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Related Experiment Videos

Density scaling artifacts in dosimetry calculations.

Peter Dickof1

  • 1Department of Medical Physics, Allan Blair Cancer Centre, Regina, Saskatchewan S4S 1V4, Canada. Peter.Dickof@scf.sk.ca

Journal of Applied Clinical Medical Physics
|September 7, 2005
PubMed
Summary

An artifact in the Pinnacle3 treatment planning system can cause systematic errors during quality assurance dosimetry, particularly when comparing measured doses to calculated doses in phantoms with densities different from 1.000 g/cm3.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Dosimetry

Background:

  • Quality assurance (QA) in radiation therapy necessitates accurate dose calculations.
  • Comparing measured and calculated doses is crucial for treatment planning system (TPS) validation.
  • Phantoms with non-water-equivalent densities are used to simulate heterogeneous tissues.

Purpose of the Study:

  • To investigate the impact of an artifact in the Pinnacle3 TPS on dose calculations.
  • To evaluate the systematic errors introduced by this artifact in QA dosimetry.
  • To assess the effect of the artifact in both homogeneous and heterogeneous phantom scenarios.

Main Methods:

  • Dose calculations were performed using the Pinnacle3 TPS.
  • Phantom dosimetry measurements were conducted.

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  • Comparisons were made between calculated and measured doses for phantoms of varying densities.
  • The presence and impact of a specific TPS artifact were analyzed.

    • Main Results:

    • A systematic error was identified in dose calculations due to a Pinnacle3 TPS artifact.
    • This error is most significant when using phantoms with densities other than 1.000 g/cm3.
    • Reduced, but still present, errors were observed in heterogeneous media.

    Conclusions:

    • The identified artifact in the Pinnacle3 TPS can compromise the accuracy of QA dosimetry.
    • Care must be taken when performing dose comparisons in non-water-equivalent phantoms.
    • The findings highlight the importance of artifact identification and correction in TPS for reliable radiation therapy QA.