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Three-dimensional dose prediction based on two-dimensional verification measurements for IMRT.

Iori Sumida1, Hajime Yamaguchi, Hisao Kizaki

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Weekly quality assurance (QA) for intensity-modulated radiation therapy (IMRT) revealed dose variations during prostate cancer treatment. Averaging these errors showed a small overall dosimetric impact on patients, suggesting current QA methods may suffice.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Quality Assurance

Background:

  • Intensity-modulated radiation therapy (IMRT) dose verification is typically performed once before treatment.
  • Prostate cancer treatment involves a 39-fraction course delivering 78 Gy over eight weeks.
  • Deviations in multileaf collimator (MLC) leaf position can impact dosimetry throughout the treatment course.

Purpose of the Study:

  • To evaluate dose deviations during an entire IMRT treatment course.
  • To assess the impact of bi-weekly MLC leaf calibrations on dosimetry.
  • To analyze weekly relative dose error distributions using 2D beam-by-beam analysis.

Main Methods:

  • Compared 20 patient-specific IMRT QA tests using 2D diode detector arrays to treatment planning system (TPS) calculations.
  • Integrated weekly measured relative dose errors into the original dose grid for each beam.
  • Validated the prediction method by comparing predicted doses and distributions to ionization chamber and film measurements.

Main Results:

  • Predicted doses agreed within 2% of measured doses.
  • Predicted dose distributions showed good agreement with measured distributions.
  • Pretreatment QA results showed variability when analyzed weekly, indicating potential instability.

Conclusions:

  • While pretreatment IMRT QA is not completely stable, weekly analysis shows variations.
  • Averaging dosimetric errors over the treatment course resulted in a minimal overall impact on patients.
  • The study validates a method for predicting dose and dose distributions throughout an IMRT treatment course.