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Related Experiment Video

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Automated Knowledge-Based Intensity-Modulated Proton Planning: An International Multicenter Benchmarking Study.

Alexander R Delaney1, Lei Dong2, Anthony Mascia3

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Summary

A new knowledge-based intensity-modulated proton therapy (IMPT) planning solution efficiently generated head and neck cancer (HNC) plans comparable to manual ones. This automated approach shows promise for improving consistency and efficiency in proton therapy planning.

Keywords:
IMPTautomatedhead and neck cancerknowledge-based planningmodel-based planningproton therapy

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Area of Science:

  • Oncology
  • Medical Physics
  • Radiotherapy

Background:

  • Knowledge-based planning (KBP) in radiotherapy offers increased consistency and efficiency compared to manual methods.
  • Automated planning solutions are advancing, with knowledge-based intensity-modulated proton therapy (IMPT) showing potential to match or exceed manual clinical plans.

Purpose of the Study:

  • To benchmark a novel prototype knowledge-based intensity-modulated proton therapy (IMPT) planning solution against manual plans from three international proton centers.
  • To evaluate the quality of knowledge-based proton therapy plans in terms of target volume coverage, homogeneity, and organ-at-risk (OAR) doses.

Main Methods:

  • A model library was created using 50 manual head and neck cancer (HNC) IMPT plans.
  • Manual IMPT plans from three external centers were used as benchmarks.
  • Knowledge-based plans (KBPs) were generated using a standard beam arrangement and compared against benchmark plans for PTV coverage, homogeneity, and OAR doses.

Main Results:

  • Planning target volume (PTV) coverage and homogeneity were comparable between KBPs and benchmark plans.
  • Knowledge-based plans (KBPs) demonstrated lower mean organ-at-risk (OAR) doses in a majority of OARs across all centers, with significant improvements noted.
  • Plan generation time for KBPs was typically under 10 minutes.

Conclusions:

  • A single-center knowledge-based IMPT planning solution can efficiently produce plans of comparable quality to manual HNC IMPT plans from different centers.
  • Occasional higher KBP OAR doses underscore the importance of beam angle optimization and manual review.
  • The developed solution shows potential for robust optimization in proton therapy planning.