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Monte Carlo GEANT4-based application for in vivo RBE study using small animals at LNS-INFN preclinical hadrontherapy
P Pisciotta1, F P Cammarata2, A Stefano2
1University of Catania, Department of Astronomy and Physics, Catania, Italy; National Institute for Nuclear Physics, Laboratori Nazionali del Sud, INFN-LNS, Catania, Italy; Institute of Molecular Bioimaging and Physiology, National Research Council, IBFM-CNR, Cefalú, PA, Italy.
This study investigated proton therapy
Area of Science:
- Radiation oncology
- Preclinical research
- Medical physics
Background:
- Proton therapy offers higher effectiveness than photons, with a standard relative biological effectiveness (RBE) of 1.1.
- In vitro studies indicate RBE is not constant along the spread-out Bragg peak (SOBP), increasing at the distal edge.
- Understanding RBE variations is crucial for optimizing proton therapy, especially in preclinical settings.
Purpose of the Study:
- To prepare for in vivo studies on RBE variations along the SOBP at the LNS-INFN preclinical hadrontherapy facility.
- To determine optimal treatment configurations for small animal studies using GEANT4 simulations.
- To identify configurations maximizing linear energy transfer (LET) differences while minimizing healthy tissue dose.
Main Methods:
- Developed a GEANT4 application to simulate the CATANA proton therapy beam line at LNS-INFN.
- Integrated DICOM-CT image import for target simulation.
- Evaluated RBE using myelopathy as a deterministic radiation damage endpoint, assuming dose-dependency on LET.
Main Results:
- Simulated and analyzed various treatment configurations for small animal proton therapy.
- Identified two configurations that maximize LET differences.
- Minimized dose delivered to surrounding healthy tissues in the selected configurations.
Conclusions:
- The study provides crucial data for planning preclinical in vivo hadrontherapy treatments.
- Findings will guide future in vivo studies on the RBE of protons along the SOBP.
- Optimized configurations are essential for accurate assessment of RBE in preclinical models.
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