Evidence map›Paper›PMID 31621206›Full record

ArticleJournal of medical radiation sciences2020

Effect of patient size on image quality in radiotherapy kV planar verification imaging: a phantom study.

Sara Chan, Eileen Giles, Lyndal Newmarch, Michala Short

Open access · goldAbstract read
In one paragraph

Article in Journal of medical radiation sciences, 2020. 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, top 82% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Sara ChanCentre for Translational Cancer Research, UniSA Cancer Research Institute and School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia.
Eileen GilesCentre for Translational Cancer Research, UniSA Cancer Research Institute and School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia.
Lyndal NewmarchDepartment of Radiation Oncology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Michala ShortCentre for Translational Cancer Research, UniSA Cancer Research Institute and School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0003-2249-3419
Royal Adelaide Hospital · AUUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to determine a maximal pelvic separation and waist circumference in pelvic patients to guide radiation therapists in acquiring kilovoltage (kV) planar images of acceptable quality for treatment verification.

methodsA pelvic anthropomorphic phantom modified with different bolus thicknesses was imaged at various default kV exposure settings. Radiation therapists rated image quality and acceptance/rejection of these images for treatment verification.

resultsSixteen radiation therapists participated in the study. Image quality was inversely proportional to phantom size. AP and lateral kV images were acceptable for treatment verification up to a waist circumference of 143 cm.

conclusionsExposure settings for kV image verification of large patients should be individualised to avoid unnecessary patient radiation dose through repeated imaging.

Indexed as

Waist CircumferenceFemaleHumansMaleObserver VariationPelvisPhantoms, ImagingRadiotherapy, Image-GuidedReproducibility of ResultsTomography, X-Ray Computedimage-guided radiotherapyimage interpretationphantomswaist circumference

Identifiers

PMID31621206
PMCPMC7063253
OpenAlexW2980572923

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.