Evidence map›Paper›PMID 32094693›Full record

ArticleNature reviews. Cardiology2020

Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia.

Marc Dewey, Maria Siebes, Marc Kachelrieß, Klaus F Kofoed, Pál Maurovich-Horvat, Konstantin Nikolaou, Wenjia Bai, Andreas Kofler, Robert Manka, Sebastian Kozerke and 14 more

Registry-linked trialAbstract readConsensus Statement
In one paragraph

Article in Nature reviews. 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 NCT07243119 (PRIMA-HF PRedicting Recovery of Left Ventricular Function With Multimodality Cardiac IMAging in Patients With de Novo Heart Failure HAI-HF), which is not on this map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 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.

NCT07243119 phase4enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

PRIMA-HF PRedicting Recovery of Left Ventricular Function With Multimodality Cardiac IMAging in Patients With de Novo Heart Failure HAI-HF: High-Dose Adenosine During Perfusion Imaging in Heart Failure: Rationale and Design of the HAI-HF Trial

TypeinterventionalSponsorGødstrup HospitalRan2025 to 2029Enrolled180ConditionsHeart Failure and Reduced Ejection Fraction, Heart FailureArmsHAI-HF: Adenosine Stress [¹⁵O]H₂O PET Imaging, Two different doses of adenosine
3 · Its place in the literature

Who cites it

95 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
  4. QuantitativeEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. CAD-RADS: A Standardized Reporting System for Coronary CT Angiography.Journal of the Korean Society of Radiology · 2026
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

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

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

24 authors.

Marc DeweyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany. dewey@charite.de.ORCID http://orcid.org/0000-0002-4402-2733
Maria SiebesDepartment of Biomedical Engineering and Physics - Translational Physiology, Amsterdam University Medical Center, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-7034-5843
Marc KachelrießDivision of X-Ray Imaging and CT, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
Klaus F KofoedThe Heart Centre Rigshospitalet, Department of Cardiology and Radiology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-9742-1554
Pál Maurovich-HorvatMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.ORCID http://orcid.org/0000-0003-0885-736X
Konstantin NikolaouUniversitätsklinikum Tübingen, Radiologische Klinik, Diagnostische und Interventionelle Radiologie, Tübingen, Germany.
Wenjia BaiBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-2943-7698
Andreas KoflerDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Robert MankaInstitute of Diagnostic and Interventional Radiology and Department of Cardiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Sebastian KozerkeInstitute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
Amedeo ChiribiriDepartment of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0003-3394-4289
Tobias SchaeffterDepartment of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Florian MichallekDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Frank BengelKlinik für Nuklearmedizin, Medizinische Hochschule Hannover, Hannover, Germany.
Stephan NekollaNuklearmedizinische Klinik und Poliklinik, Klinikum rechts der Isar der TU München, DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.
Paul KnaapenDepartment of Cardiology, VU University Medical Center, Amsterdam, Netherlands.
Mark LubberinkDepartment of Surgical Sciences - Nuclear Medicine & PET, Uppsala University, Uppsala, Sweden.
Roxy SeniorDepartment of Cardiology, Royal Brompton Hospital London, London, UK.
Meng-Xing TangDepartment of Bioengineering, Imperial College London, London, UK.
Jan J PiekHeart Center, Amsterdam University Medical Center, Amsterdam, Netherlands.
Tim van de HoefHeart Center, Amsterdam University Medical Center, Amsterdam, Netherlands.
Johannes MartensDepartment of Cellular and Molecular Imaging, Comprehensive Heart Failure Center, Würzburg University Clinics, Würzburg, Germany.
Laura SchreiberDepartment of Cellular and Molecular Imaging, Comprehensive Heart Failure Center, Würzburg University Clinics, Würzburg, Germany.ORCID http://orcid.org/0000-0002-8827-1838
Quantitative Cardiac Imaging Study Group

Funding

British Heart Foundation PG/16/95/32350
6 · The paper itself

Abstract

Cardiac imaging has a pivotal role in the prevention, diagnosis and treatment of ischaemic heart disease. SPECT is most commonly used for clinical myocardial perfusion imaging, whereas PET is the clinical reference standard for the quantification of myocardial perfusion. MRI does not involve exposure to ionizing radiation, similar to echocardiography, which can be performed at the bedside. CT perfusion imaging is not frequently used but CT offers coronary angiography data, and invasive catheter-based methods can measure coronary flow and pressure. Technical improvements to the quantification of pathophysiological parameters of myocardial ischaemia can be achieved. Clinical consensus recommendations on the appropriateness of each technique were derived following a European quantitative cardiac imaging meeting and using a real-time Delphi process. SPECT using new detectors allows the quantification of myocardial blood flow and is now also suited to patients with a high BMI. PET is well suited to patients with multivessel disease to confirm or exclude balanced ischaemia. MRI allows the evaluation of patients with complex disease who would benefit from imaging of function and fibrosis in addition to perfusion. Echocardiography remains the preferred technique for assessing ischaemia in bedside situations, whereas CT has the greatest value for combined quantification of stenosis and characterization of atherosclerosis in relation to myocardial ischaemia. In patients with a high probability of needing invasive treatment, invasive coronary flow and pressure measurement is well suited to guide treatment decisions. In this Consensus Statement, we summarize the strengths and weaknesses as well as the future technological potential of each imaging modality.

Indexed as

Delphi TechniqueEchocardiographyHumansMagnetic Resonance ImagingMyocardial IschemiaMyocardial Perfusion ImagingPositron-Emission TomographyTomography, Emission-Computed, Single-PhotonTomography, X-Ray Computed

Identifiers

PMID32094693
PMCPMC7297668

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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.