Literature DB >> 22996039

Comparison of MCNPX and Geant4 proton energy deposition predictions for clinical use.

U Titt1, B Bednarz, H Paganetti.   

Abstract

Several different Monte Carlo codes are currently being used at proton therapy centers to improve upon dose predictions over standard methods using analytical or semi-empirical dose algorithms. There is a need to better ascertain the differences between proton dose predictions from different available Monte Carlo codes. In this investigation Geant4 and MCNPX, the two most-utilized Monte Carlo codes for proton therapy applications, were used to predict energy deposition distributions in a variety of geometries, comprising simple water phantoms, water phantoms with complex inserts and in a voxelized geometry based on clinical CT data. The Gamma analysis was used to evaluate the differences of the predictions between the codes. The results show that in all the cases the agreement was better than clinical acceptance criteria.

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Year:  2012        PMID: 22996039      PMCID: PMC3496257          DOI: 10.1088/0031-9155/57/20/6381

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  21 in total

1.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions.

Authors:  W Schneider; T Bortfeld; W Schlegel
Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

2.  Optimization of physical dose distributions with hadron beams: comparing photon IMRT with IMPT.

Authors:  U Oelfke; T Bortfeld
Journal:  Technol Cancer Res Treat       Date:  2003-10

3.  Test of GEANT3 and GEANT4 nuclear models for 160 MeV protons stopping in CH2.

Authors:  H Paganetti; B Gottschalk
Journal:  Med Phys       Date:  2003-07       Impact factor: 4.071

4.  Accurate Monte Carlo simulations for nozzle design, commissioning and quality assurance for a proton radiation therapy facility.

Authors:  H Paganetti; H Jiang; S Y Lee; H M Kooy
Journal:  Med Phys       Date:  2004-07       Impact factor: 4.071

5.  The clinical potential of intensity modulated proton therapy.

Authors:  Antony J Lomax; Eros Pedroni; Hanspeter Rutz; Gudrun Goitein
Journal:  Z Med Phys       Date:  2004       Impact factor: 4.820

6.  Monte Carlo simulations of a nozzle for the treatment of ocular tumours with high-energy proton beams.

Authors:  Wayne Newhauser; Nicholas Koch; Stephen Hummel; Matthias Ziegler; Uwe Titt
Journal:  Phys Med Biol       Date:  2005-10-24       Impact factor: 3.609

7.  Monte Carlo dose calculations for spot scanned proton therapy.

Authors:  A Tourovsky; A J Lomax; U Schneider; E Pedroni
Journal:  Phys Med Biol       Date:  2005-02-17       Impact factor: 3.609

8.  The calibration of CT Hounsfield units for radiotherapy treatment planning.

Authors:  U Schneider; E Pedroni; A Lomax
Journal:  Phys Med Biol       Date:  1996-01       Impact factor: 3.609

9.  A technique for the quantitative evaluation of dose distributions.

Authors:  D A Low; W B Harms; S Mutic; J A Purdy
Journal:  Med Phys       Date:  1998-05       Impact factor: 4.071

10.  The 200-MeV proton therapy project at the Paul Scherrer Institute: conceptual design and practical realization.

Authors:  E Pedroni; R Bacher; H Blattmann; T Böhringer; A Coray; A Lomax; S Lin; G Munkel; S Scheib; U Schneider
Journal:  Med Phys       Date:  1995-01       Impact factor: 4.071

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  11 in total

1.  The determination of a dose deposited in reference medium due to (p,n) reaction occurring during proton therapy.

Authors:  Anna Dawidowska; Monika Paluch Ferszt; Adam Konefał
Journal:  Rep Pract Oncol Radiother       Date:  2014-05-05

2.  Improved efficiency in Monte Carlo simulation for passive-scattering proton therapy.

Authors:  J Ramos Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

3.  Geometrical splitting technique to improve the computational efficiency in Monte Carlo calculations for proton therapy.

Authors:  José Ramos-Méndez; Joseph Perl; Bruce Faddegon; Jan Schümann; Harald Paganetti
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

4.  Murine-specific Internal Dosimetry for Preclinical Investigations of Imaging and Therapeutic Agents.

Authors:  Bryan Bednarz; Joseph Grudzinski; Ian Marsh; Abby Besemer; Dana Baiu; Jamey Weichert; Mario Otto
Journal:  Health Phys       Date:  2018-04       Impact factor: 1.316

5.  Comparing 2 Monte Carlo Systems in Use for Proton Therapy Research.

Authors:  Mark Newpower; Jan Schuemann; Radhe Mohan; Harald Paganetti; Uwe Titt
Journal:  Int J Part Ther       Date:  2019-05-03

6.  Pitfalls in the beam modelling process of Monte Carlo calculations for proton pencil beam scanning.

Authors:  Carla Winterhalter; Adam Aitkenhead; David Oxley; Jenny Richardson; Damien C Weber; Ranald I MacKay; Antony J Lomax; Sairos Safai
Journal:  Br J Radiol       Date:  2020-02-06       Impact factor: 3.039

7.  A simplified Monte Carlo algorithm considering large-angle scattering for fast and accurate calculation of proton dose.

Authors:  Taisuke Takayanagi; Shusuke Hirayama; Shinichiro Fujitaka; Rintaro Fujimoto
Journal:  J Appl Clin Med Phys       Date:  2017-11-27       Impact factor: 2.102

8.  Validation of the RayStation Monte Carlo dose calculation algorithm using a realistic lung phantom.

Authors:  Andries N Schreuder; Daniel S Bridges; Lauren Rigsby; Marc Blakey; Martin Janson; Samantha G Hedrick; John B Wilkinson
Journal:  J Appl Clin Med Phys       Date:  2019-11-25       Impact factor: 2.102

9.  Enhancement of Radiation Effectiveness in Proton Therapy: Comparison Between Fusion and Fission Methods and Further Approaches.

Authors:  Farshid Tabbakh; Narayan S Hosmane
Journal:  Sci Rep       Date:  2020-03-25       Impact factor: 4.379

10.  Neutron activation of gadolinium for ion therapy: a Monte Carlo study of charged particle beams.

Authors:  Kurt W Van Delinder; Rao Khan; James L Gräfe
Journal:  Sci Rep       Date:  2020-08-07       Impact factor: 4.379

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