Evidence map›Paper›PMID 28410386›Full record

ArticlePloS one2017

Radiation dose reduction in pediatric great vessel stent computed tomography using iterative reconstruction: A phantom study.

Annemarie M den Harder, Dominika Suchá, Pieter J van Doormaal, Ricardo P J Budde, Pim A de Jong, Arnold M R Schilham, Johannes M P J Breur, Tim Leiner

Abstract read
In one paragraph

Article in PloS one, 2017. 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

8 authors.

Annemarie M den HarderDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-9679-396X
Dominika SucháDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Pieter J van DoormaalDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Ricardo P J BuddeDepartment of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Pim A de JongDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Arnold M R SchilhamDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Johannes M P J BreurDepartment of Pediatric Cardiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Tim LeinerDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo study dose reduction using iterative reconstruction (IR) for pediatric great vessel stent computed tomography (CT).

methodsFive different great vessel stents were separately placed in a gel-containing plastic holder within an anthropomorphic chest phantom. The stent lumen was filled with diluted contrast gel. CT acquisitions were performed at routine dose, 52% and 81% reduced dose and reconstructed with filtered back projection (FBP) and IR. Objective image quality in terms of noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) as well as subjective image quality were evaluated.

resultsNoise, SNR and CNR were improved with IR at routine and 52% reduced dose, compared to FBP at routine dose. The lowest dose level resulted in decreased objective image quality with both FBP and IR. Subjective image quality was excellent at all dose levels.

conclusionIR resulted in improved objective image quality at routine dose and 52% reduced dose, while objective image quality deteriorated at 81% reduced dose. Subjective image quality was not affected by dose reduction.

Indexed as

StentsTomography, X-Ray ComputedAlgorithmsChildHumansRadiation DosageRadiographic Image Interpretation, Computer-AssistedSignal-To-Noise Ratio

Identifiers

PMID28410386
PMCPMC5391930

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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.