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Multiple anatomy optimization of accumulated dose.

W Tyler Watkins1, Joseph A Moore2, James Gordon3

  • 1Department of Radiation Oncology, University of Virginia, Charlottesville, Virginia 22908 and Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298.

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Multiple Anatomy Optimization (MAO) offers improved lung cancer radiation therapy by ensuring target dose coverage and reducing organ-at-risk dose compared to the Internal Target Volume (ITV) approach.

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Image-Guided Therapy

Background:

  • Lung cancer radiation therapy requires precise dose delivery to moving targets.
  • Traditional Internal Target Volume (ITV) planning may not adequately account for respiratory motion.
  • Four-dimensional computed tomography (4DCT) provides motion data crucial for advanced planning techniques.

Purpose of the Study:

  • To evaluate the benefits of Multiple Anatomy Optimization (MAO) over the ITV approach for lung cancer radiotherapy.
  • To assess MAO's ability to optimize dose distribution for moving targets and spare organs at risk (OARs).

Main Methods:

  • MAO optimizes a single fluence for free-breathing delivery, accumulating dose from multiple 4DCT phases.
  • Simulated phantom and patient studies compared MAO and ITV planning techniques.
  • Dose variations in target and OARs were analyzed during simulated deliveries.

Main Results:

  • MAO demonstrated superior target dose coverage and reduced OAR dose compared to ITV planning.
  • MAO achieved comparable OAR dosimetry to ITV at planning objective levels.
  • While cumulative doses were consistent, MAO showed potential for more homogeneous per-phase target dose delivery.

Conclusions:

  • MAO integrates 4DCT data for optimized dose distribution, outperforming ITV plans in target coverage and OAR sparing.
  • Further investigation is needed to determine the optimal dose heterogeneity for MAO plans.