Evidence map›Paper›PMID 37315100›Full record

ArticleJournal of medical radiation sciences2023

Implementation of a retrofit MRI simulator for radiation therapy planning.

Katelyn Cahill, Shermiyah Rienecker, Patrick O'Connor, Mark Denham, Francis Gibbons, David Willis, Dinesh Vignarajah, Nicole Buddle, Myo Min

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Katelyn CahillAdem Crosby Centre - Radiation Oncology, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.ORCID https://orcid.org/0000-0001-9371-3285
Shermiyah RieneckerBiomedical Technology Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Patrick O'ConnorAdem Crosby Centre - Radiation Oncology, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Mark DenhamDepartment of Medical Imaging, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Francis GibbonsAdem Crosby Centre - Radiation Oncology, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
David WillisAdem Crosby Centre - Radiation Oncology, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Dinesh VignarajahAdem Crosby Centre - Radiation Oncology, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Nicole BuddleAdem Crosby Centre - Radiation Oncology, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Myo MinAdem Crosby Centre - Radiation Oncology, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.

Funding

New Technology Funding Evaluation Program 2018
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is being integrated into routine radiation therapy (RT) planning workflows. To reap the benefits of this imaging modality, patient positioning, image acquisition parameters and a quality assurance programme must be considered for accurate use. This paper will report on the implementation of a retrofit MRI Simulator for RT planning, demonstrating an economical, resource efficient solution to improve the accuracy of MRI in this setting.

Indexed as

Radiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedHumansMagnetic Resonance Imagingdiscipline, simulationgeneralMRI simulationradiation therapy, applied technologyradiotherapy (radiation therapy)

Identifiers

PMID37315100
PMCPMC10715355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.