Evidence map›Paper›PMID 25306543›Full record

ArticleJACC. Cardiovascular imaging2014

Quantification of myocardial blood flow in absolute terms using (82)Rb PET imaging: the RUBY-10 Study.

Sergey V Nesterov, Emmanuel Deshayes, Roberto Sciagrà, Leonardo Settimo, Jerome M Declerck, Xiao-Bo Pan, Keiichiro Yoshinaga, Chietsugu Katoh, Piotr J Slomka, Guido Germano and 14 more

Registry-linked trialAbstract readComparative StudyMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Cardiovascular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03895554 (Quantification of Myocardial Blood Flow by Positron Emission Tomography in Healthy Volunteers), which is not on this map. Cited by 101 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 3 pooled it
–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.

NCT03895554 unknown statusnot on this mapstarted 2019, after this paper: background citation

Quantification of Myocardial Blood Flow by Positron Emission Tomography in Healthy Volunteers

TypeobservationalSponsorOchsner Health SystemRan2019 to 2019Enrolled20ConditionsNormal Healthy Volunteers Without Chronic Medical ConditionsArmscardiac PET stress test
3 · Its place in the literature

Who cites it

101 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Comparison of diagnostic accuracy of PET-derived myocardial blood flow parameters: A meta-analysis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Pooled it
  3. Pooled it
  4. Consistent tracer administration profile improves test-retest repeatability of myocardial blood flow quantification withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Trial
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  11. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025
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  18. Coronary vascular dysfunction is associated with increased risk of death in patients with peripheral artery disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  19. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  20. Article

41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Sergey V Nesterov *Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Emmanuel Deshayes *Lausanne University Hospital, Lausanne, Switzerland.
Roberto SciagràUniversity of Florence, Florence, Italy.
Leonardo SettimoUniversity of Florence, Florence, Italy.
Jerome M DeclerckSiemens Molecular Imaging, Oxford, United Kingdom.
Xiao-Bo PanSiemens Molecular Imaging, Oxford, United Kingdom.
Keiichiro YoshinagaHokkaido University Graduate School of Medicine, Sapporo, Japan.
Chietsugu KatohHokkaido University Graduate School of Medicine, Sapporo, Japan.
Piotr J SlomkaCedars-Sinai Medical Center, Los Angeles, California, United States.
Guido GermanoCedars-Sinai Medical Center, Los Angeles, California, United States.
Chunlei HanTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Ville AaltoTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Adam M AlessioUniversity of Washington, Seattle, Washington, United States.
Edward P FicaroUniversity of Michigan Health Systems, Ann Arbor, Michigan, United States.
Benjamin C LeeINVIA Medical Imaging Solutions, Ann Arbor, Michigan, United States.
Stephan G NekollaDepartment of Nuclear Medicine, Technical University, Munich, Germany.
Kilem L GwetAdvanced Analytics LLC, Gaithersburg, Maryland, United States.
Robert A deKempNational Cardiac PET Center, University of Ottawa Heart Institute, Ottawa, Canada.
Ran KleinNational Cardiac PET Center, University of Ottawa Heart Institute, Ottawa, Canada.
John DicksonUniversity College London, London, United Kingdom.
James A CaseCardiovascular Imaging Technologies, Kansas City, Missouri, United States.
Timothy BatemanCardiovascular Imaging Technologies, Kansas City, Missouri, United States.
John O Prior *Lausanne University Hospital, Lausanne, Switzerland.
Juhani M Knuuti *Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.

Funding

Low-dose Myocardial Perfusion Imaging by CTR01HL109327 · NHLBI · UNIVERSITY OF WASHINGTON · PI ALESSIO, ADAM M · 2012 to 2017
$2.2M
Quantitative Cardiac PET/CT ImagingK25HL086713 · NHLBI · UNIVERSITY OF WASHINGTON · PI ALESSIO, ADAM M · 2007 to 2011
$567k
NHLBI NIH HHS K25 HL086713NHLBI NIH HHS K25-HL086713NHLBI NIH HHS R01 HL109327
6 · The paper itself

Abstract

objectivesThe purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography ((82)Rb PET) data using 10 software packages (SPs) based on 8 tracer kinetic models.

backgroundIt is unknown how MBF and MFR values from existing SPs agree for (82)Rb PET.

methodsRest and stress (82)Rb PET scans of 48 patients with suspected or known coronary artery disease were analyzed in 10 centers. Each center used 1 of 10 SPs to analyze global and regional MBF using the different kinetic models implemented. Values were considered to agree if they simultaneously had an intraclass correlation coefficient >0.75 and a difference <20% of the median across all programs.

resultsThe most common model evaluated was the Ottawa Heart Institute 1-tissue compartment model (OHI-1-TCM). MBF values from 7 of 8 SPs implementing this model agreed best. Values from 2 other models (alternative 1-TCM and Axially distributed) also agreed well, with occasional differences. The MBF results from other models (e.g., 2-TCM and retention) were less in agreement with values from OHI-1-TCM.

conclusionsSPs using the most common kinetic model-OHI-1-TCM-provided consistent results in measuring global and regional MBF values, suggesting that they may be used interchangeably to process data acquired with a common imaging protocol.

Indexed as

RadiopharmaceuticalsRubidium RadioisotopesAdultAgedAged, 80 and overCoronary Artery DiseaseEuropeFemaleHemodynamicsHumansImage Interpretation, Computer-AssistedJapanMaleMiddle AgedModels, CardiovascularMyocardial Perfusion ImagingRadiopharmaceuticalsRubidium RadioisotopesCADimaging softwarePETreproducibilityrubidium-82

Identifiers

PMID25306543
PMCPMC4260449

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Registered trials

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.