Palmans; K Rosser; J Seuntjens; W Ullrich; S Vatnitsky
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

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

Authors:  M Rodriguez; J Sempau; L Brualla
Journal:  Strahlenther Onkol       Date:  2013-09-06       Impact factor: 3.621

5.  Determination of the optimal statistical uncertainty to perform electron-beam Monte Carlo absorbed dose estimation in the target volume.

Authors:  A Isambert; L Brualla; M Benkebil; D Lefkopoulos
Journal:  Cancer Radiother       Date:  2010-01-12       Impact factor: 1.018

6.  Monte Carlo simulation of RapidArc radiotherapy delivery.

Authors:  K Bush; R Townson; S Zavgorodni
Journal:  Phys Med Biol       Date:  2008-08-29       Impact factor: 3.609

7.  Multiple scattering of 13 and 20 MeV electrons by thin foils: a Monte Carlo study with GEANT, Geant4, and PENELOPE.

Authors:  M Vilches; S García-Pareja; R Guerrero; M Anguiano; A M Lallena
Journal:  Med Phys       Date:  2009-09       Impact factor: 4.071

8.  A geometrical model for the Monte Carlo simulation of the TrueBeam linac.

Authors:  M Rodriguez; J Sempau; A Fogliata; L Cozzi; W Sauerwein; L Brualla
Journal:  Phys Med Biol       Date:  2015-05-18       Impact factor: 3.609

9.  Validation of Varian TrueBeam electron phase-spaces for Monte Carlo simulation of MLC-shaped fields.

Authors:  Samantha A M Lloyd; Isabelle M Gagne; Magdalena Bazalova-Carter; Sergei Zavgorodni
Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

10.  AAA and PBC calculation accuracy in the surface build-up region in tangential beam treatments. Phantom and breast case study with the Monte Carlo code PENELOPE.

Authors:  Vanessa Panettieri; Pierre Barsoum; Mathias Westermark; Lorenzo Brualla; Ingmar Lax
Journal:  Radiother Oncol       Date:  2009-06-21       Impact factor: 6.280

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  7 in total

Review 1.  Treatment planning for proton therapy: what is needed in the next 10 years?

Authors:  Hakan Nystrom; Maria Fuglsang Jensen; Petra Witt Nystrom
Journal:  Br J Radiol       Date:  2019-08-07       Impact factor: 3.039

2.  The influence of small field output factors simulated uncertainties on the calculated dose in VMAT plans for brain metastases: a multicentre study.

Authors:  Stefania Clemente; Maria Daniela Falco; Elisabetta Cagni; Cinzia Talamonti; Mafalda Boccia; Eva Gino; Elena Lorenzini; Federica Rosica; Serenella Russo; Alessandro Alparone; Daniele Zefiro; Christian Fiandra
Journal:  Br J Radiol       Date:  2021-01-22       Impact factor: 3.039

3.  Small Animal IMRT Using 3D-Printed Compensators.

Authors:  Gage Redler; Erik Pearson; Xinmin Liu; Inna Gertsenshteyn; Boris Epel; Charles Pelizzari; Bulent Aydogan; Ralph Weichselbaum; Howard J Halpern; Rodney D Wiersma
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-12-26       Impact factor: 8.013

4.  Extending in aqua portal dosimetry with dose inhomogeneity conversion maps for accurate patient dose reconstruction in external beam radiotherapy.

Authors:  Igor Olaciregui-Ruiz; Julia-Maria Osinga-Blaettermann; Karen Ortega-Marin; Ben Mijnheer; Anton Mans
Journal:  Phys Imaging Radiat Oncol       Date:  2022-04-14

5.  A fast jaw-tracking model for VMAT and IMRT Monte Carlo simulations.

Authors:  Reid Townson; Hilary Egglestone; Sergei Zavgorodni
Journal:  J Appl Clin Med Phys       Date:  2018-05-09       Impact factor: 2.102

6.  Linac photon beam fine-tuning in PRIMO using the gamma-index analysis toolkit.

Authors:  Angelina M Bacala
Journal:  Radiat Oncol       Date:  2020-01-06       Impact factor: 3.481

7.  MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO).

Authors:  Lucia Paganini; Giacomo Reggiori; Antonella Stravato; Valentina Palumbo; Pietro Mancosu; Francesca Lobefalo; Anna Gaudino; Antonella Fogliata; Marta Scorsetti; Stefano Tomatis
Journal:  Radiat Oncol       Date:  2019-12-02       Impact factor: 3.481

  7 in total

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