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    Prioritizing clinical trial quality assurance for photons and protons: a failure modes and effects analysis (FMEA) comparison

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    Authors
    Taylor, P. A.
    Hoffmann, L.
    Kelly, S. M.
    Kry, S. F.
    Sloth Møller, D.
    Miles, E.
    Palmans, H.
    Akbarov, K.
    Aznar, Marianne Camille
    Clementel, E.
    Corning, C.
    Effeney, R.
    Healy, B.
    Moore, A.
    Nakamura, M.
    Patel, S.
    Shaw, M.
    Stock, M.
    Lehmann, J.
    Clark, C. H.
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    Affiliation
    Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
    Issue Date
    2023
    
    Metadata
    Show full item record
    Abstract
    Background and purpose: The Global Clinical Trials RTQA Harmonization Group (GHG) set out to evaluate and prioritize clinical trial quality assurance. Methods: The GHG compiled a list of radiotherapy quality assurance (QA) tests performed for proton and photon therapy clinical trials. These tests were compared between modalities to assess whether there was a need for different types of assessments per modality. A failure modes and effects analysis (FMEA) was performed to assess the risk of each QA failure. Results: The risk analysis showed that proton and photon therapy shared four out of five of their highest-risk failures (end-to-end anthropomorphic phantom test, phantom tests using respiratory motion, pre-treatment patient plan review of contouring/outlining, and on-treatment/post-treatment patient plan review of dosimetric coverage). While similar trends were observed, proton therapy had higher risk failures, driven by higher severity scores. A sub-analysis of occurrence × severity scores identified high-risk scores to prioritize for improvements in RTQA detectability. A novel severity scaler was introduced to account for the number of patients affected by each failure. This scaler did not substantially alter the ranking of tests, but it elevated the QA program evaluation to the top 20th percentile. This is the first FMEA performed for clinical trial quality assurance. Conclusion: The identification of high-risk errors associated with clinical trials is valuable to prioritize and reduce errors in radiotherapy and improve the quality of trial data and outcomes, and can be applied to optimize clinical radiotherapy QA.
    Citation
    Taylor PA, Hoffmann L, Kelly SM, Kry SF, Sloth Møller D, Miles E, et al. Prioritizing Clinical Trial Quality Assurance for Photons and Protons: A Failure Modes and Effects Analysis (FMEA) Comparison. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 2023 Jan 25:109494. PubMed PMID: 36708923. Epub 2023/01/29. eng.
    Journal
    Radiotherapy and Oncology
    URI
    http://hdl.handle.net/10541/626028
    DOI
    10.1016/j.radonc.2023.109494
    PubMed ID
    36708923
    Additional Links
    https://dx.doi.org/10.1016/j.radonc.2023.109494
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.radonc.2023.109494
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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