Literature DB >> 25549079

Characterizing a proton beam scanning system for Monte Carlo dose calculation in patients.

C Grassberger1, Anthony Lomax, H Paganetti.   

Abstract

The presented work has two goals. First, to demonstrate the feasibility of accurately characterizing a proton radiation field at treatment head exit for Monte Carlo dose calculation of active scanning patient treatments. Second, to show that this characterization can be done based on measured depth dose curves and spot size alone, without consideration of the exact treatment head delivery system. This is demonstrated through calibration of a Monte Carlo code to the specific beam lines of two institutions, Massachusetts General Hospital (MGH) and Paul Scherrer Institute (PSI). Comparison of simulations modeling the full treatment head at MGH to ones employing a parameterized phase space of protons at treatment head exit reveals the adequacy of the method for patient simulations. The secondary particle production in the treatment head is typically below 0.2% of primary fluence, except for low-energy electrons (<0.6 MeV for 230 MeV protons), whose contribution to skin dose is negligible. However, there is significant difference between the two methods in the low-dose penumbra, making full treatment head simulations necessary to study out-of-field effects such as secondary cancer induction. To calibrate the Monte Carlo code to measurements in a water phantom, we use an analytical Bragg peak model to extract the range-dependent energy spread at the two institutions, as this quantity is usually not available through measurements. Comparison of the measured with the simulated depth dose curves demonstrates agreement within 0.5 mm over the entire energy range. Subsequently, we simulate three patient treatments with varying anatomical complexity (liver, head and neck and lung) to give an example how this approach can be employed to investigate site-specific discrepancies between treatment planning system and Monte Carlo simulations.

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Year:  2014        PMID: 25549079      PMCID: PMC4300341          DOI: 10.1088/0031-9155/60/2/633

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


  16 in total

1.  Experimental characterization of the low-dose envelope of spot scanning proton beams.

Authors:  Gabriel O Sawakuchi; X Ronald Zhu; Falk Poenisch; Kazumichi Suzuki; George Ciangaru; Uwe Titt; Aman Anand; Radhe Mohan; Michael T Gillin; Narayan Sahoo
Journal:  Phys Med Biol       Date:  2010-05-28       Impact factor: 3.609

2.  A beam source model for scanned proton beams.

Authors:  Peter Kimstrand; Erik Traneus; Anders Ahnesjö; Erik Grusell; Bengt Glimelius; Nina Tilly
Journal:  Phys Med Biol       Date:  2007-05-10       Impact factor: 3.609

3.  Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties.

Authors:  A J Lomax
Journal:  Phys Med Biol       Date:  2008-01-29       Impact factor: 3.609

4.  Is it necessary to plan with safety margins for actively scanned proton therapy?

Authors:  F Albertini; E B Hug; A J Lomax
Journal:  Phys Med Biol       Date:  2011-06-27       Impact factor: 3.609

5.  A case study in proton pencil-beam scanning delivery.

Authors:  Hanne M Kooy; Benjamin M Clasie; Hsiao-Ming Lu; Thomas M Madden; Hassan Bentefour; Nicolas Depauw; Judy A Adams; Alexei V Trofimov; Denis Demaret; Thomas F Delaney; Jacob B Flanz
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-02-01       Impact factor: 7.038

6.  Golden beam data for proton pencil-beam scanning.

Authors:  Benjamin Clasie; Nicolas Depauw; Maurice Fransen; Carles Gomà; Hamid Reza Panahandeh; Joao Seco; Jacob B Flanz; Hanne M Kooy
Journal:  Phys Med Biol       Date:  2012-02-14       Impact factor: 3.609

7.  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

8.  Clinical implementation of full Monte Carlo dose calculation in proton beam therapy.

Authors:  Harald Paganetti; Hongyu Jiang; Katia Parodi; Roelf Slopsema; Martijn Engelsman
Journal:  Phys Med Biol       Date:  2008-08-13       Impact factor: 3.609

Review 9.  Range uncertainties in proton therapy and the role of Monte Carlo simulations.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

10.  Efficient voxel navigation for proton therapy dose calculation in TOPAS and Geant4.

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

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  8 in total

1.  Intensity modulated proton therapy.

Authors:  H M Kooy; C Grassberger
Journal:  Br J Radiol       Date:  2015-05-27       Impact factor: 3.039

2.  Validation of a Monte Carlo Framework for Out-of-Field Dose Calculations in Proton Therapy.

Authors:  Marijke De Saint-Hubert; Nico Verbeek; Christian Bäumer; Johannes Esser; Jörg Wulff; Racell Nabha; Olivier Van Hoey; Jérémie Dabin; Florian Stuckmann; Fabiano Vasi; Stephan Radonic; Guillaume Boissonnat; Uwe Schneider; Miguel Rodriguez; Beate Timmermann; Isabelle Thierry-Chef; Lorenzo Brualla
Journal:  Front Oncol       Date:  2022-06-08       Impact factor: 5.738

3.  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

Review 4.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

5.  A benchmarking method to evaluate the accuracy of a commercial proton monte carlo pencil beam scanning treatment planning system.

Authors:  Liyong Lin; Sheng Huang; Minglei Kang; Petri Hiltunen; Reynald Vanderstraeten; Jari Lindberg; Sami Siljamaki; Todd Wareing; Ian Davis; Allen Barnett; John McGhee; Charles B Simone; Timothy D Solberg; James E McDonough; Christopher Ainsley
Journal:  J Appl Clin Med Phys       Date:  2017-02-02       Impact factor: 2.102

6.  Validation and clinical implementation of an accurate Monte Carlo code for pencil beam scanning proton therapy.

Authors:  Sheng Huang; Minglei Kang; Kevin Souris; Christopher Ainsley; Timothy D Solberg; James E McDonough; Charles B Simone; Liyong Lin
Journal:  J Appl Clin Med Phys       Date:  2018-07-30       Impact factor: 2.102

7.  Computer-assisted beam modeling for particle therapy.

Authors:  Hermann Fuchs; Alessio Elia; Andreas F Resch; Peter Kuess; Armin Lühr; Marie Vidal; Loïc Grevillot; Dietmar Georg
Journal:  Med Phys       Date:  2020-12-25       Impact factor: 4.071

8.  Phase Space Generation for Proton and Carbon Ion Beams for External Users' Applications at the Heidelberg Ion Therapy Center.

Authors:  Thomas Tessonnier; Tiago Marcelos; Andrea Mairani; Stephan Brons; Katia Parodi
Journal:  Front Oncol       Date:  2016-01-11       Impact factor: 6.244

  8 in total

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