Evidence map›Paper›PMID 36502538›Full record

ArticleJournal of medical radiation sciences2023

Old dogs, new tricks: MR-Linac training and credentialing of radiation oncologists, radiation therapists and medical physicists.

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

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Optimising the MR-Linac as a standard treatment modality.Journal of medical radiation sciences · 2023
    Article
  3. 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 at 2 institutions in 1 country.

Louise HoganGenesisCare, Alexandria, New South Wales, Australia.
Michael JamesonGenesisCare, Alexandria, New South Wales, Australia.
David CrawfordGenesisCare, Alexandria, New South Wales, Australia.
Stacy AlvaresGenesisCare, Alexandria, New South Wales, Australia.
Conrad LooGenesisCare, Alexandria, New South Wales, Australia.
Maddison PictonGenesisCare, Alexandria, New South Wales, Australia.
Zoe MoutrieGenesisCare, Alexandria, New South Wales, Australia.
Claire PagulayanGenesisCare, Alexandria, New South Wales, Australia.
Ursula JelenGenesisCare, 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
Australian and New Zealand Intensive Care Society · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of magnetic resonance (MR) linear accelerators (MR-Linacs) into radiotherapy departments has increased in recent years owing to its unique advantages including the ability to deliver online adaptive radiotherapy. However, most radiation oncology professionals are not accustomed to working with MR technology. The integration of an MR-Linac into routine practice requires many considerations including MR safety, MR image acquisition and optimisation, image interpretation and adaptive radiotherapy strategies. This article provides an overview of training and credentialing requirements for radiation oncology professionals to develop competency and efficiency in delivering treatment safely on an MR-Linac.

Indexed as

Radiation OncologistsRadiotherapy, Image-GuidedCredentialingHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyParticle AcceleratorsRadiotherapy Planning, Computer-Assisted

Identifiers

PMID36502538
PMCPMC10122927
OpenAlexW4311114806

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.