ArticleZeitschrift fur medizinische Physik2024
Prospective risk analysis of the online-adaptive artificial intelligence-driven workflow using the Ethos treatment system.
Article in Zeitschrift fur medizinische Physik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 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
- HyperSight CBCT dose calculation accuracy for adaptive head and neck radiotherapy: Results from a prospective clinical trial.Medical physics · 2026Trial
- HyperSight CBCT image quality and metal artifact reduction for adaptive head and neck radiotherapy: Results from a prospective clinical trial.Journal of applied clinical medical physics · 2025Trial
- A group-based hands-on seminar for teaching failure mode and effects analysis in CyberKnife stereotactic radiotherapy.Journal of applied clinical medical physics · 2026Article
- Initial experience of clinical implementation of an Online Simulation-free CBCT-based Adaptive Radiotherapy (OSCAR) workflow for palliative and urgent treatment indications.Journal of applied clinical medical physics · 2026Article
- 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
- Systematizing the risk management process in clinical radiotherapy practice: Recommendations of the working group on risk management of the DGMP.Zeitschrift fur medizinische Physik · 2025Article
- Enhancing clinical safety in radiation oncology: A data-driven approach to risk management.Zeitschrift fur medizinische Physik · 2025Article
- Optimizing Treatment Precision: Role of Adaptive Radiotherapy in Modern Anal Cancer Management.Cancers · 2025Review
- Longitudinal stability of HyperSightScientific reports · 2025Article
- Article
- Body contour adaptation for weight-loss and bolus for head and neck radiotherapy on Ethos version 2.0 and HyperSight: Synthetic CT versus direct calculation.Journal of applied clinical medical physics · 2025Article
- Mitigating Risks in Cone Beam Computed Tomography Guided Online Adaptive Radiation Therapy: A Preventative Reference Planning Review Approach.Advances in radiation oncology · 2024Article
- Improving the safety of radiotherapy treatment processes via incident-driven FMEA feedback loops.Journal of applied clinical medical physics · 2024Article
- Re-evaluation of the prospective risk analysis for artificial-intelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of clinical experience.Zeitschrift fur medizinische Physik · 2024Article
- Risk management in radiation-based therapies.Zeitschrift fur medizinische Physik · 2024Article
- Enhancing Safety in AI-Driven Cone Beam CT-based Online Adaptive Radiation Therapy: Development and Implementation of an Interdisciplinary Workflow.Advances in radiation oncology · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe recently introduced Varian Ethos system allows adjusting radiotherapy treatment plans to anatomical changes on a daily basis. The system uses artificial intelligence to speed up the process of creating adapted plans, comes with its own software solutions and requires a substantially different workflow. A detailed analysis of possible risks of the associated workflow is presented.
methodsA prospective risk analysis of the adaptive workflow with the Ethos system was performed using Failure Modes and Effects Analysis (FMEA). An interprofessional team collected possible adverse events and evaluated their severity as well as their chance of occurrence and detectability. Measures to reduce the risks were discussed.
resultsA total of 122 events were identified, and scored. Within the 20 events with the highest-ranked risks, the following were identified: Challenges due to the stand-alone software solution with very limited connectivity to the existing record and verify software and digital patient file, unfamiliarity with the new software and its limitations and the adaption process relying on results obtained by artificial intelligence. The risk analysis led to the implementation of additional quality assurance measures in the workflow.
conclusionsThe thorough analysis of the risks associated with the new treatment technique was the basis for designing details of the workflow. The analysis also revealed challenges to be addressed by both, the vendor and customers. On the vendor side, this includes improving communication between their different software solutions. On the customer side, this especially includes establishing validation strategies to monitor the results of the black box adaption process making use of artificial intelligence.
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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.