Evidence map›Paper›PMID 30574676›Full record

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

Head-to-head comparison of the diagnostic performances of Rubidium-PET and SPECT with CZT camera for the detection of myocardial ischemia in a population of women and overweight individuals.

Fabien Hyafil, Renata Chequer, Emmanuel Sorbets, Candice Estellat, Gregory Ducrocq, François Rouzet, Toni Alfaiate, Hamza Regaieg, Jérémie Abtan, Sébastien Leygnac and 13 more

Registry-linked trialAbstract readComparative Study
PubMed Publisher
In one paragraph

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. It is linked to trial NCT07708805 (Quantitative Myocardial Perfusion Imaging Assessment by SPECT/CT), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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.

NCT07708805 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Quantitative Myocardial Perfusion Imaging Assessment by SPECT/CT: Evaluation of Standardized Uptake Value (SUV) and Correlation With Myocardial Flow Reserve (MFR) Assessed by PET/CT

TypeinterventionalSponsorCentre Hospitalier Régional d'OrléansRan2026 to 2027Enrolled30ConditionsCoronary Artery Disease, Chronic Coronary SyndromeArmsstress SPECT/CT, rest SPECT/CT
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Improved assessment of coronary artery disease in obese patients with flurpiridaz-Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2026
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Beyond equality, women require extra care in cardiovascular imaging.European journal of nuclear medicine and molecular imaging · 2022
    Article
  7. Imaging of heart disease in women: review and case presentation.European journal of nuclear medicine and molecular imaging · 2022
    Review
  8. Myocardial blood flow quantitation with the SPECT technique: Where do we stand?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  9. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2020: positron emission tomography, computed tomography, and magnetic resonance.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Review
  10. Myocardial perfusion imaging in overweight patients and women: Is it CZT good enough?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 7 institutions in 1 country.

Fabien HyafilDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France. fabien.hyafil@aphp.fr.
Renata ChequerDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Emmanuel SorbetsDepartment of Cardiology, Avicenne University Hospital, AP-HP, University Paris 13, 9300, Bobigny, France.
Candice EstellatDépartement de Biostatistiques, Hôpital Pitié-Salpêtrière, AP-HP, Santé Publique et Informatique Médicale, 75013, Paris, France.
Gregory DucrocqINSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.
François RouzetDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Toni AlfaiateDépartement d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France.
Hamza RegaiegDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Jérémie AbtanDepartment of Cardiology, Bichat University Hospital, AP-HP, 75018, Paris, France.
Sébastien LeygnacDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Milan MillinerDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Laetitia ImbertDepartment of Nuclear Medicine, Brambois University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France.
Samuel BurgDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Rana Ben AzzounaDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Louis PotierDepartment of Diabetology, DHU FIRE, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Cédric LaouénanDépartement d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France.
Caroline QuintinDépartement d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France.
Ronan RousselDepartment of Diabetology, DHU FIRE, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Agnès HartemannDepartment of Diabetology, Pitié-Salpétriêre University Hospital, AP-HP, Sorbonne University Paris 6, 75006, Paris, France.
Gilles MontalescotACTION Study Group, Department of Cardiology, Pitié-Salpétriêre, Sorbonne Université-Paris 6, 75006, Paris, France.
Pierre-Yves MarieDepartment of Nuclear Medicine, Brambois University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France.
Gabriel StegINSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.
Dominique Le GuludecDepartment of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
Assistance Publique – Hôpitaux de Paris · FRDélégation Paris 7 · FRAlliance nationale pour les sciences de la vie et de la santé · FRInserm · FRSorbonne Université · FRUniversité de Lorraine · FRÉpidémiologie Clinique, Évaluation Économique Appliquées aux Populations Vulnérables · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to compare the diagnostic performances for the detection of myocardial ischemia of 82-Rb-PET-MPS and 99m-Tc-SPECT-MPS in overweight individuals and women. METHODS AND

resultsMen with BMI ≥ 25 and women referred for MPS were considered for inclusion. All individuals underwent 99m-Tc-SPECT-MPS with CZT cameras and 82-Rb-PET-MPS in 3D-mode. Individuals with at least one positive MPS were referred for coronary angiography (CA) with FFR measurements. A criterion for positivity was a composite endpoint including significant stenosis on CA or, in the absence of CA, the occurrence of acute coronary event during the following year. 313 patients (46% women) with mean BMI of 31.8 ± 6.5 were included. Sensitivity for the detection of myocardial ischemia was higher with 82-Rb-PET-MPS compared with 99m-Tc-SPECT-MPS (85% vs. 57%, P < .05); specificity was equally high with both imaging techniques (93% vs. 94%, P > .05). 82-Rb-PET allowed for a more accurate detection of patients with a high-risk coronary artery disease (HR-CAD) than 99m-Tc-SPECT-MPS (AUC = 0.86 vs. 0.75, respectively; P = .04).

conclusionsIn women and overweight individuals, 82-Rb-PET-MPS provides higher sensitivity for the detection of myocardial ischemia than 99m-Tc-SPECT-MPS thanks to a better image quality and an improved detection of HR-CAD.

Indexed as

RubidiumAgedArea Under CurveBody Mass IndexCadmiumCoronary Artery DiseaseFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMyocardial IschemiaOverweightPositron-Emission TomographyReproducibility of ResultsRisk FactorsCadmiumCdZnTeRubidiumTelluriumZinc82-RubidiumCADCZT cameraDiagnostic and prognostic applicationMPIMyocardial blood flowPETSPECT

Identifiers

PMID30574676
OpenAlexW2905669065

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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.