Evidence map›Paper›PMID 40784605›Full record

GuidelineJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance

Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging.

Amedeo Chiribiri, Andrew E Arai, Edward DiBella, Li-Yueh Hsu, Masaki Ishida, Michael Jerosch-Herold, Sebastian Kozerke, Xenios Milidonis, Reza Nezafat, Sven Plein and 2 more

Abstract readPractice GuidelineReviewConsensus Statement
In one paragraph

Guideline in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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.

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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  9. Review
  10. Review
  11. Deep learning motion correction of quantitative stress perfusion cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

12 authors.

Amedeo ChiribiriSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; National Institute for Health and Care Research (NIHR) Healthtech Research Centre (HRC) in Cardiovascular and Respiratory Medicine, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom. Electronic address: amedeo.chiribiri@kcl.ac.uk.
Andrew E AraiCardiovascular Medicine and Department of Radiology, University of Utah, Salt Lake City, Utah, USA.
Edward DiBellaCardiovascular Medicine and Department of Radiology, University of Utah, Salt Lake City, Utah, USA; Electrical and Computer Engineering Department, University of Utah, Salt Lake City, Utah, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA.
Li-Yueh HsuNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Masaki IshidaDepartment of Radiology, Mie University Graduate School of Medicine, Tsu, Mie, Japan.
Michael Jerosch-HeroldCardiovascular Division and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Sebastian KozerkeInstitute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
Xenios MilidonisSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; CYENS Centre of Excellence, Nicosia, Cyprus.
Reza NezafatDepartment of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Sven PleinMultidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
Cian M ScannellDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.
Michael SalernoDepartment of Cardiovascular Medicine, Stanford University, Stanford, California, USA; Department of Radiology, Cardiovascular Imaging, Stanford University, Stanford, California, USA.

Funding

Cardiopulmonary Exercise MRI in Heart Failure with Preserved Ejection FractionR01HL158077 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2021 to 2025
$3.7M
Unraveling The Mechanism of Heart Failure in Hypertrophic Cardiomyopathy with Exercise CMRR01HL177076 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Martin S Maron, Reza Nezafat · 2025 to 2026
$1.5M
NHLBI NIH HHS R01 HL158077NHLBI NIH HHS R01 HL177076
6 · The paper itself

Abstract

Myocardial perfusion imaging plays a central role in the management of patients with known or suspected coronary artery disease (CAD) and increasingly in patients with suspected ischemia with normal coronary arteries (INOCA) as well as anomalous origins of the coronary arteries and Kawasaki disease. Stress perfusion cardiovascular magnetic resonance (CMR) is recognized by international guidelines, with several Class 1 indications for the detection of abnormal myocardial blood flow in these clinical scenarios and offers excellent diagnostic accuracy and independent prognostic value. While visual interpretation of the perfusion data is the prevailing analysis method in clinical practice, quantitative perfusion CMR is at least as accurate for the detection of significant obstructive CAD and provides a more accurate estimation of the total ischemic burden in patients with CAD. Moreover, quantitative myocardial perfusion analysis provides unique insights into the pathophysiology of myocardial ischemia, including microvascular disease in INOCA. Quantitative perfusion CMR can be fully automated, is user-independent, and may facilitate more widespread use of the modality. The aim of this Society for Cardiovascular Magnetic Resonance (SCMR) expert consensus document is to provide recommendations for the acquisition and analysis of quantitative myocardial perfusion CMR to facilitate standardization of methodology. This paper also discusses research and development goals to address current limitations, to ensure data reliability and validity, to create the basis for future multi-vendor and multicenter research, and to broaden the clinical use of quantitative perfusion CMR.

Indexed as

Coronary Artery DiseaseCoronary CirculationMagnetic Resonance ImagingMyocardial Perfusion ImagingHumansPredictive Value of TestsPrognosisReproducibility of ResultsCardiovascular magnetic resonanceCoronary artery diseaseINOCAKawasaki diseaseMyocardial perfusion imagingQuantitative perfusionStress perfusion

Identifiers

PMID40784605
PMCPMC12766621

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.