Evidence map›Paper›PMID 34312979›Full record

ArticleJournal of applied clinical medical physics2021

Impact of four kVp combinations available in a dual-source CT on the spectral performance of abdominal imaging: A task-based image quality assessment on phantom data.

Joël Greffier, Julien Frandon, Alexandre Sadate, Philippe Akessoul, Asmaa Belaouni, Jean-Paul Beregi, Djamel Dabli

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Joël GreffierDepartment of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.
Julien FrandonDepartment of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.
Alexandre SadateDepartment of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.
Philippe AkessoulDepartment of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.
Asmaa BelaouniDepartment of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.
Jean-Paul BeregiDepartment of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.
Djamel DabliDepartment of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.
Centre Hospitalier Universitaire de Nîmes · FRUniversité de Nîmes · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the spectral performance of four combinations of kVp available in a third generation dual-source CT (DSCT) on abdominal imaging.

methodsAn image-quality phantom was scanned with a DSCT using four kVp pairs (tube "A" voltage/tube "B" voltage): 100/Sn150 kVp, 90/Sn150 kVp, 80/Sn150 kVp, and 70/Sn150 kVp, classic parameters and dose level for abdomen examination (CTDI

resultsNoise magnitude decreased by -55%± 0% between 40 and 70 keV for all kVp pairs. Compared to 70/Sn150 kVp, noise magnitude was increased by 9% ± 0% with 80/Sn150 kVp, by 16% ± 1% with 90/Sn150 kVp and by 24%± 1% with 100/Sn150 kVp. The average NPS spatial frequency (f

conclusion70/Sn150 kVp presented the lowest image noise and highest detectability in VMIs of two small focal liver lesions. 100/Sn150 kVp presented the lowest image noise on mixed images and highest accuracy of iodine quantification in iodine images.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAbdomenHumansPhantoms, ImagingSignal-To-Noise RatioTomography, X-Ray Computeddual-energy imagingdual-source CT scanspectral performancetask-based image quality assessmentvirtual monoenergetic images

Identifiers

PMID34312979
PMCPMC8364263
OpenAlexW3186094468

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Registered trials

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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.