Evidence map›Paper›PMID 36458882›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2023

Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance.

Louise A E Brown, Gaurav S Gulsin, Sebastian C Onciul, David A Broadbent, Jian L Yeo, Alice L Wood, Christopher E D Saunderson, Arka Das, Nicholas Jex, Amrit Chowdhary and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Society for Cardiovascular Magnetic Resonance reference values ("normal values") in cardiovascular magnetic resonance: 2025 update.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Guideline
  2. 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
  3. Article
  4. Article
  5. Microstructural disease and hypoperfusion in dilated cardiomyopathy underpin midwall septal fibrosis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Differences in quantitative myocardial perfusion mapping by CMR at 1.5 T and 3 T.American heart journal plus : cardiology research and practice · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 5 institutions in 2 countries.

Louise A E BrownMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.ORCID 0000-0002-1327-6482
Gaurav S GulsinDepartment of Cardiovascular Sciences, University of Leicester and Cardiovascular Theme, NIHR Leicester Biomedical Research Centre, Glenfield Hospital, UK.
Sebastian C OnciulMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.
David A BroadbentMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.
Jian L YeoDepartment of Cardiovascular Sciences, University of Leicester and Cardiovascular Theme, NIHR Leicester Biomedical Research Centre, Glenfield Hospital, UK.
Alice L WoodDepartment of Cardiovascular Sciences, University of Leicester and Cardiovascular Theme, NIHR Leicester Biomedical Research Centre, Glenfield Hospital, UK.
Christopher E D SaundersonMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.
Arka DasMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.ORCID 0000-0003-1134-3036
Nicholas JexMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.
Amrit ChowdharyMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.ORCID 0000-0002-2073-4138
Sharmaine ThirunavukarasuMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.
Noor SharrackMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.ORCID 0000-0001-5880-1722
Kristopher D KnottBarts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, UK.
Eylem LeveltMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.
Peter P SwobodaMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.ORCID 0000-0001-7162-7079
Hui XueNational Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, MD, USA.ORCID 0000-0002-4561-5530
John P GreenwoodMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.
James C MoonBarts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London, UK.
David AdlamMedical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Gerry P McCannDepartment of Cardiovascular Sciences, University of Leicester and Cardiovascular Theme, NIHR Leicester Biomedical Research Centre, Glenfield Hospital, UK.ORCID 0000-0002-5542-8448
Peter KellmanNational Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, MD, USA.ORCID 0000-0002-9875-6070
Sven PleinMultidisciplinary Cardiovascular Research Centre (MCRC) and Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK.ORCID 0000-0002-0997-4384
University of Leeds · GBUniversity of Leicester · GBNational Institutes of Health · USSt Bartholomew's Hospital · GBLeeds Teaching Hospitals NHS Trust · GB

Funding

Gadgetron Global Network and Artificial Intelligence Powered Cardiac ImagingZIAHL006242 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KELLMAN, PETER · 2019 to 2023
$2.2M
British Heart Foundation CH/16/2/32089British Heart Foundation PG/13/96/30608
6 · The paper itself

Abstract

aimsRecently developed in-line automated cardiovascular magnetic resonance (CMR) myocardial perfusion mapping has been shown to be reproducible and comparable with positron emission tomography (PET), and can be easily integrated into clinical workflows. Bringing quantitative myocardial perfusion CMR into routine clinical care requires knowledge of sex- and age-specific normal values in order to define thresholds for disease detection. This study aimed to establish sex- and age-specific normal values for stress and rest CMR myocardial blood flow (MBF) in healthy volunteers. METHODS AND

resultsA total of 151 healthy volunteers recruited from two centres underwent adenosine stress and rest myocardial perfusion CMR. In-line automatic reconstruction and post processing of perfusion data were implemented within the Gadgetron software framework, creating pixel-wise perfusion maps. Rest and stress MBF were measured, deriving myocardial perfusion reserve (MPR) and were subdivided by sex and age. Mean MBF in all subjects was 0.62 ± 0.13 mL/g/min at rest and 2.24 ± 0.53 mL/g/min during stress. Mean MPR was 3.74 ± 1.00. Compared with males, females had higher rest (0.69 ± 0.13 vs. 0.58 ± 0.12 mL/g/min, P < 0.01) and stress MBF (2.41 ± 0.47 vs. 2.13 ± 0.54 mL/g/min, P = 0.001). Stress MBF and MPR showed significant negative correlations with increasing age (r = -0.43, P < 0.001 and r = -0.34, P < 0.001, respectively).

conclusionFully automated in-line CMR myocardial perfusion mapping produces similar normal values to the published CMR and PET literature. There is a significant increase in rest and stress MBF, but not MPR, in females and a reduction of stress MBF and MPR with advancing age, advocating the use of sex- and age-specific reference ranges for diagnostic use.

Indexed as

Coronary Artery DiseaseMyocardial Perfusion ImagingAge FactorsCoronary CirculationFemaleHumansMagnetic Resonance SpectroscopyMalePredictive Value of TestsReference Valuescardiovascular magnetic resonancemyocardial perfusionmyocardial perfusion reservenormal values

Identifiers

PMID36458882
PMCPMC10029853
OpenAlexW4310782144

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.