ArticlePhysics and imaging in radiation oncology2022
Identifying risk characteristics using failure mode and effect analysis for risk management in online magnetic resonance-guided adaptive radiation therapy.
Article in Physics and imaging in radiation oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Failure modes and effects analysis for clinical implementation of online adaptive radiotherapy: A systematic review.Journal of applied clinical medical physics · 2026Pooled it
- Systematic review of prospective hazard analysis in radiation therapy.Medical physics · 2025Pooled it
- Clinical indicators for dose re-optimization in magnetic resonance-guided online adaptive radiotherapy for prostate cancer.Physics and imaging in radiation oncology · 2026Article
- Personalised medicine through AI-enhanced integration of diagnostic imaging and radiation therapy.European radiology experimental · 2025Review
- Systems-theoretic process analysis of a CT-guided online adaptive radiation therapy system in a multi-vendor environment.Journal of applied clinical medical physics · 2025Article
- Multicentre prospective risk analysis of a fully automated radiotherapy workflow.Physics and imaging 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
- Clinical effects of re-evaluating a lung SBRT failure mode and effects analysis in a radiotherapy department.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- Mitigating Risks in Cone Beam Computed Tomography Guided Online Adaptive Radiation Therapy: A Preventative Reference Planning Review Approach.Advances in radiation oncology · 2024Article
- Process mapping with failure mode and effects analysis to identify determinants of implementation in healthcare settings: a guide.Implementation science communications · 2024Article
- Analysis of human errors in the operation of various treatment planning systems over a 10-year period.Journal of radiation research · 2024Article
- Multi-institutional questionnaire-based survey on online adaptive radiotherapy performed using commercial systems in Japan in 2023.Radiological physics and technology · 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
- Optimization of treatment workflow for 0.35T MR-Linac system.Journal of applied clinical medical physics · 2024Article
- Prospective risk analysis of the online-adaptive artificial intelligence-driven workflow using the Ethos treatment system.Zeitschrift fur medizinische Physik · 2024Article
- Safety and efficiency of a fully automatic workflow for auto-segmentation in radiotherapy using three commercially available deep learning-based applications.Physics and imaging in radiation oncology · 2024Article
- Mitigation of Intensity Modulated Radiation Therapy and Stereotactic Body Radiation Therapy Treatment Planning Errors on the Novel RefleXion X1 System Using Failure Mode and Effect Analysis Within Six Sigma Framework.Advances in radiation oncologyArticle
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: Online magnetic resonance-guided adaptive radiotherapy (MRgART) is a new technology of radiotherapy and requires a new quality control program in many aspects. This study aimed to gain a deeper understanding of risks in online MRgART through the application of failure mode and effect analysis (FMEA) for more enhanced and effective quality assurance (QA) programs. Materials and methods: We present an FMEA conducted by a multidisciplinary team with more than two years of experience. A process map describing the whole process of online MRgART was developed and potential failure modes were identified. High-risk failure modes and their potential causes and corrective measures were also identified. Failure modes were classified into three categories, MRgRT, online ART, and conventional RT, to investigate their features. A comparison with previous studies was also conducted to gain a general perspective. Results: In total, 153 failure modes and 49 high risks were identified. Among all failure modes, 51, 63, and 66 were related to MRgRT, online ART, and conventional RT, respectively. The hazardous processes were structure segmentation, treatment planning, and treatment beam delivery. Lists of failure modes identified in this study and previous studies were presented. Based on the results, characteristics and general aspects of the risks were discussed. Conclusion: Exploring the results of the FMEA enhanced our understanding of risk characteristics to improve QA program of online MRgART.
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