ArticlePhysics and imaging in radiation oncology2021
Automatic 3D Monte-Carlo-based secondary dose calculation for online verification of 1.5 T magnetic resonance imaging guided radiotherapy.
Article in Physics and imaging in radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 17 citations in OpenAlex.
- Feasibility of Monte Carlo-based patient-specific quality assurance in 1.5 Tesla magnetic resonance-guided online adaptive radiotherapy: a multi-institutional study.Physics and imaging in radiation oncology · 2025Article
- Evaluating the effect of higher Monte Carlo statistical uncertainties on accumulated doses after daily adaptive fractionated radiotherapy in prostate cancer.Physics and imaging in radiation oncology · 2024Article
- The performance of a new type accelerator uRT-linac 506c evaluated by a quality assurance automation system.Journal of applied clinical medical physics · 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
- An independent Monte Carlo-based IMRT QA tool for a 0.35 T MRI-guided linear accelerator.Journal of applied clinical medical physics · 2023Article
- First Experience and Prospective Evaluation on Feasibility and Acute Toxicity of Online Adaptive Radiotherapy of the Prostate Bed as Salvage Treatment in Patients with Biochemically Recurrent Prostate Cancer on a 1.5T MR-Linac.Journal of clinical medicine · 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
- Magnetic-Field-Induced Secondary-Electron Effects in MR-Guided Radiotherapy: From Dosimetric Mechanisms to Workflow-Based Clinical Risk Management.Technology in cancer research & treatmentReview
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Authors and funding
6 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
background and purposeHybrid magnetic resonance linear accelerator (MR-Linac) systems represent a novel technology for online adaptive radiotherapy. 3D secondary dose calculation (SDC) of online adapted plans is required to assure patient safety. Currently, no 3D-SDC solution is available for 1.5T MR-Linac systems. Therefore, the aim of this project was to develop and validate a method for online automatic 3D-SDC for adaptive MR-Linac treatments. MATERIALS AND
methodsAn accelerator head model was designed for an 1.5T MR-Linac system, neglecting the magnetic field. The use of this model for online 3D-SDC of MR-Linac plans was validated in a three-step process: (1) comparison to measured beam data, (2) investigation of performance and limitations in a planning phantom and (3) clinical validation using n = 100 patient plans from different tumor entities, comparing the developed 3D-SDC with experimental plan QA.
resultsThe developed model showed median gamma passing rates compared to MR-Linac base data of 84.7%, 100% and 99.1% for crossplane, inplane and depth-dose-profiles, respectively. Comparison of 3D-SDC and full dose calculation in a planning phantom revealed that with
conclusionHere, we describe the first technical 3D-SDC solution for online adaptive MR-guided radiotherapy. For clinical situations with peripheral targets and a small number of beams additional verification appears necessary. Further improvement may include 3D-SDC with consideration of the magnetic field.
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