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Technical note: A software tool to extract complexity metrics from radiotherapy treatment plans.

Samuele Cavinato1, Alessandro Scaggion1, Marta Paiusco1

  • 1Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.

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|August 26, 2024
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Summary

This study introduces UCoMX, a free software tool for extracting radiotherapy treatment plan complexity metrics. UCoMX facilitates efficient analysis of plan deliverability and accuracy across various treatment techniques.

Keywords:
PSQAautomationcomplexity metricspatient‐specific quality assuranceplan complexityreference datasetshared software

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Computational Biology

Background:

  • Complexity metrics quantify radiotherapy treatment plan aspects influencing deliverability and accuracy.
  • A lack of standardized tools hinders the extraction and application of these metrics.
  • Radiotherapy treatment planning complexity requires robust quantification methods.

Purpose of the Study:

  • Introduce UCoMX (Universal Complexity Metrics Extractor), a novel software package.
  • Enable automated extraction of complexity metrics from DICOM-RT plan files.
  • Provide a universal solution for radiotherapy plan complexity analysis.

Main Methods:

  • Developed UCoMX with VCoMX (VMAT/IMRT) and TCoMX (Helical Tomotherapy) extraction engines.
  • Implemented over 90 complexity metrics from existing literature.
  • Created freely available Matlab-based and stand-alone software versions.

Main Results:

  • UCoMX processes DICOM-RT plan files from major commercial Treatment Planning Systems (TPSs).
  • The package supports VMAT, IMRT, and Helical Tomotherapy plans.
  • A reference dataset is provided for inter-center comparisons.

Conclusions:

  • UCoMX provides a user-friendly solution for radiotherapy plan complexity metric extraction.
  • The software's versatility is supported by multiple versions and broad TPS compatibility.
  • UCoMX empowers researchers with an efficient, free tool for treatment plan complexity computation.