ArticleJournal of applied clinical medical physics2022
Failure modes and effects analysis for surface-guided DIBH breast radiotherapy.
Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of prospective hazard analysis in radiation therapy.Medical physics · 2025Pooled it
- A technology-specific risk analysis of surface guided radiation therapy.Journal of applied clinical medical physics · 2026Article
- An AI-assisted, failure mode-based toolkit for proactive risk management in radiotherapy: A feasibility study.Technical innovations & patient support in radiation oncology · 2026Article
- Feasibility and workflow efficiency of automated deep inspiration breath-hold for locoregional breast irradiation on a ring-gantry accelerator.Physics and imaging in radiation oncology · 2026Article
- Translating SGRT from Breast to Lung Cancer: A Study on Frameless Immobilization and Real-Time Monitoring Efficacy, Focusing on Setup Accuracy.Life (Basel, Switzerland) · 2025Article
- Real-time gated proton therapy: Introducing clinical workflow and failure modes and effects analysis (FMEA).Technical innovations & patient support in radiation oncology · 2025Article
- Healthcare Application of Failure Mode and Effect Analysis (FMEA): Is There Room in the Infectious Disease Setting? A Scoping Review.Healthcare (Basel, Switzerland) · 2025Article
- Improving the safety of radiotherapy treatment processes via incident-driven FMEA feedback loops.Journal of applied clinical medical physics · 2024Article
- Process failure mode and effects analysis for external beam radiotherapy: Introducing a literature-based template and a novel action priority.Zeitschrift fur medizinische Physik · 2024Article
- Prospective risk analysis of the online-adaptive artificial intelligence-driven workflow using the Ethos treatment system.Zeitschrift fur medizinische Physik · 2024Article
- Initial end-to-end testing of the ExacTrac dynamic deep inspiration breath hold workflow using a breath hold breast phantom.Physical and engineering sciences in medicine · 2023Article
- Fuzzy analytic hierarchy process-based risk priority number for risk assessments of commissioning process of a ring gantry LINAC.Journal of applied clinical medical physics · 2022Article
- Failure modes and effects analysis for surface-guided DIBH breast radiotherapy.Journal of applied clinical medical physics · 2022Article
- Learning Reimagined: AI's Role in Advancing Education of Cancer Research and Treatment Technology.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite breast cancer prevalence and widespread adoption of deep inspiration breath-hold (DIBH) radiation techniques, few data exist on the error risks related to using surface-guided (SG) DIBH during breast radiation therapy (RT). Due to the increasingly technical nature of these methods and being a paradigm shift from traditional breast setups/treatments, the associated risk for error is high. Failure modes and effects analysis (FMEA) has been used in identifying risky RT processes yet is time-consuming to perform. A subset of RT staff and a hospital patient-safety representative performed FMEA to study SG-DIBH RT processes. After this group (cohort 1) analyzed these processes, additional scoring data were acquired from RT staff uninvolved in the original FMEA (cohort 2). Cohort 2 received abbreviated FMEA training while using the same process maps that cohort 1 had created, which was done with the goal of validating our results and exploring the feasibility of expedited FMEA training and efficient implementation elsewhere. An extensive review of the SG-DIBH RT process revealed 57 failure modes in 16 distinct steps. Risks deemed to have the highest priority, large risk priority number (RPN), and severity were addressed with policy changes, checklists, and standardization; of these, most were linked with operator error via manual inputs and verification. Reproducibility results showed that 5% of the average RPN between cohorts 1 and 2 was statistically different. Unexpected associations were noted between RPN and RT staff role; 12% of the physicist and therapist average scores were statistically different. Different levels of FMEA training yielded similar scoring within one RT department, suggesting a time-savings can be achieved with abbreviated training. Scores between professions, however, yielded significant differences suggesting the importance of involving staff across disciplines.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.