Evidence map›Paper›PMID 29642199›Full record

Trial reportMedicine2018

Extent of simultaneous radiation dose and iodine reduction at stable image quality in computed tomography of the chest: A systematic approach using automated tube voltage adaption and iterative reconstructions.

Achim Eller, Wolfgang Wuest, Marc Saake, Stephan Ellmann, Nadine Kaemmerer, Matthias Hammon, Rolf Janka, Michael Uder, Matthias Stefan May

Open access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Achim EllerDepartment of Radiology, University Hospital Erlangen, Maximiliansplatz 3 Imaging Science Institute, Ulmenweg 18, Erlangen, Germany.
Wolfgang Wuest
Marc Saake
Stephan Ellmann
Nadine Kaemmerer
Matthias Hammon
Rolf Janka
Michael Uder
Matthias Stefan May
Universitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAim of this study was to systematically combine tube voltage adaptation and iterative reconstructions for reduction of iodine and radiation dose.

methodsSettings for the study protocol were evaluated in ex-ante trials to provide image quality that is comparable to a reference protocol at 120 kV with tube current modulation. Consecutive patients were randomized to undergo computed tomography (CT) of the chest using the study protocol (n = 62) or reference protocol (n = 50). Objective and subjective image quality was assessed and compared.

resultsTube voltage was decreased to 100 kV in 47 patients and to 80 kV in 15 patients in the study group. The iodine dosage (16.1 vs 10.5 g) and the effective radiation dose (3.6 vs 2.5 mSv) were significantly decreased in the study group (both P < .001). Contrast-to-noise ratio was comparable in the pulmonary trunk and increased in the aorta (P < .01). Subjective image quality was comparable without statistically significance.

conclusionsSimultaneous reductions in iodine dosage and radiation dose by one-third are feasible for CT of the chest.

Indexed as

Contrast MediaIodineRadiation DosageAdultAgedAged, 80 and overAlgorithmsDouble-Blind MethodFemaleHumansMaleMiddle AgedPhantoms, ImagingProspective StudiesRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedContrast MediaIodine

Identifiers

PMID29642199
PMCPMC5908636
OpenAlexW2804178369

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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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.