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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
Comparing 2 Monte Carlo Systems in Use for Proton Therapy Research
Mark Newpower1,2, Jan Schuemann3, Radhe Mohan1
1Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX 77030, USA.
Monte Carlo N-Particle Transport Code (MCNPX) and Geant4 simulations showed minor differences in medical physics applications. Both codes, MC² and TOPAS, produced clinically relevant results, ensuring accuracy for users.
Area of Science:
- Medical Physics
- Computational Science
- Radiation Transport Simulation
Background:
- Monte Carlo (MC) transport codes are essential tools for medical physics applications.
- Ensuring the accuracy of these codes through continuous cross-validation is critical for reliable clinical use.
- MC² (based on MCNPX) and TOPAS (based on Geant4) are widely used MC codes.
Purpose of the Study:
- To compare the simulation accuracy of MC² and TOPAS in medical physics scenarios.
- To validate the performance of MCNPX and Geant4 based codes through direct comparison.
- To assess the clinical relevance of any observed discrepancies between the two simulation platforms.
Main Methods:
- Simulations were performed using TOPAS and MC² with increasing geometrical complexity.
- Scenarios included water phantoms with monoenergetic beams, phantom with tissue/bone slabs, and voxelized CT geometries.
- Comparisons were based on dose/energy profiles, r90 calculations, and gamma analyses.
Main Results:
- Both MC² and TOPAS yielded highly similar results for simple water phantom simulations.
- Minor systematic differences in r90 values (approx. 0.4%) were noted with bone/lung slabs.
- Excellent agreement was observed in complex CT geometries, with >95% pass rate on 3D gamma analysis (2%/2mm criterion).
Conclusions:
- Discrepancies between MC² and TOPAS simulations were found to be minimal.
- The observed differences were not considered clinically significant for medical physics applications.
- Both MCNPX and Geant4 based codes demonstrate reliable performance for radiation transport simulations.
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