Physics in Medicine and Biology · 2000 · 149 citations · 32 references
MedicineOncologyRadiation OncologyClinical Radiation OncologyRadiation DosimetryTreatment PlanningDose CalculationIntensity-modulated RadiotherapyMonte Carlo DosimetryRadiation TherapyRadiation Treatment PlanningTreatment Planning Dose CalculationDose Distribution CalculationsMonte Carlo Dose SimulationPhantom-based Dose MeasurementPrescribed DoseRadiotherapy Dose PlanningTreatment Planning DosimetryTreatment Planning OptimizationTreatment Planning System Dose Verification
The purpose of this work was to use Monte Carlo simulations to verify the accuracy of the dose distributions from a commercial treatment planning optimization system (Corvus, Nomos Corp., Sewickley, PA) for intensity-modulated radiotherapy (IMRT). A Monte Carlo treatment planning system has been implemented clinically to improve and verify the accuracy of radiotherapy dose calculations. Further modifications to the system were made to compute the dose in a patient for multiple fixed-gantry IMRT fields. The dose distributions in the experimental phantoms and in the patients were calculated and used to verify the optimized treatment plans generated by the Corvus system. The Monte Carlo calculated IMRT dose distributions agreed with the measurements to within 2% of the maximum dose for all the beam energies and field sizes for both the homogeneous and heterogeneous phantoms. The dose distributions predicted by the Corvus system, which employs a finite-size pencil beam (FSPB) algorithm, agreed with the Monte Carlo simulations and measurements to within 4% in a cylindrical water phantom with various hypothetical target shapes. Discrepancies of more than 5% (relative to the prescribed target dose) in the target region and over 20% in the critical structures were found in some IMRT patient calculations. The FSPB algorithm as implemented in the Corvus system is adequate for homogeneous phantoms (such as prostate) but may result in significant under or over-estimation of the dose in some cases involving heterogeneities such as the air-tissue, lung-tissue and tissue-bone interfaces.
32
BEAM: A Monte Carlo code to simulate radiotherapy treatment units
D. W. O. Rogers, Bruce Faddegon, G Ding et al. · Medical Physics · 1995 · 1.4K citations
Charlotte Ling, Chandra Burman, Charles K. Chui et al. · International Journal of Radiation Oncology*Biology*Physics · 1996 · 371 citations
Clinical implementation of a Monte Carlo treatment planning system
E Mok, Ajay Kapur, Todd Pawlicki et al. · Medical Physics · 1999 · 297 citations