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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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A GPU-accelerated and Monte Carlo-based intensity modulated proton therapy optimization system.

Jiasen Ma1, Chris Beltran1, Hok Seum Wan Chan Tseung1

  • 1Department of Radiation Oncology, Division of Medical Physics, Mayo Clinic, 200 First Street Southwest, Rochester, Minnesota 55905.

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Summary
This summary is machine-generated.

A new, fast Monte Carlo (MC) treatment planning system (TPS) for intensity modulated proton therapy (IMPT) was developed. This clinically viable system offers comparable plan quality to commercial options, enabling advanced optimizations.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Science

Background:

  • Conventional intensity modulated proton therapy (IMPT) treatment planning systems (TPSs) rely on analytical dose calculations, which have limitations in heterogeneous materials.
  • Monte Carlo (MC) methods offer superior accuracy but are computationally intensive, limiting their clinical application in IMPT due to long calculation times.

Purpose of the Study:

  • To develop a clinically applicable IMPT TPS utilizing a very fast MC dose calculation engine.
  • To overcome the limitations of analytical dose calculations in heterogeneous environments for IMPT.

Main Methods:

  • Employed a graphics processing unit (GPU)-based MC dose calculation engine to generate dose influence maps for each proton spot.
  • Utilized a modified least-squares optimization method with MC-generated influence maps to achieve desired dose volume histograms (DVHs).
  • Adopted intrinsic CT image resolution for voxelization and a multi-GPU framework to manage large dose influence maps and mitigate memory limitations.

Main Results:

  • Achieved clinically viable treatment planning times (under 30 minutes) for complex head and neck cases with over 100,000 spots using a GPU cluster.
  • MC-based TPS plans demonstrated comparable quality to commercial TPS plans, based on DVH comparisons.
  • The developed system is cost-effective, with a hardware cost of approximately $45,000.

Conclusions:

  • A fast, MC-based IMPT TPS has been successfully developed and validated.
  • The system's speed and optimization capabilities make it suitable for clinical implementation and expandable for robust and multicriteria optimization.