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A Monte Carlo-based treatment planning tool for proton therapy
Stockholm University, Faculty of Science, Department of Physics.
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2012 (English)Manuscript (preprint) (Other academic)
Abstract [en]

In the field of radiotherapy Monte Carlo (MC) particle transport calculations are recognized for their superior accuracy in predicting dose and fluence distributions in patient geometries compared to analytical algorithms which are generally used for treatment planning due to their shorter execution time. In the present work, a newly-developed MC-based treatment planning (MCTP) tool for proton therapy is proposed to support treatment planning studies and research applications. It allows for single-field and simultaneous multiple-field optimization in realistic treatment scenarios and is based on the MC code FLUKA. Relative biological effectiveness (RBE)-weighted dose is optimized either with the common approach using a constant RBE of 1.1 or using a variable RBE according to radiobiological input tables. A validated reimplementation of the local effect model was used in this work to generate radiobiological input tables. Examples of treatment plans in water phantoms and in patient-CT geometries are presented for clinical treatment parameters as used at the CNAO (Italian Center for Hadrontherapy) facility. To conclude, a versatile MCTP tool for proton therapy was developed and validated for realistic patient treatment scenarios and dosimetric measurements. It is aimed to be used in future for research and to support treatment planning at state-of-the-art ion beam therapy facilities.

Place, publisher, year, edition, pages
2012.
National Category
Physical Sciences
Research subject
Medical Radiation Physics
Identifiers
URN: urn:nbn:se:su:diva-81165OAI: oai:DiVA.org:su-81165DiVA: diva2:560057
Available from: 2012-10-11 Created: 2012-10-11 Last updated: 2012-10-12Bibliographically approved
In thesis
1. Monte Carlo particle transport codes for ion beam therapy treatment planning: Validation, development and applications
Open this publication in new window or tab >>Monte Carlo particle transport codes for ion beam therapy treatment planning: Validation, development and applications
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

External radiotherapy with proton and ion beams needs accurate tools for the dosimetric characterization of treatment fields. Monte Carlo (MC) particle transport codes, such as FLUKA and GEANT4, can be a valuable method to increase accuracy of dose calculations and to support various aspects of ion beam therapy (IBT), such as treatment planning and monitoring. One of the prerequisites for such applications is however that the MC codes are able to model reliably and accurately the relevant physics processes. As a first focus of this thesis work, physics models of MC codes with importance for IBT are developed and validated with experimental data. As a result suitable models and code configurations for applications in IBT are established. The accuracy of FLUKA and GEANT4 in describing nuclear fragmentation processes and the production of secondary charged nuclear fragments is investigated for carbon ion therapy. As a complementary approach to evaluate the capability of FLUKA to describe the characteristics of mixed radiation fields created by ion beams, simulated microdosimetric quantities are compared with experimental data. The correct description of microdosimetric quantities is also important when they are used to predict values of relative biological effectiveness (RBE). Furthermore, two models describing Compton scattering and the acollinearity of two-quanta positron annihilation at rest in media were developed, validated and integrated in FLUKA. The detailed description of these processes is important for an accurate simulation of positron emission tomography (PET) and prompt-γ imaging. Both techniques are candidates to be used in clinical routine to monitor dose administration during cancer treatments with IBT. The second objective of this thesis is to contribute to the development of a MC-based treatment planning tool for protons and ions with atomic number Z ≤ 8 using FLUKA. In contrast to previous clinical FLUKA-based MC implementations for IBT which only re-calculate a given treatment plan, the developed prototype features inverse optimization of absorbed dose and RBE-weighted dose for single fields and simultaneous multiple-field optimization for realistic treatment conditions. In a study using this newly-developed tool, the robustness of IBT treatment fields to uncertainties in the prediction of RBE values is investigated, while comparing different optimization strategies.

Place, publisher, year, edition, pages
Stockholm: Department of Physics, Stockholm University, 2012. 86 p.
Keyword
Monte Carlo, ion beam therapy, treatment planning, cancer therapy, microdosimetry
National Category
Physical Sciences
Research subject
Medical Radiation Physics
Identifiers
urn:nbn:se:su:diva-81111 (URN)978-91-7447-551-7 (ISBN)
Public defence
2012-11-29, föreläsningssalen, Radiumhemmet, Karolinska universitetssjukhuset, Solna, 09:00 (English)
Opponent
Supervisors
Funder
EU, FP7, Seventh Framework Programme, PITN-GA-2008-215840-PARTNEREU, FP7, Seventh Framework Programme, ENVISION FP7 Grant Agreement N. 241851
Note

At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 5: Submitted. Paper 6: Manuscript.

Available from: 2012-11-07 Created: 2012-10-10 Last updated: 2013-04-08Bibliographically approved

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