TPS & Simulations within PARTNER D. Bertrand, D. Prieels Valencia, SPAIN 19 JUNE 2009.

TPS & Simulations within PARTNER

D. Bertrand, D. Prieels

Valencia, SPAIN

19 JUNE 2009

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TPS & simulations within PARTNER

CERN

CNAO

GSI

HIT

Karolinska

Surrey

TERA

IBA

Siemens

MedAustron

IFIC

ETOILE

PARTNER = Clinical studies, Epidemiology, Radiobiology, TPS, Simulations, Image guided particle therapy, PET In-situ monitoring, Gantry design, new accelerator design.

ESR : 6/20 = 30% activity

ER: 1/5 = 20% activity

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Detailed TPS scope (P4)

Research will focus on external ion beam therapy techniques and on adaptive treatments based on combined modalities:

Appropriate model of particle beam spots (spatial distribution, dose deposition)

Study the requirements on the mathematical structure of models

Optimization of algorithms for model evaluations Introduction of biological models for photon radiation into treatment planning

Treatment plan optimization based on biological modelling

Dose assessment with a special attention to the heterogeneities

Biology-based segmentation within the structures (hypoxic regions, dose-volume limits based on LET differences)

Robustness against volume changes

Treatment strategies based on outcome analysis: assessment of tumor control and normal tissues toxicity

Multidimensional dosimetric verification including portal dosimetry

Planning for novel treatment delivery modalities

Analytical or hybrid approaches

Comparative assessment of different Monte-Carlo approaches (Geant4, FLUKA, SHIELD-HIT)

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Detailed Simulation scope (P5)

Research will focus on facilitating the use of GEANT and FLUKA for medical therapy applications:

Collect of available information on the simulation of different ion species used in particle therapy

Simulation, for these different ion species, the relevant physical processes (such as neutron production and capture, break-ups and generation of secondaries,…)

Development of a basic data generation tool Understanding of the interactions of ion beams with materials of the human body Generation of reference codes for clinical use

Benchmarking of treatment planning algorithms by comparison of output plans to MC models

Use of simulation data for optimising or confirming the choices of ion species

Transfer of available Monte Carlo simulation tools for industrial applications (for treatment planning or beamline design)

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TPS - ESR / ER individual projects

WP 10 – Clinical effects of hadron therapy (Surrey)

Multiscale In-silico models describing the clinical effects of hadron beams

Acquisition of simulation input parameters through single ion irradiation experiments

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WP 11 – TPS robustness against volume deformations (MedAustron, IBA)

CT data acquisitions reflecting inter- and intra-fractional changes

Computation of fractionated plans, image deformation and registration

Assessment of treatment strategies in the presence of inter- and intra-fractional deformations

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WP12 – Geant4/GATE Monte Carlo platform (IBA, Etoile)

Elaboration of a detailed MC model for proton and carbon ion therapy

Assessment of beam physical characteristic and therapeutic quality

Computation of relevant parameters for radiobiological modelling

Assessment of TPS output

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WP13 – Treatment plan with combined modalities (MedAustron, Etoile)

Assessment of tumor changes that might require combined treatments

Definition of relevant combined strategies (photons + protons, photons + carbons)

Calculation of separate plans and reconstruction of the overall plan

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Simus - ESR / ER individual projects

WP14 – Comprehensive reference MC codes for hadron therapy (CERN)

Comparison of existing MC codes (G4, FLUKA, Shield-HIT) for their simulation of biomedical effects

Simulate the key physical processes undergone by clinical ion species

Generate basic input data for TPS benchmarking

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WP15 – FLUKA customisation for plan verifications(HIT)

Customisation of FLUKA in the HIT research planning platform

Computation of dose depositions and comparison with treatment plan data

Experimental validation with homogeneous and heterogeneous phantoms

Integration of MC-based verification of treatment plans in an efficient clinical workflow

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WP16 – FLUKA & Geant4 simulations at Siemens Healthcare PT (Siemens)

Setup a simulation environment for carbon ions & protons

Develop, test and document the interface between treatment planning and the simulation environment

Determine the characteristic numbers for the comparison between TPS and simulation platform

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What comes out of these research topics?

Research on key TPS aspects (physical processes, biological effetcs, optimisation)

=> Training of high-quality TPS experts

Clear overlap between multiple projects, even if clear independant objectives for all of them

Already some connexion between researchers; more should be developed

=> Creation of a real collaborative framework through PARTNER

TPS & Simulations within PARTNER D. Bertrand, D. Prieels Valencia, SPAIN 19 JUNE 2009.

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