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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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  11. Process Failure Mode And Effects Analysis For External Beam Radiotherapy: Introducing A Literature-based Template And A Novel Action Priority

Process failure mode and effects analysis for external beam radiotherapy: Introducing a literature-based template and a novel action priority

Dominik Kornek1, Christoph Bert1

  • 1Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), 91054 Erlangen, Germany.

Zeitschrift Fur Medizinische Physik
|March 1, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study developed a failure analysis template for external beam radiotherapy (EBRT) and a new action priority (AP) method for radiation oncology. The radiation oncology AP offers adaptable, transparent action levels for improved failure mode prioritization.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Improvement

Background:

  • External beam radiotherapy (EBRT) involves complex processes with potential failure modes.
  • Effective risk assessment and prioritization are crucial for ensuring patient safety in radiation oncology.
  • Existing methods for failure analysis may not be optimally adapted to the specific needs of radiation oncology.

Purpose of the Study:

  • To develop a generalizable Process Failure Mode and Effects Analysis (PFMEA) template for analyzing potential failures in EBRT.
  • To adapt and validate a novel Action Priority (AP) method for radiation oncology (RO AP), considering different rating systems for severity, occurrence, and detectability.

Main Methods:

  • Developed an EBRT-PFMEA template by adapting the Automotive Industry Action Group (AIAG) PFMEA approach and incorporating findings from a literature survey.
Keywords:
Action priority (AP)External beam radiation therapy (EBRT)Process failure mode and effects analysis (PFMEA)Prospective risk assessment

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  • Defined a new RO AP using a weighted sum of severity, occurrence, and detectability ratings.
  • Utilized Monte Carlo simulations to compare the original AIAG AP, the RO AP, and the Risk Priority Number (RPN), and to parameterize the RO AP.

    • Main Results:

    • Compiled an EBRT-PFMEA template identifying 75 high-risk failure modes.
    • The RO AP required fewer additional corrective actions per failure mode (1.3–3.5) compared to the RPN (3.6) and was comparable to the AIAG AP (1.7).
    • Successfully parameterized the RO AP to equally evaluate severity, occurrence, and detection ratings within the department's specific rating system.

    Conclusions:

    • An adjustable EBRT-PFMEA template is provided as a practical foundation for developing institution-specific failure analysis tools.
    • The RO AP offers transparent and adaptable action levels suitable for diverse rating systems in radiation oncology, enhancing risk management.
    Template