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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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Prioritized efficiency optimization for intensity modulated proton therapy.

Birgit S Müller1, Jan J Wilkens

  • 1Department of Radiation Oncology, Technical University of Munich, Klinikum rechts der Isar, Ismaninger Straße 22, 81675 Munich, Germany. Physik-Department, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany.

Physics in Medicine and Biology
|November 8, 2016
PubMed
Summary
This summary is machine-generated.

We developed a new algorithm to optimize intensity modulated proton therapy (IMPT) plans, reducing treatment time without sacrificing plan quality. This method helps balance dosimetric quality and efficiency for personalized radiotherapy.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Intensity modulated proton therapy (IMPT) offers excellent dose conformity in radiotherapy.
  • However, IMPT plans often have long delivery times, which are not typically optimized.
  • Balancing plan quality and treatment efficiency is crucial for clinical IMPT implementation.

Purpose of the Study:

  • To present an algorithm for optimizing the delivery efficiency of IMPT plans.
  • To investigate the trade-offs between dosimetric quality and treatment time.
  • To evaluate the algorithm's performance on a clinical patient case.

Main Methods:

  • Developed a prioritized optimization algorithm (PrEfOpt) with two steps: plan quality optimization followed by efficiency optimization.
  • Offered four strategies within the efficiency step: minimizing spot weight sum, maximizing lowest spot intensity, eliminating low-weighted spots, or eliminating energy layers.
  • Simulated delivery times on virtual facilities with constant and variable proton currents.

Main Results:

  • The PrEfOpt algorithm successfully reduced delivery times with minimal impact on plan quality.
  • Minimizing total spot weight sum achieved a 28% time reduction with <1% change in minimum target dose at constant current.
  • Eliminating low-weighted spots resulted in a 16% faster delivery with variable current.
  • Delivery time reductions varied based on the method and facility proton current.

Conclusions:

  • Integrating an efficiency optimization step into IMPT planning can significantly reduce treatment times while maintaining high plan quality.
  • The PrEfOpt algorithm provides a flexible approach to generate plans with varying trade-offs between quality and time.
  • This enables clinicians to select patient-specific optimal plans in a multicriteria optimization setting.