Literature DB >> 16723767

Monte Carlo calculations for absolute dosimetry to determine machine outputs for proton therapy fields.

Harald Paganetti1.   

Abstract

The prescribed dose in radiation therapy has to be converted into machine monitor units for patient treatment. This is done routinely for each spread-out Bragg peak (SOBP) field either by calibration measurements, by using analytical algorithms or by relying on empirical data. At the Northeast Proton Therapy Center, a monitor unit corresponds to a fixed amount of charge collected in a segmented transmission ionization chamber inside the treatment head. The goal of this work was to use a detailed Monte Carlo model of the treatment head to calculate the dose delivered to the patient as a function of ionization chamber reading, i.e. to yield absolute dose in patients in terms of machine monitor units. The results show excellent agreement with measurements. For 50 SOBP fields considered in this study, the mean absolute difference between the experimental and the calculated value is 1.5%, where approximately 50% of the fields agree within 1%. This is within the uncertainties of the data. The Monte Carlo method has advantages over analytical algorithms because it takes into account scattered and secondary radiation, does not rely on empirical parameters, and provides a tool to study the influence of parts of the treatment head on the ionization chamber reading. Compared to experimental methods the Monte Carlo method has the advantage of being able to verify the dose in the patient geometry.

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Year:  2006        PMID: 16723767      PMCID: PMC2292643          DOI: 10.1088/0031-9155/51/11/008

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


  20 in total

1.  Monitor unit calculations for range-modulated spread-out Bragg peak fields.

Authors:  Hanne M Kooy; Matthew Schaefer; Skip Rosenthal; Thomas Bortfeld
Journal:  Phys Med Biol       Date:  2003-09-07       Impact factor: 3.609

2.  Using Monte Carlo simulations to commission photon beam output factors--a feasibility study.

Authors:  George X Ding
Journal:  Phys Med Biol       Date:  2003-12-07       Impact factor: 3.609

3.  Investigation of photon beam output factors for conformal radiation therapy--Monte Carlo simulations and measurements.

Authors:  F Haryanto; M Fippel; W Laub; O Dohm; F Nüsslin
Journal:  Phys Med Biol       Date:  2002-06-07       Impact factor: 3.609

4.  Monitor unit calculation for Monte Carlo treatment planning.

Authors:  C M Ma; R A Price; J S Li; L Chen; L Wang; E Fourkal; L Qin; J Yang
Journal:  Phys Med Biol       Date:  2004-05-07       Impact factor: 3.609

5.  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

6.  Four-dimensional Monte Carlo simulation of time-dependent geometries.

Authors:  H Paganetti
Journal:  Phys Med Biol       Date:  2004-03-21       Impact factor: 3.609

7.  An investigation of accelerator head scatter and output factor in air.

Authors:  George X Ding
Journal:  Med Phys       Date:  2004-09       Impact factor: 4.071

8.  A pencil beam algorithm for proton dose calculations.

Authors:  L Hong; M Goitein; M Bucciolini; R Comiskey; B Gottschalk; S Rosenthal; C Serago; M Urie
Journal:  Phys Med Biol       Date:  1996-08       Impact factor: 3.609

9.  Deduction of the air w value in a therapeutic proton beam.

Authors:  J V Siebers; S M Vatnitsky; D W Miller; M F Moyers
Journal:  Phys Med Biol       Date:  1995-08       Impact factor: 3.609

10.  Dosimetry and measured differential W values of air for heavy ions.

Authors:  T Kanai; T Kohno; S Minohara; M Sudou; E Takada; F Soga; K Kawachi; A Fukumura
Journal:  Radiat Res       Date:  1993-09       Impact factor: 2.841

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  11 in total

1.  An MCNPX Monte Carlo model of a discrete spot scanning proton beam therapy nozzle.

Authors:  Gabriel O Sawakuchi; Dragan Mirkovic; Luis A Perles; Narayan Sahoo; X Ron Zhu; George Ciangaru; Kazumichi Suzuki; Michael T Gillin; Radhe Mohan; Uwe Titt
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

2.  Assessment of out-of-field absorbed dose and equivalent dose in proton fields.

Authors:  Ben Clasie; Andrew Wroe; Hanne Kooy; Nicolas Depauw; Jay Flanz; Harald Paganetti; Anatoly Rosenfeld
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

3.  Range and modulation dependencies for proton beam dose per monitor unit calculations.

Authors:  Wen C Hsi; Andries N Schreuder; Michael F Moyers; Chris E Allgower; Jonathan B Farr; Anthony E Mascia
Journal:  Med Phys       Date:  2009-02       Impact factor: 4.071

4.  Monte Carlo calculations and measurements of absorbed dose per monitor unit for the treatment of uveal melanoma with proton therapy.

Authors:  Nicholas Koch; Wayne D Newhauser; Uwe Titt; Dan Gombos; Kevin Coombes; George Starkschall
Journal:  Phys Med Biol       Date:  2008-02-25       Impact factor: 3.609

5.  TOPAS: an innovative proton Monte Carlo platform for research and clinical applications.

Authors:  J Perl; J Shin; J Schumann; B Faddegon; H Paganetti
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

6.  Monte Carlo study of the potential reduction in out-of-field dose using a patient-specific aperture in pencil beam scanning proton therapy.

Authors:  Stephen J Dowdell; Benjamin Clasie; Nicolas Depauw; Peter Metcalfe; Anatoly B Rosenfeld; Hanne M Kooy; Jacob B Flanz; Harald Paganetti
Journal:  Phys Med Biol       Date:  2012-04-19       Impact factor: 3.609

7.  Uncertainties and correction methods when modeling passive scattering proton therapy treatment heads with Monte Carlo.

Authors:  Bryan Bednarz; Hsiao-Ming Lu; Martijn Engelsman; Harald Paganetti
Journal:  Phys Med Biol       Date:  2011-04-08       Impact factor: 3.609

8.  Experimental validation of the TOPAS Monte Carlo system for passive scattering proton therapy.

Authors:  M Testa; J Schümann; H-M Lu; J Shin; B Faddegon; J Perl; H Paganetti
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

9.  A modular method to handle multiple time-dependent quantities in Monte Carlo simulations.

Authors:  J Shin; J Perl; J Schümann; H Paganetti; B A Faddegon
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

10.  Implementation of an improved dose-per-MU model for double-scattered proton beams to address interbeamline modulation width variability.

Authors:  Liyong Lin; JiaJian Shen; Christopher G Ainsley; Timothy D Solberg; James E McDonough
Journal:  J Appl Clin Med Phys       Date:  2014-05-08       Impact factor: 2.102

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