Evidence map›Paper›PMID 31544170›Full record

ArticleEuropean journal of hybrid imaging2019

Simultaneous

Muhummad Sohaib Nazir, Sarah-May Gould, Xenios Milidonis, Eliana Reyes, Tevfik F Ismail, Radhouene Neji, Sébastien Roujol, Jim O'Doherty, Hui Xue, Sally F Barrington and 6 more

Open access · goldAbstract read
In one paragraph

Article in European journal of hybrid imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Guideline
  2. SimultaneousFrontiers in medicine · 2025
    Article
  3. Article
  4. Left ventricular function and volumes from gated [Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  5. Assessment of a digital and an analog PET/CT system for accurate myocardial perfusion imaging with a flow phantom.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  6. Assessment of left and right ventricular functional parameters using dynamic dual-tracer [Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  7. First-pass cardiac PET: Potentiality and limitations.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  8. 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

16 authors at 4 institutions in 3 countries.

Muhummad Sohaib Nazir1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.ORCID 0000-0003-2749-1033
Sarah-May Gould1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Xenios Milidonis1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Eliana Reyes1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Tevfik F Ismail1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Radhouene Neji1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Sébastien Roujol1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Jim O'Doherty1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Hui Xue3National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, MD USA.
Sally F Barrington1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Tobias Schaeffter1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Reza Razavi1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Paul Marsden1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Peter Kellman3National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, MD USA.
Sven Plein1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
Amedeo Chiribiri1Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK.
St Thomas' Hospital · GBNational Institutes of Health · USPhysikalisch-Technische Bundesanstalt · DEUniversity of Leeds · GB

Funding

Department of Health PB-PG-0416-20008Department of Health RP-2016-07-001Medical Research Council MR/P01979X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundPositron emission tomography (PET) is the non-invasive reference standard for myocardial blood flow (MBF) quantification. Hybrid PET-MR allows simultaneous PET and cardiac magnetic resonance (CMR) acquisition under identical experimental and physiological conditions. This study aimed to determine feasibility of simultaneous

methodsImages were acquired using a 3T hybrid PET-MR scanner. Phantom study: MBF was simulated at different physiological perfusion rates and a protocol for simultaneous PET-MR perfusion imaging was developed. Volunteer study: five healthy volunteers underwent adenosine stress.

resultsPhantom study: PET and CMR MBF measurements demonstrated high repeatability with intraclass coefficients 0.98 and 0.99, respectively. There was high correlation between PET and CMR MBF (

conclusionSimultaneous MBF quantification using hybrid PET-MR imaging is feasible with high test repeatability and good to moderate agreement between PET and CMR. Future studies in coronary artery disease patients may allow cross-validation of techniques.

Indexed as

Hybrid imagingMyocardial blood flowMyocardial perfusionPET-MR

Identifiers

PMID31544170
PMCPMC6718374
OpenAlexW2967044726

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.