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3D VMAT Verification Based on Monte Carlo Log File Simulation with Experimental Feedback from Film Dosimetry.

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A new QuAArC phantom model enhances radiotherapy verification using Monte Carlo simulations and film dosimetry. This system accurately validates complex volumetric modulated arc therapy (VMAT) treatments before patient delivery.

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Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Radiation Dosimetry

Background:

  • Complex radiotherapy techniques like volumetric modulated arc therapy (VMAT) require accurate pre-treatment verification.
  • Existing verification methods may have limitations in spatial resolution and accuracy for complex dose distributions.
  • The QuAArC phantom was developed to address these challenges in radiotherapy planning and verification systems.

Purpose of the Study:

  • To present and validate a novel phantom-based model for evaluating radiotherapy planning and verification systems.
  • To assess the accuracy of Monte Carlo (MC) simulations combined with film dosimetry for complex VMAT treatments.
  • To establish a robust pre-treatment verification system for VMAT.

Main Methods:

  • Utilized the QuAArC phantom, a cylindrical phantom designed to host films at various radial distances for 3D dose distribution analysis.
  • Employed Monte Carlo (MC) simulation of treatment log files to determine actual delivery geometries.
  • Integrated ionization chamber measurements for absolute dose calibration and experimental adjustment of monitor units.
  • Reconstructed dose-volume histograms (DVHs) on patient CT data.
  • Tested the model with prostate and head and neck clinical cases using data from Monaco, Pinnacle, Delta4, and COMPASS systems.

Main Results:

  • Achieved high agreement between reconstructed dose distributions and film measurements, with global gamma passing rates exceeding 90% for the 2%/2 mm criteria.
  • Demonstrated the operational feasibility and accuracy of the proposed phantom-based verification model.
  • Discussed the impact of log file discretization and detector grid mismatch on dose calculation accuracy.
  • Highlighted the importance of detection density and location within the VMAT phantom for reliable DVH reconstruction.

Conclusions:

  • The QuAArC phantom model, coupled with MC simulation and film dosimetry, provides a robust and efficient method for pre-treatment VMAT verification.
  • The model accurately reconstructs 3D dose distributions and DVHs, ensuring reliable quality assurance for complex radiotherapy.
  • Further research should consider log file discretization and detector grid matching for enhanced accuracy.