Literature DB >> 17664549

Clinical CT-based calculations of dose and positron emitter distributions in proton therapy using the FLUKA Monte Carlo code.

K Parodi1, A Ferrari, F Sommerer, H Paganetti.   

Abstract

Clinical investigations on post-irradiation PET/CT (positron emission tomography/computed tomography) imaging for in vivo verification of treatment delivery and, in particular, beam range in proton therapy are underway at Massachusetts General Hospital (MGH). Within this project, we have developed a Monte Carlo framework for CT-based calculation of dose and irradiation-induced positron emitter distributions. Initial proton beam information is provided by a separate Geant4 Monte Carlo simulation modelling the treatment head. Particle transport in the patient is performed in the CT voxel geometry using the FLUKA Monte Carlo code. The implementation uses a discrete number of different tissue types with composition and mean density deduced from the CT scan. Scaling factors are introduced to account for the continuous Hounsfield unit dependence of the mass density and of the relative stopping power ratio to water used by the treatment planning system (XiO (Computerized Medical Systems Inc.)). Resulting Monte Carlo dose distributions are generally found in good correspondence with calculations of the treatment planning program, except a few cases (e.g. in the presence of air/tissue interfaces). Whereas dose is computed using standard FLUKA utilities, positron emitter distributions are calculated by internally combining proton fluence with experimental and evaluated cross-sections yielding 11C, 15O, 14O, 13N, 38K and 30P. Simulated positron emitter distributions yield PET images in good agreement with measurements. In this paper, we describe in detail the specific implementation of the FLUKA calculation framework, which may be easily adapted to handle arbitrary phase spaces of proton beams delivered by other facilities or include more reaction channels based on additional cross-section data. Further, we demonstrate the effects of different acquisition time regimes (e.g., PET imaging during or after irradiation) on the intensity and spatial distribution of the irradiation-induced beta+-activity signal for the cases of head and neck and para-spinal tumour sites.

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Year:  2007        PMID: 17664549      PMCID: PMC2292644          DOI: 10.1088/0031-9155/52/12/004

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


  18 in total

1.  Formation of short-lived positron emitters in reactions of protons of energies up to 200 MeV with the target elements carbon, nitrogen and oxygen.

Authors:  K Kettern; Yu N Shubin; G F Steyn; T N Van Der Walt; H H Coenen; S M Qaim
Journal:  Appl Radiat Isot       Date:  2004-06       Impact factor: 1.513

2.  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

3.  Adaptation of GEANT4 to Monte Carlo dose calculations based on CT data.

Authors:  H Jiang; H Paganetti
Journal:  Med Phys       Date:  2004-10       Impact factor: 4.071

4.  The modelling of positron emitter production and PET imaging during carbon ion therapy.

Authors:  Falk Pönisch; Katia Parodi; Bernhard G Hasch; Wolfgang Enghardt
Journal:  Phys Med Biol       Date:  2004-12-07       Impact factor: 3.609

5.  Investigating the accuracy of the FLUKA code for transport of therapeutic ion beams in matter.

Authors:  Florian Sommerer; Katia Parodi; Alfredo Ferrari; Karin Poljanc; Wolfgang Enghardt; Hannes Aiginger
Journal:  Phys Med Biol       Date:  2006-08-15       Impact factor: 3.609

6.  In-beam PET measurements of beta+ radioactivity induced by proton beams.

Authors:  K Parodi; W Enghardt; T Haberer
Journal:  Phys Med Biol       Date:  2002-01-07       Impact factor: 3.609

7.  Proton dose monitoring with PET: quantitative studies in Lucite.

Authors:  U Oelfke; G K Lam; M S Atkins
Journal:  Phys Med Biol       Date:  1996-01       Impact factor: 3.609

8.  Production of 13N radioactive nuclei from 13C(p,n) or 16O(p, alpha ) reactions.

Authors: 
Journal:  Phys Rev C Nucl Phys       Date:  1989-07

9.  Patient study of in vivo verification of beam delivery and range, using positron emission tomography and computed tomography imaging after proton therapy.

Authors:  Katia Parodi; Harald Paganetti; Helen A Shih; Susan Michaud; Jay S Loeffler; Thomas F DeLaney; Norbert J Liebsch; John E Munzenrider; Alan J Fischman; Antje Knopf; Thomas Bortfeld
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-07-01       Impact factor: 7.038

10.  Conversion of CT numbers into tissue parameters for Monte Carlo dose calculations: a multi-centre study.

Authors:  Barbara Vanderstraeten; Pik Wai Chin; Michael Fix; Antonio Leal; Grisel Mora; Nick Reynaert; Joao Seco; Martin Soukup; Emiliano Spezi; Wilfried De Neve; Hubert Thierens
Journal:  Phys Med Biol       Date:  2007-01-05       Impact factor: 3.609

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  22 in total

1.  Use of the FLUKA Monte Carlo code for 3D patient-specific dosimetry on PET-CT and SPECT-CT images.

Authors:  F Botta; A Mairani; R F Hobbs; A Vergara Gil; M Pacilio; K Parodi; M Cremonesi; M A Coca Pérez; A Di Dia; M Ferrari; F Guerriero; G Battistoni; G Pedroli; G Paganelli; L A Torres Aroche; G Sgouros
Journal:  Phys Med Biol       Date:  2013-11-21       Impact factor: 3.609

2.  Monitoring proton therapy with PET.

Authors:  H Paganetti; G El Fakhri
Journal:  Br J Radiol       Date:  2015-05-20       Impact factor: 3.039

Review 3.  Monte Carlo Simulations of Particle Interactions with Tissue in Carbon Ion Therapy.

Authors:  George Dedes; Katia Parodi
Journal:  Int J Part Ther       Date:  2016-02-09

4.  Feasibility study of using fall-off gradients of early and late PET scans for proton range verification.

Authors:  Jongmin Cho; Kira Grogg; Chul Hee Min; Xuping Zhu; Harald Paganetti; Hyun Cheol Lee; Georges El Fakhri
Journal:  Med Phys       Date:  2017-03-30       Impact factor: 4.071

Review 5.  In vivo range verification in particle therapy.

Authors:  Katia Parodi; Jerimy C Polf
Journal:  Med Phys       Date:  2018-11       Impact factor: 4.071

6.  Proton therapy dosimetry using positron emission tomography.

Authors:  Matthew T Studenski; Ying Xiao
Journal:  World J Radiol       Date:  2010-04-28

7.  The reliability of proton-nuclear interaction cross-section data to predict proton-induced PET images in proton therapy.

Authors:  S España; X Zhu; J Daartz; G El Fakhri; T Bortfeld; H Paganetti
Journal:  Phys Med Biol       Date:  2011-04-05       Impact factor: 3.609

8.  Validation of a GPU-based Monte Carlo code (gPMC) for proton radiation therapy: clinical cases study.

Authors:  Drosoula Giantsoudi; Jan Schuemann; Xun Jia; Stephen Dowdell; Steve Jiang; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-02-26       Impact factor: 3.609

9.  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

10.  Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation.

Authors:  Weishan Chang; Yusuke Koba; Takuya Furuta; Shunsuke Yonai; Shintaro Hashimoto; Shinnosuke Matsumoto; Tatsuhiko Sato
Journal:  J Radiat Res       Date:  2021-09-13       Impact factor: 2.724

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