Evidence map›Paper›PMID 36572532›Full record

ArticleJournal of medical radiation sciences2023

Introduction of radiation therapist-led adaptive treatments on a 1.5 T MR-Linac.

Maddison Picton, David Crawford, Michael Jameson, Stacy Alvares, Louise Hogan, Conrad Loo, Zoe Moutrie, Urszula Jelen, Claire Pagulayan, Nicolle Dunkerley and 3 more

Abstract read
In one paragraph

Article in Journal of medical radiation sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Training for tomorrow: Establishing a worldwide curriculum in online adaptive radiation therapy.Technical innovations & patient support in radiation oncology · 2025
    Article
  5. Optimising the MR-Linac as a standard treatment modality.Journal of medical radiation sciences · 2023
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Maddison PictonGenesisCare, Alexandria, New South Wales, Australia.
David CrawfordGenesisCare, Alexandria, New South Wales, Australia.
Michael JamesonGenesisCare, Alexandria, New South Wales, Australia.
Stacy AlvaresGenesisCare, Alexandria, New South Wales, Australia.
Louise HoganGenesisCare, Alexandria, New South Wales, Australia.
Conrad LooGenesisCare, Alexandria, New South Wales, Australia.
Zoe MoutrieGenesisCare, Alexandria, New South Wales, Australia.
Urszula JelenGenesisCare, Alexandria, New South Wales, Australia.
Claire PagulayanGenesisCare, Alexandria, New South Wales, Australia.
Nicolle DunkerleyGenesisCare, Alexandria, New South Wales, Australia.
Tania TwentymanGenesisCare, Alexandria, New South Wales, Australia.
Jeremy de LeonGenesisCare, Alexandria, New South Wales, Australia.
Vikneswary BatumalaiGenesisCare, Alexandria, New South Wales, Australia.ORCID https://orcid.org/0000-0003-2021-2599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of magnetic resonance (MR) linear accelerators (MR-Linac) marks the beginning of a new era in radiotherapy. MR-Linac systems are currently being operated by teams of radiation therapists (RTs), radiation oncology medical physicists (ROMPs) and radiation oncologists (ROs) due to the diverse and complex tasks required to deliver treatment. This is resource-intensive and logistically challenging. RT-led service delivery at the treatment console is paramount to simplify the process and make the best use of this technology for suitable patients with commonly treated anatomical sites. This article will discuss the experiences of our department in developing and implementing an RT-led workflow on the 1.5 T MR-Linac.

Indexed as

Radiation OncologyRadiotherapy, Image-GuidedHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyRadiotherapy Planning, Computer-Assisted

Identifiers

PMID36572532
PMCPMC10122921

What OpenQuestion holds

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Registered trials

None linked

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.