ArticleJournal of applied clinical medical physics2022
Quality assurance for on-table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine.
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 13 papers.
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Who cites it
13 citing papers in PubMed.
- Evaluating the role of plan complexity metrics in online adaptive radiotherapy for pancreatic cancer patients.Medical physics · 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
- Mitigating Risks in Cone Beam Computed Tomography Guided Online Adaptive Radiation Therapy: A Preventative Reference Planning Review Approach.Advances in radiation oncology · 2024Article
- Enhancing patient safety in radiotherapy: Implementation of a customized electronic checklist for radiation therapists.Technical innovations & patient support in radiation oncology · 2024Article
- A body mass index-based method for "MR-only" abdominal MR-guided adaptive radiotherapy.Zeitschrift fur medizinische Physik · 2024Article
- Feasibility and Acute Toxicity of Hypo-Fractionated Radiotherapy on 0.35T MR-LINAC: The First Prospective Study in Spain.Cancers · 2024Article
- Dosimetric benefit of online treatment plan adaptation in stereotactic ultrahypofractionated MR-guided radiotherapy for localized prostate cancer.Frontiers in oncology · 2024Article
- Online adaptive radiotherapy and dose delivery accuracy: A retrospective analysis.Journal of applied clinical medical physics · 2023Article
- Leaf-individual calibration for a double stack multileaf collimator in photon radiotherapy.Physics and imaging in radiation oncology · 2023Article
- Risk management patterns in radiation oncology-results of a national survey within the framework of the Patient Safety in German Radiation Oncology (PaSaGeRO) project.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Article
- Clinical rationale forPhysics and imaging in radiation oncology · 2022Article
- Quality assurance for on-table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine.Journal of applied clinical medical physics · 2022Article
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Authors and funding
8 authors.
Funding
Abstract
Online adaption of treatment plans on a magnetic resonance (MR)-Linac enables the daily creation of new (adapted) treatment plans using current anatomical information of the patient as seen on MR images. Plan quality assurance (QA) relies on a secondary dose calculation (SDC) that is required because a pretreatment measurement is impossible during the adaptive workflow. However, failure mode and effect analysis of the adaptive planning process shows a large number of error sources, and not all of them are covered by SDC. As the complex multidisciplinary adaption process takes place under time pressure, additional software solutions for pretreatment per-fraction QA need to be used. It is essential to double-check SDC input to ensure a safe treatment delivery. Here, we present an automated treatment plan check tool for adaptive radiotherapy (APART) at a 0.35 T MR-Linac. It is designed to complement the manufacturer-provided adaptive QA tool comprising SDC. Checks performed by APART include contour analysis, electron density map examinations, and fluence modulation complexity controls. For nine of 362 adapted fractions (2.5%), irregularities regarding missing slices in target volumes and organs at risks as well as in margin expansion of target volumes have been found. This demonstrates that mistakes occur and can be detected by additional QA measures, especially contour analysis. Therefore, it is recommended to implement further QA tools additional to what the manufacturer provides to facilitate an informed decision about the quality of the treatment plan.
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