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Inter-observer evaluation of a GPU-based multicriteria optimization algorithm combined with plan navigation tools for

Cédric Bélanger1, Éric Poulin2, Sylviane Aubin2

  • 1Département de physique, de génie physique et d'optique et Centre de recherche sur le cancer de l'Université Laval, CHU de Québec, Québec, Québec, Canada; Département de radio-oncologie et Centre de recherche du CHU de Québec, CHU de Québec - Université Laval, Québec, Québec, Canada.

Brachytherapy
|May 18, 2022
PubMed
Summary
This summary is machine-generated.

A new GPU-based multicriteria optimization (gMCO) algorithm for high-dose-rate (HDR) brachytherapy planning was evaluated. Radiation oncologists preferred gMCO plans over traditional clinical plans, indicating improved plan quality and efficiency.

Keywords:
GPUHigh-dose-rate brachytherapyInter-observer studyMulticriteria optimizationPlan navigationProstate cancer

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computer-Aided Planning

Background:

  • High-dose-rate (HDR) brachytherapy planning involves complex optimization.
  • Graphical user interfaces (GUIs) can aid in navigating treatment plans.
  • Multicriteria optimization (MCO) algorithms aim to balance competing objectives.

Purpose of the Study:

  • To evaluate the clinical workflow integration and inter-observer variability of a GPU-based multicriteria optimization (gMCO) algorithm for HDR brachytherapy.
  • To compare treatment plans generated by the gMCO algorithm with reference clinical plans.

Main Methods:

  • Retrospective replanning of 20 prostate cancer HDR brachytherapy cases using the gMCO algorithm.
  • Physicists ranked objective functions and selected preferred plans via gMCO-GUI.
  • Radiation oncologists conducted blinded comparisons of gMCO plans versus clinical plans.

Main Results:

  • Median planning time was 9 minutes.
  • Physicists preferred objective functions incorporating target sub-regions.
  • gMCO plans were preferred by radiation oncologists in blinded comparisons (19, 17, and 12 preferences across three ROs).
  • Eight gMCO plans were unanimously preferred over clinical plans.

Conclusions:

  • The gMCO algorithm demonstrates comparable planning time and quality to current clinical practices.
  • gMCO plans were favorably evaluated by radiation oncologists, suggesting potential for improved clinical outcomes.
  • The gMCO algorithm is a viable tool for HDR brachytherapy planning, enhancing plan selection and quality.