Validation of RayStation Monte Carlo dose calculation algorithm for multiple LINACs

Phys Med. 2023 May:109:102588. doi: 10.1016/j.ejmp.2023.102588. Epub 2023 Apr 18.

Abstract

Purpose: A photon Monte Carlo (MC) model was commissioned for flattened (FF) and flattening filter free (FFF) 6 MV beam energy. The accuracy of this model, as a single model to be used for three beam matched LINACs, was evaluated.

Methods: Multiple models were created in RayStation v.10A for three linacs equipped with Elekta "Agility" collimator. A clinically commissioned collapsed cone (CC) algorithm (GoldCC), a MC model automatically created from the CC algorithm without further optimization (CCtoMC) and an optimized MC model (GoldMC) were compared with measurements. The validation of the model was performed by following the recommendations of IAEA TRS 430 and comprised of basic validation in a water tank, validation in a heterogeneous phantom and validation of complex IMRT/VMAT paradigms using gamma analysis of calculated and measured dose maps in a 2D-Array.

Results: Dose calculation with the GoldMC model resulted in a confidence level of 3% for point measurements in water tank and heterogeneous phantom for measurements performed in all three linacs. The same confidence level resulted for GoldCC model. Dose maps presented an agreement for all models on par to each other with γ criteria 2%/2mm.

Conclusions: The GoldMC model showed a good agreement with measured data and is determined to be accurate for clinical use for all three linacs in this study.

Keywords: Commissioning; Dosimetry; LINAC; Monte Carlo; TPS; Treatment planning system.

MeSH terms

  • Algorithms
  • Monte Carlo Method
  • Particle Accelerators
  • Phantoms, Imaging
  • Radiotherapy Dosage
  • Radiotherapy Planning, Computer-Assisted* / methods
  • Radiotherapy, Intensity-Modulated* / methods
  • Water

Substances

  • Water