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Related Experiment Videos

Automated planning target volume generation: an evaluation pitting a computer-based tool against human experts

C H Ketting1, M Austin-Seymour, I Kalet

  • 1Department of Radiation Medicine, Loma Linda University Medical Center, CA, USA.

International Journal of Radiation Oncology, Biology, Physics
|February 1, 1997
PubMed
Summary
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This study rigorously evaluated an automated software tool for generating International Commission on Radiation Units and Measurements Report 50 (ICRU-50) planning target volumes (PTVs). The software performed comparably to human experts, highlighting the need for thorough evaluation of radiotherapy tools.

Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Software Engineering in Healthcare

Background:

  • Three-dimensional treatment planning software is increasingly used in radiotherapy.
  • The clinical implementation of these tools often lacks rigorous pre-use evaluation.
  • Automated tools for generating planning target volumes (PTVs) require validated methodologies.

Purpose of the Study:

  • To demonstrate a rigorous evaluation methodology for automated radiotherapy software.
  • To assess the performance of an automated software tool for generating ICRU-50 PTVs using blinded peer review.
  • To compare the software's PTV generation capabilities against human expert performance.

Main Methods:

  • Seven physicians from three institutions participated in the evaluation.

Related Experiment Videos

  • Four physicians created partial PTVs on nine test cases (nasopharynx and lung primaries).
  • An automated software tool generated PTVs using the same data, and three blinded evaluators assessed all PTVs for acceptability.

    • Main Results:

    • The automated software tool demonstrated success comparable to human experts in PTV generation.
    • Common failures included insufficient margins and encroachment on critical structures for both computer and human experts.
    • Qualitative analysis revealed similar types and distributions of errors between the software and human experts.

    Conclusions:

    • Rigorous evaluation of computer-based radiotherapy tools is essential before clinical adoption.
    • Comparison against current clinical practice, like expert-drawn PTVs, is crucial for identifying areas of improvement.
    • Blinded peer review provides a robust method for evaluating automated radiotherapy planning software.