Evidence map›Paper›PMID 34476780›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2022

Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification.

Jussi Schultz, Reetta Siekkinen, Mojtaba Jafari Tadi, Mika Teräs, Riku Klén, Eero Lehtonen, Antti Saraste, Jarmo Teuho

Abstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2022. 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
–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

6 citing papers in PubMed.

  1. Trial
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  6. Accurate quantification of myocardial perfusion.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    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.

Jussi SchultzTurku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, 20521, Turku, Finland.
Reetta SiekkinenTurku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, 20521, Turku, Finland.
Mojtaba Jafari TadiDepartment of Computing, University of Turku, Turku, Finland.
Mika TeräsDepartment of Medical Physics, Turku University Hospital, Turku, Finland.
Riku KlénTurku PET Centre, University of Turku, Turku, Finland.
Eero LehtonenDepartment of Computing, University of Turku, Turku, Finland.
Antti SarasteTurku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, 20521, Turku, Finland.
Jarmo TeuhoTurku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, 20521, Turku, Finland. jarmo.teuho@tyks.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDual-gating reduces respiratory and cardiac motion effects but increases noise. With motion correction, motion is minimized and image quality preserved. We applied motion correction to create end-diastolic respiratory motion corrected images from dual-gated images.

methods[

resultsMoCo-4D showed improvement for contrast ratio (2.83 vs 2.76), signal-to-noise ratio (27.5 vs 20.3) and contrast-to-noise ratio (14.5 vs 11.1) compared to dual-gating. The uptake difference between MoCo-4D and non-gated images was non-significant (P > .05) for the myocardium (2.06 vs 2.15 g/mL), but significant (P < .05) for the blood pool (.80 vs .86 g/mL). Non-gated images had the lowest coefficient of variation (27.3%), with significant increase for all other methods (31.6-32.5%). MoCo-4D showed smallest myocardial wall thickness (16.6 mm) with significant decrease compared to non-gated images (20.9 mm).

conclusionsEnd-diastolic respiratory motion correction and 4D-CT resulted in improved motion minimization and image quality over standard dual-gating.

Indexed as

Fluorodeoxyglucose F18Positron-Emission TomographyFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedMotionSignal-To-Noise RatioFluorodeoxyglucose F18

Identifiers

PMID34476780
PMCPMC9553777

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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.