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Independent Monte-Carlo dose calculation for MLC based CyberKnife radiotherapy
P-H Mackeprang1, D Vuong1, W Volken1
1Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.
A new Monte Carlo-based independent dose calculation framework was developed for CyberKnife treatment plans. This validated system ensures accurate patient-specific quality assurance for radiation therapy.
Area of Science:
- Medical Physics
- Radiation Oncology
- Computational Biology
Background:
- Accurate dose calculation is crucial for patient-specific quality assurance (QA) in radiation therapy.
- CyberKnife systems utilize multi-leaf collimators (MLCs) requiring precise QA methods.
- Independent dose calculation (IDC) provides an essential verification step for treatment plans.
Purpose of the Study:
- To develop, implement, and validate a Monte Carlo (MC)-based IDC framework.
- To enable patient-specific QA for MLC-based CyberKnife treatment plans.
- To compare MC-based IDC results with treatment planning system (TPS) calculations and experimental measurements.
Main Methods:
- Utilized an MC beam model with phase spaces and EGS++ library for MLC transport.
- Employed DOSXYZnrc for dose scoring, processing XML treatment plans and DICOM CT data.
- Validated the framework using single beam profiles in a water tank and a prostate plan with Gafchromic film measurements.
Main Results:
- IDC dose profiles agreed within 2.3% or 1 mm of water tank measurements.
- 99.9% of voxels passed gamma analysis comparing film measurements to IDC calculations.
- 99.0% of voxels passed gamma analysis comparing IDC to TPS calculations for a clinical prostate plan.
- IDC dose was up to 5.6% lower than TPS dose near metal fiducial markers.
Conclusions:
- Successfully developed and validated a modular, MC-based IDC framework for CyberKnife QA.
- The framework is ready for patient-specific QA, enhancing treatment plan verification.
- Demonstrated the framework's accuracy against measurements and TPS calculations, highlighting its clinical utility.
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