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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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Radiation treatment planning with embedded dose escalation.

William T Hrinivich1, Todd R McNutt2, Jeffrey J Meyer2

  • 1Dept. of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, 401 N Broadway St. Weinberg Suite 1440, Baltimore, MD, 21231, USA. whriniv1@jhmi.edu.

Radiation Oncology (London, England)
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PubMed
Summary

This study explored five optimization methods for radiosurgery, finding that a dose-volume histogram (DVH) approach effectively creates high internal tumor doses. This technique may improve tumor control probability (TCP) in solid tumors.

Keywords:
Dose escalationIntensity modulated radiotherapyRadiotherapy optimizationStereotactic body radiotherapy

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Cancer Treatment

Background:

  • Heterogeneous target doses in radiosurgery can arise from normal tissue sparing efforts.
  • Escalated dose regions within tumors may enhance tumor control probability (TCP).
  • This study investigates methods to maximize tumor heterogeneity and internal dose escalation.

Purpose of the Study:

  • To compare five optimization approaches for radiosurgery planning.
  • To evaluate methods that eliminate homogeneity constraints and maximize internal dose escalation.
  • To assess the potential for increasing tumor control probability (TCP) through embedded dose escalation.

Main Methods:

  • Volumetric Modulated Arc Therapy (VMAT) plans were created for spherical targets of varying sizes.
  • Five optimization strategies were employed, including dose-volume histogram (DVH) and generalized equivalent uniform dose (gEUD) objectives.
  • Plans were compared based on dose metrics (D0.1cc, R50%), monitor units (MU), and multi-leaf collimator (MLC) segment size.

Main Results:

  • The DVH-based approach yielded the highest embedded doses across all target sizes.
  • Modest increases in R50% were observed with the DVH approach.
  • This approach was associated with decreased MLC segment size and increased MU.

Conclusions:

  • The DVH-based optimization strategy enables feasible dose escalation exceeding 220% of the tumor margin dose.
  • This method shows potential for improving tumor control probability (TCP) in solid tumors.
  • The findings suggest a promising avenue for advanced radiosurgery treatment planning.