ArticleJournal of applied clinical medical physics2021
An investigation of using log-file analysis for automated patient-specific quality assurance in MRgRT.
Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Impact of log file source and data frequency on accuracy of log file-based patient specific quality assurance.Zeitschrift fur medizinische Physik · 2025Article
- Adaptive Radiotherapy: Next-Generation Radiotherapy.Cancers · 2024Review
- Commissioning measurements on an Elekta Unity MR-Linac.Physical and engineering sciences in medicine · 2022Article
- Integration of an Independent Monitor Unit Check for High-Magnetic-Field MR-Guided Radiation Therapy System.Frontiers in oncology · 2022Article
- An investigation of using log-file analysis for automated patient-specific quality assurance in MRgRT.Journal of applied clinical medical physics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveAdaptive radiation therapy (ART) is an integral part of MR-guided RT (MRgRT), requiring a new RT plan for each treatment fraction and resulting in a significant increase in patient-specific quality assurance (PSQA). This study investigates the possibility of using treatment log-file for automated PSQA.
methodAll treatment plans were delivered in 1.5T Unity MR-Linac (Elekta). A Unity compatible version of LinacView (Standard Imaging) was commissioned to automatically monitor and analyze the log-files. A total of 220 fields were delivered and measured by ArcCheck
resultThe γ (3%, 3 mm) for the 190 plans were found to be between the range of 72.5%-100.0% and 95.4%-100.0% for ArcCheck
conclusionSignificant ranked correlation demonstrates the automated log-file analysis can be used for PSQA and expedite the ART workflow. Ongoing PSQA will be compared with log-file analysis to investigate the longer term reproducibility and correlation.
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Registered trials
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