Evidence map›Paper›PMID 25881050›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2015

Feasibility of high-resolution quantitative perfusion analysis in patients with heart failure.

Eva Sammut, Niloufar Zarinabad, Roman Wesolowski, Geraint Morton, Zhong Chen, Manav Sohal, Gerry Carr-White, Reza Razavi, Amedeo Chiribiri

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Importance of operator training and rest perfusion on the diagnostic accuracy of stress perfusion cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Trial
  2. Quantitative myocardial blood flow and perfusion reserve with exercise cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
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  4. Review
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  12. Review of Journal of Cardiovascular Magnetic Resonance (JCMR) 2015-2016 and transition of the JCMR office to Boston.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    Review
  13. Review of Journal of Cardiovascular Magnetic Resonance 2015.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2016
    Review
  14. Article
  15. Microvascular ischemia in hypertrophic cardiomyopathy: new insights from high-resolution combined quantification of perfusion and late gadolinium enhancement.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2016
    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

9 authors at 2 institutions in 1 country.

Eva SammutKing's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, London, UK. eva.sammut@kcl.ac.uk.
Niloufar ZarinabadKing's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, London, UK. niloufar.zarinabad@kcl.ac.uk.
Roman WesolowskiKing's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, London, UK. roman.wesolowski@kcl.ac.uk.
Geraint MortonKing's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, London, UK. geraint.morton@kcl.ac.uk.
Zhong ChenKing's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, London, UK. zhong.chen@kcl.ac.uk.
Manav SohalKing's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, London, UK. manav.sohal@kcl.ac.uk.
Gerry Carr-WhiteDepartment of Cardiology, Guy's and St Thomas' Hospital, London, UK. gerry.carr-white@gstt.nhs.uk.
Reza RazaviKing's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, London, UK. reza.razavi@kcl.ac.uk.
Amedeo ChiribiriKing's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, St. Thomas' Hospital, London, UK. amedeo.chiribiri@kcl.ac.uk.
Guy's and St Thomas' NHS Foundation Trust · GBSt Thomas' Hospital · GB

Funding

Wellcome Trust 088641/Z/09/Z
6 · The paper itself

Abstract

backgroundCardiac magnetic resonance (CMR) is playing an expanding role in the assessment of patients with heart failure (HF). The assessment of myocardial perfusion status in HF can be challenging due to left ventricular (LV) remodelling and wall thinning, coexistent scar and respiratory artefacts. The aim of this study was to assess the feasibility of quantitative CMR myocardial perfusion analysis in patients with HF.

methodsA group of 58 patients with heart failure (HF; left ventricular ejection fraction, LVEF ≤ 50%) and 33 patients with normal LVEF (LVEF >50%), referred for suspected coronary artery disease, were studied. All subjects underwent quantitative first-pass stress perfusion imaging using adenosine according to standard acquisition protocols. The feasibility of quantitative perfusion analysis was then assessed using high-resolution, 3 T kt perfusion and voxel-wise Fermi deconvolution.

results30/58 (52%) subjects in the HF group had underlying ischaemic aetiology. Perfusion abnormalities were seen amongst patients with ischaemic HF and patients with normal LV function. No regional perfusion defect was observed in the non-ischaemic HF group. Good agreement was found between visual and quantitative analysis across all groups. Absolute stress perfusion rate, myocardial perfusion reserve (MPR) and endocardial-epicardial MPR ratio identified areas with abnormal perfusion in the ischaemic HF group (p = 0.02; p = 0.04; p = 0.02, respectively). In the Normal LV group, MPR and endocardial-epicardial MPR ratio were able to distinguish between normal and abnormal segments (p = 0.04; p = 0.02 respectively). No significant differences of absolute stress perfusion rate or MPR were observed comparing visually normal segments amongst groups.

conclusionsOur results demonstrate the feasibility of high-resolution voxel-wise perfusion assessment in patients with HF.

Indexed as

Coronary CirculationAdultAgedCoronary VesselsFeasibility StudiesFemaleHeart FailureHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedMyocardial Perfusion ImagingPredictive Value of TestsRetrospective StudiesStroke Volume

Identifiers

PMID25881050
PMCPMC4326191
OpenAlexW2145913846

What OpenQuestion holds

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LicenceCC BY
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.