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CPOP: An open source C++ cell POPulation modeler for radiation biology applications
1Université Clermont Auvergne, CNRS/IN2P3, LPC, 63000 Clermont-Ferrand, France.
This study introduces the Cell Population (CPOP) modeler, integrated with Geant4 simulations, to simulate radiation effects in multicellular tumor spheroids. The model accurately allocates energy depositions, enhancing radiation outcomes with high-Z nanoparticles.
Area of Science:
- Radiation biology
- Computational modeling
- Nanoparticle drug delivery
Background:
- Multicellular tumor spheroids are vital in vitro models for radiation biology research.
- Simulating radiation effects on spheroids aids in understanding drug efficacy and cancer cell resistance.
- Monte Carlo methods combined with spheroid modeling can predict cell and DNA damage.
Purpose of the Study:
- To develop a Cell Population (CPOP) modeler integrated with Geant4 simulations.
- To investigate energy deposition allocation within spheroids, especially with high-Z nanoparticles.
- To model large, three-dimensional cell populations with detailed cellular components and interactions.
Main Methods:
- Developed CPOP, an open-source C++ platform with Modeler and Multi Agent System (MAS) libraries.
- Interfaced CPOP with the Geant4 Monte Carlo toolkit for direct simulation launching.
- Modeled a realistic 3D SK-MEL28 melanoma cell population and simulated irradiation experiments.
Main Results:
- Simulated energy spectra of secondary particles within the spheroid.
- Evaluated the impact of AGuIX (Gadolinium) nanoparticles on energy spectra.
- Successfully modeled cell populations and integrated them with Geant4 simulations.
Conclusions:
- The CPOP modeler combined with Geant4 simulations is effective for modeling radiation effects in spheroids.
- Future work includes integrating DNA models and Geant4-DNA physics for DNA damage assessment.
- This approach can enhance the understanding of radiation outcomes and nanoparticle radiosensitization.
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