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Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT

I B Mihaylov1, J V Siebers

  • 1Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA. ibmihaylov@uams.edu

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This study found that while dose prediction errors in head-and-neck intensity-modulated radiation therapy (IMRT) optimization were small, optimization convergence errors could be clinically significant. Full Monte Carlo (MC) optimization reduced normal tissue dose compared to mixed methods.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Imaging

Background:

  • Intensity-modulated radiation therapy (IMRT) is a standard treatment for head-and-neck (HN) cancers.
  • Accurate dose calculation is crucial for effective IMRT optimization.
  • Superposition/convolution (SC) algorithms are widely used but may have limitations in complex geometries.

Purpose of the Study:

  • To evaluate dose prediction errors (DPEs) and optimization convergence errors (OCEs) in HN IMRT using a superposition/convolution (SC) algorithm.
  • To compare a mixed Monte Carlo (MC)/SC optimization method with a full MC optimization method.
  • To assess the clinical significance of DPEs and OCEs and their impact on normal tissue dose.

Main Methods:

  • Retrospective reoptimization of 13 HN IMRT patient plans.
  • Three optimization steps: fast optimization, mixed MC/SC optimization, and full MC optimization.
  • Analysis of dose-volume indices and statistical equivalence tests for DPEs and OCEs.
  • Correlation analysis between DPEs and OCEs.

Main Results:

  • DPEs were within +/- 2.8%, while OCEs were within 5.5%.
  • OCEs can be clinically significant even when DPEs are insignificant.
  • Full MC optimization reduced normal tissue dose by up to 8.5% compared to the mixed method.
  • Strong correlation between DPEs and OCEs in targets (r > 0.71), no correlation for organs at risk.

Conclusions:

  • Full MC-based optimization is advantageous for HN IMRT due to lower normal tissue doses.
  • Careful consideration of OCEs is necessary for clinical implementation of IMRT.
  • The findings highlight the importance of advanced dose calculation algorithms in optimizing radiation therapy.