ReviewMedical physics2021
Machine QA for the Elekta Unity system: A Report from the Elekta MR-linac consortium.
Review in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 92 citations in OpenAlex.
- AAPM-RSS Medical Physics Practice Guideline 9.b: SRS-SBRT.Journal of applied clinical medical physics · 2025Guideline
- Clinical application of MR-Linac in tumor radiotherapy: a systematic review.Radiation oncology (London, England) · 2023Pooled it
- ACPSEM position paper: dosimetry for magnetic resonance imaging linear accelerators.Physical and engineering sciences in medicine · 2023Guideline
- Performance evaluation of a visual guidance patient-controlled respiratory gating system for respiratory-gated magnetic-resonance image-guided radiation therapy.Physical and engineering sciences in medicine · 2022Trial
- ACPSEM guideline: commissioning and quality assurance of Magnetic Resonance Imaging Linear Accelerators.Physical and engineering sciences in medicine · 2026Article
- Clinical implementation and performance evaluation of a motorized MR-compatible OCTAVIUS 4D system for SBRT patient-specific QA on a 1.5 T MR-LINAC.Journal of applied clinical medical physics · 2026Article
- Evaluation of QUASAR Insight Phantom for daily imaging QA of MRgRT linacs.Journal of applied clinical medical physics · 2026Article
- X-ray beam quality checks of a magnetic resonance-guided linear accelerator with its on-board megavoltage imager.Physics and imaging in radiation oncology · 2026Article
- Identification and mitigation of unexplained dose attenuation caused by sub-table water accumulation in an MR-Linac (Elekta Unity).Journal of applied clinical medical physics · 2026Article
- Feasibility of segmental total body irradiation (SegTBI) using a 1.5T MR-linac.Journal of applied clinical medical physics · 2025Article
- Long-term performance evaluation of a 1.5T MR-Linac using statistical process control techniques.Radiation oncology (London, England) · 2025Article
- Quality assurance and temporal stability of a 1.5 T MRI scanner for MR-guided Photon and Particle Therapy.Zeitschrift fur medizinische Physik · 2025Article
- Multi-institutional questionnaire-based survey on online adaptive radiotherapy performed using commercial systems in Japan in 2023.Radiological physics and technology · 2024Article
- MR-linac MLC positioning QA by digitally stitching dual double-exposed films.Journal of applied clinical medical physics · 2024Article
- Measurement and Incorporation of Laryngeal Motion Using cine-MRI on an MR-Linear Accelerator to Generate Radiation Therapy Plans for Early-stage Squamous Cell Cancers of the Glottis.Advances in radiation oncology · 2024Article
- Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy.Zeitschrift fur medizinische Physik · 2024Article
- A virtual phantom for patient-specific QA On A 1.5T MR-linac.Journal of applied clinical medical physics · 2024Article
- Technical note: A simple method for patient-specific quality assurance for lateral targets on a 1.5 T MR-Linac.Journal of applied clinical medical physics · 2024Article
- Characterization of spatial integrity with active and passive implants in a low-field magnetic resonance linear accelerator scanner.Physics and imaging in radiation oncology · 2024Article
- MR compatible detectors assessment for a 0.35 T MR-linac commissioning.Radiation oncology (London, England) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 11 institutions in 5 countries.
Funding
Abstract
Over the last few years, magnetic resonance image-guided radiotherapy systems have been introduced into the clinic, allowing for daily online plan adaption. While quality assurance (QA) is similar to conventional radiotherapy systems, there is a need to introduce or modify measurement techniques. As yet, there is no consensus guidance on the QA equipment and test requirements for such systems. Therefore, this report provides an overview of QA equipment and techniques for mechanical, dosimetric, and imaging performance of such systems and recommendation of the QA procedures, particularly for a 1.5T MR-linac device. An overview of the system design and considerations for QA measurements, particularly the effect of the machine geometry and magnetic field on the radiation beam measurements is given. The effect of the magnetic field on measurement equipment and methods is reviewed to provide a foundation for interpreting measurement results and devising appropriate methods. And lastly, a consensus overview of recommended QA, appropriate methods, and tolerances is provided based on conventional QA protocols. The aim of this consensus work was to provide a foundation for QA protocols, comparative studies of system performance, and for future development of QA protocols and measurement methods.
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What OpenQuestion holds
Registered trials
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.