Literature DB >> 25079387

Integration and evaluation of automated Monte Carlo simulations in the clinical practice of scanned proton and carbon ion beam therapy.

J Bauer1, F Sommerer, A Mairani, D Unholtz, R Farook, J Handrack, K Frey, T Marcelos, T Tessonnier, S Ecker, B Ackermann, M Ellerbrock, J Debus, K Parodi.   

Abstract

Monte Carlo (MC) simulations of beam interaction and transport in matter are increasingly considered as essential tools to support several aspects of radiation therapy. Despite the vast application of MC to photon therapy and scattered proton therapy, clinical experience in scanned ion beam therapy is still scarce. This is especially the case for ions heavier than protons, which pose additional issues like nuclear fragmentation and varying biological effectiveness. In this work, we present the evaluation of a dedicated framework which has been developed at the Heidelberg Ion Beam Therapy Center to provide automated FLUKA MC simulations of clinical patient treatments with scanned proton and carbon ion beams. Investigations on the number of transported primaries and the dimension of the geometry and scoring grids have been performed for a representative class of patient cases in order to provide recommendations on the simulation settings, showing that recommendations derived from the experience in proton therapy cannot be directly translated to the case of carbon ion beams. The MC results with the optimized settings have been compared to the calculations of the analytical treatment planning system (TPS), showing that regardless of the consistency of the two systems (in terms of beam model in water and range calculation in different materials) relevant differences can be found in dosimetric quantities and range, especially in the case of heterogeneous and deep seated treatment sites depending on the ion beam species and energies, homogeneity of the traversed tissue and size of the treated volume. The analysis of typical TPS speed-up approximations highlighted effects which deserve accurate treatment, in contrast to adequate beam model simplifications for scanned ion beam therapy. In terms of biological dose calculations, the investigation of the mixed field components in realistic anatomical situations confirmed the findings of previous groups so far reported only in homogenous water targets. This work can thus be useful to other centers commencing clinical experience in scanned ion beam therapy.

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Year:  2014        PMID: 25079387     DOI: 10.1088/0031-9155/59/16/4635

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


  16 in total

1.  Initial development of goCMC: a GPU-oriented fast cross-platform Monte Carlo engine for carbon ion therapy.

Authors:  Nan Qin; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Phys Med Biol       Date:  2017-01-31       Impact factor: 3.609

Review 2.  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

3.  Experimental and Monte Carlo characterization of a dynamic collimation system prototype for pencil beam scanning proton therapy.

Authors:  Blake R Smith; Mark Pankuch; Daniel E Hyer; Wesley S Culberson
Journal:  Med Phys       Date:  2020-09-09       Impact factor: 4.071

4.  DICOM-RT Ion interface to utilize MC simulations in routine clinical workflow for proton pencil beam radiotherapy.

Authors:  Jungwook Shin; Hanne M Kooy; Harald Paganetti; Benjamin Clasie
Journal:  Phys Med       Date:  2020-05-07       Impact factor: 2.685

5.  Full Monte Carlo-Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit.

Authors:  Nan Qin; Chenyang Shen; Min-Yu Tsai; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-09-12       Impact factor: 7.038

6.  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

7.  The FLUKA Code: An Accurate Simulation Tool for Particle Therapy.

Authors:  Giuseppe Battistoni; Julia Bauer; Till T Boehlen; Francesco Cerutti; Mary P W Chin; Ricardo Dos Santos Augusto; Alfredo Ferrari; Pablo G Ortega; Wioletta Kozłowska; Giuseppe Magro; Andrea Mairani; Katia Parodi; Paola R Sala; Philippe Schoofs; Thomas Tessonnier; Vasilis Vlachoudis
Journal:  Front Oncol       Date:  2016-05-11       Impact factor: 6.244

8.  Proton and helium ion radiotherapy for meningioma tumors: a Monte Carlo-based treatment planning comparison.

Authors:  Thomas Tessonnier; Andrea Mairani; Wenjing Chen; Paola Sala; Francesco Cerutti; Alfredo Ferrari; Thomas Haberer; Jürgen Debus; Katia Parodi
Journal:  Radiat Oncol       Date:  2018-01-09       Impact factor: 3.481

9.  Variable RBE in proton therapy: comparison of different model predictions and their influence on clinical-like scenarios.

Authors:  Giulia Giovannini; Till Böhlen; Gonzalo Cabal; Julia Bauer; Thomas Tessonnier; Kathrin Frey; Jürgen Debus; Andrea Mairani; Katia Parodi
Journal:  Radiat Oncol       Date:  2016-05-17       Impact factor: 3.481

10.  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

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