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SU-E-T-627: Optimal Partial Arcs in VMAT Planning.

J Wala1, W Chen1, E Salari1

  • 1Massachusetts General Hospital, Boston, MA.

Medical Physics
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a method to create faster partial arc Volumetric Modulated Arc Therapy (VMAT) plans. By optimizing arc selection, significant reductions in treatment delivery time were achieved for lung and liver cancer cases.

Keywords:
AnatomyAwardsCancerIntensity modulated radiation therapyLiverLungsMedical treatment planningSequence analysis

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Cancer Treatment Technology

Background:

  • Volumetric Modulated Arc Therapy (VMAT) is a widely used radiotherapy technique.
  • Optimizing treatment delivery time is crucial for patient comfort and throughput.
  • Partial arc VMAT offers potential for reduced treatment times compared to full arc VMAT.

Purpose of the Study:

  • To develop and describe a method for generating partial arc VMAT plans with minimal delivery time.
  • To maintain dose quality while reducing treatment duration.

Main Methods:

  • An initial 180-beam equi-spaced IMRT plan was created as a benchmark for dose quality.
  • A VMAT optimization algorithm (VMERGE) was employed to find the fastest partial arc plan.
  • An exhaustive search across 169 possible partial arcs was conducted, respecting treatment constraints.

Main Results:

  • The method was successfully applied to lung and liver cancer cases.
  • Significant time savings were observed: lung treatment time reduced from 185s to 94s, and liver from 263s to 165s.
  • Optimal partial arcs were identified for specific target locations.

Conclusions:

  • An exhaustive search over partial arcs combined with VMAT optimization effectively determines the fastest delivery plan.
  • Partial arc VMAT significantly shortens treatment delivery times.
  • This approach enhances efficiency in VMAT delivery.