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

Radiother Oncol

Metrology for Medical Physics, National Physical Laboratory, Teddington, UK; National Radiotherapy Trials Quality Assurance (RTTQA) Group, Mount Vernon Cancer Centre, Northwood, UK; Radiotherapy Physics, University College London Hospital, London, UK; Medical Physics and Bioengineering Department, University College London, London, UK.

Published: May 2023

AI Article Synopsis

  • The Global Clinical Trials RTQA Harmonization Group (GHG) aimed to enhance the quality assurance of clinical trials focused on radiotherapy by evaluating and prioritizing QA tests for both proton and photon therapies.
  • A comparative analysis revealed that both therapies shared high-risk failure modes, with proton therapy showing an overall higher risk due to more severe potential impacts.
  • The study's introduction of a novel severity scaler allowed for better prioritization of QA improvements, ultimately aiming to reduce errors in radiotherapy clinical trials and enhance trial data quality.

Article 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.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.radonc.2023.109494DOI Listing

Publication Analysis

Top Keywords

clinical trial
12
trial quality
12
clinical trials
12
quality assurance
8
failure modes
8
modes effects
8
effects analysis
8
analysis fmea
8
proton photon
8
photon therapy
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!