Evidence map›Paper›PMID 25698470›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2016

Linear relation between spirometric volume and the motion of cardiac structures: MRI and clinical PET study.

Tommi Kokki, Riku Klén, Tommi Noponen, Jussi Pärkkä, Virva Saunavaara, Erika Hoppela, Mika Teräs, Juhani Knuuti

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Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2016. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Imaging moving heart structures with PET.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Tommi KokkiTurku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland. toolko@utu.fi.
Riku KlénTurku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland.
Tommi NoponenTurku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland.
Jussi PärkkäTurku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland.
Virva SaunavaaraTurku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland.
Erika HoppelaTurku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland.
Mika TeräsTurku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland.
Juhani KnuutiTurku PET Centre, University of Turku and Turku University Hospital, PO BOX 52, 20521, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn cardiac PET, CT, and MRI respiration is major reason for impaired image quality of small targets such as coronary arteries. Strong correlations between heart motion and respiratory signals have been detected but quantitative relation between signals and motion of cardiac structures in MRI or PET is not reported .

methodsRelation between spirometric lung volume or pressure belt signal and motion of coronary vessels in MRI was studied on nine healthy volunteers. Spirometry was further applied to (18)F-FDG cardiac PET study to determine quantitative relation between volume change and motion of center of myocardium activity (CMA) on nine CAD patients.

resultsCorrelation coefficients (CC) between vessel motions and volume or pressure changes were 0.90-0.92 or 0.86-0.84, respectively. The linear equations based on volume or pressure changes derived 2.0-2.6 or 2.9-3.3 mm mean estimation error for vessel motions. In PET CC value of 0.93 was determined between volume changes and CMA motions. The linear equation based on volume change derived maximum estimation error of 2.5 mm for CMA motion.

conclusionThe spirometric volume change linearly estimates motion of myocardium in PET with good accuracy and have potential to guide selection of optimal number of respiratory gates in cardiac PET.

Indexed as

Breath HoldingLinear ModelsAdultArtifactsCardiac Imaging TechniquesComputer SimulationCoronary VesselsFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMiddle AgedModels, CardiovascularMotionReproducibility of ResultsCardiacmotionMRIPETrespiration

Identifiers

PMID25698470

What OpenQuestion holds

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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.