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CPOP: An Open-Source C++ Cell Population Modeler Combined to Geant4 Simulations for Radiation Biology

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L Maigne

L Maigne1*, H Payno1 , G Fois1 , F Smekens1 , E Debiton2 , F Degoul2 , (1) Laboratoire de Physique de Clermont UMR 6533 CNRS-IN2P3-University Clermont Auvergne, Aubiere, France (2) UMR1240 INSERM-University Clermont Auvergne, Clermont-Ferrand, France


SU-I-GPD-T-651 (Sunday, July 30, 2017) 3:00 PM - 6:00 PM Room: Exhibit Hall

Purpose: Multicellular tumor spheroids are realistic in-vitro systems in radiation biology research to study the effect of anticancer drugs or to evaluate the resistance of cancer cells within specific conditions. When combining the modeling of spheroids together with the simulation of radiation therapy treatments using Monte Carlo methods, one could estimate cell and DNA damage to be compared with experimental endpoints. We developed a Cell Population (CPOP) modeler combined to Geant4 simulations in order to tackle how energy depositions are allocated to cells, especially when enhancing radiation outcomes using high-Z nanoparticles.

Methods: The C++ CPOP platform is opensource and divided into two main modules: a “Modeler” module for cell geometry modeling using meshes and a Multi Agent System (MAS) module simulating all agent (cell) interactions among the population. CPOP is fully interfaced with the Geant4 Monte Carlo toolkit and is able to directly emulate Geant4 simulations after compilation. We modeled a full and realistic 3D cell population obtained experimentally with melanoma cells. The spheroid diameter of 550±40 µm corresponds to approximately 1000 cells having a diameter of 17.2±2.5 µm and a nucleus diameter of 11.2±2.0 µm. We decided to reproduce cell irradiations performed with a X-RAD 320 Biological Irradiator (Precision XRay Inc., North Branford, CT).

Results: We simulated the energy spectrum of secondary particles generated in the vicinity of spheroids and plotted the different energy spectra recovered from internal to external layers of the spheroid. We evaluated also the impact of AGuIX (Gadolinium) nanoparticles modeled into the spheroid with their corresponding secondary energy spectra.

Conclusion: We succeeded into modeling cell populations and combined them with Geant4 simulations. The next step will be to integrate DNA models into cell nuclei and to use the Geant4-DNA physics list to evaluate strand brakes occurred to the DNA simulating water radiolysis.

Funding Support, Disclosures, and Conflict of Interest: This work was supported by grants from Plan Cancer 2009-2013 French national initiative through the call for proposals "Domaine de la physique, des mathematiques ou des sciences de lingenieur appliques au Cancer" managed by INSERM (Institut National de la Sante et de la Recherche Medicale) under contract PC201320.

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