Evidence map›Paper›PMID 30684262›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020

Coronary artery 18F-NaF PET analysis with the use of an elastic motion correction software.

Jamie W Bellinge, Kamran Majeed, Stuart S Carr, Judson Jones, Inki Hong, Roslyn J Francis, Carl J Schultz

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Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2020. 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
1.7field-weighted citation impact, top 16% 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, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Optimizing arterialJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  5. Advances in Quantitative Analysis ofMolecular imaging · 2021
    Review
  6. Atherosclerosis imaging withEuropean journal of nuclear medicine and molecular imaging · 2020
    Review
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.

Jamie W BellingeCardiology Department, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia. Jamie.Bellinge@health.wa.gov.au.
Kamran MajeedCardiology Department, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia.
Stuart S CarrSchool of Medicine, University of Western Australia, Crawley, WA, Australia.
Judson JonesMolecular Imaging, Siemens Medical Solutions USA, Inc., Knoxville, TN, USA.
Inki HongMolecular Imaging, Siemens Medical Solutions USA, Inc., Knoxville, TN, USA.
Roslyn J FrancisSchool of Medicine, University of Western Australia, Crawley, WA, Australia.
Carl J SchultzCardiology Department, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia.
University of Western Australia · AURoyal Perth Hospital · AUSir Charles Gairdner Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction18F-Sodium Fluoride Positron Emission Tomography (18F-NaF PET) is a novel molecular imaging modality with promise for use as a risk stratification tool in cardiovascular disease. There are limitations in the analysis of small and rapidly moving coronary arteries using traditional PET technology. We aimed to validate the use of a motion correction algorithm (eMoco) on coronary 18F-NaF PET outcome parameters.

methodsPatients admitted with an acute coronary syndrome underwent 18F-NaF PET and computed tomography coronary angiography. 18F-NaF PET data were analyzed using a diastolic reconstruction, an ungated reconstruction and the eMoco reconstruction.

resultsTwenty patients underwent 18F-NaF PET imaging and 17 patients had at least one positive lesion that could be used to compare PET reconstruction datasets. eMoco improved noise (the coefficient of variation of the blood pool radiotracer activity) compared to the diastolic dataset (0.09 [0.07 to 0.12] vs 0.14[0.11 to 0.17], p < .001) and marginally improved coronary lesion maximum tissue-to-background ratios compared to the ungated dataset (1.33 [1.05 to 1.48]vs 1.29 [1.04 to 1.40], p = .011).

conclusionIn this pilot dataset, the eMoco reconstruction algorithm for motion correction appears to have potential in improving coronary analysis of 18F-NaF PET by reducing noise and increasing maximum counts. Further testing in a larger patient dataset is warranted.

Indexed as

Fluorine RadioisotopesSodium FluorideAlgorithmsCoronary Artery DiseaseCoronary VesselsElasticityHumansImage Processing, Computer-AssistedMotionPositron-Emission TomographyProspective StudiesReproducibility of ResultsRiskRisk AssessmentSignal-To-Noise RatioSoftwareFluorine-18Fluorine RadioisotopesSodium FluorideCADImage reconstructionPET

Identifiers

PMID30684262
OpenAlexW2911266692

What OpenQuestion holds

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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.