Evidence map›Paper›PMID 25812572›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2015

A quantitative high resolution voxel-wise assessment of myocardial blood flow from contrast-enhanced first-pass magnetic resonance perfusion imaging: microsphere validation in a magnetic resonance compatible free beating explanted pig heart model.

Andreas Schuster, Matthew Sinclair, Niloufar Zarinabad, Masaki Ishida, Jeroen P H M van den Wijngaard, Matthias Paul, Pepijn van Horssen, Shazia T Hussain, Divaka Perera, Tobias Schaeffter and 4 more

Abstract readValidation Study
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

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

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

  1. 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
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  10. Deep-Learning-Based Preprocessing for Quantitative Myocardial Perfusion MRI.Journal of magnetic resonance imaging : JMRI · 2020
    Article
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  17. Perfusion dyssynchrony analysis.European heart journal. Cardiovascular Imaging · 2016
    Article
  18. 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

14 authors.

Andreas SchusterDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK Department of Cardiology and Pneumology and German Centre for Cardiovascular Research (DZHK, Partner Site Göttingen), Georg-August-University, Göttingen, Germany andreas_schuster@gmx.net.
Matthew SinclairDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK.
Niloufar ZarinabadDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK.
Masaki IshidaDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK.
Jeroen P H M van den WijngaardDepartment of Biomedical Engineering and Physics, Academic Medical Centre, Amsterdam, The Netherlands.
Matthias PaulDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK.
Pepijn van HorssenDepartment of Biomedical Engineering and Physics, Academic Medical Centre, Amsterdam, The Netherlands.
Shazia T HussainDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK.
Divaka PereraDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK King's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Department of Cardiology, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Tobias SchaeffterDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK.
Jos A E SpaanDepartment of Biomedical Engineering and Physics, Academic Medical Centre, Amsterdam, The Netherlands.
Maria SiebesDepartment of Biomedical Engineering and Physics, Academic Medical Centre, Amsterdam, The Netherlands.
Eike NagelDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK Division of Cardiovascular Imaging, Goethe University Frankfurt and German Centre for Cardiovascular Research (DZHK, Partner Site Rhine-Main), Frankfurt, Germany.
Amedeo ChiribiriDivision of Imaging Sciences and Biomedical Engineering, King's College London British Heart Foundation (BHF) Centre of Excellence, National Institute of Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' NHS Foundation Trust, Wellcome Trust and Engineering and Physical Sciences Research Council (EPSRC) Medical Engineering Centre, The Rayne Institute, St. Thomas' Hospital, Lambeth Palace Road, London, UK.

Funding

British Heart Foundation FS/10/029/28253British Heart Foundation RE/08/003Wellcome Trust WT 088641/Z/09/Z
6 · The paper itself

Abstract

aimsTo assess the feasibility of high-resolution quantitative cardiovascular magnetic resonance (CMR) voxel-wise perfusion imaging using clinical 1.5 and 3 T sequences and to validate it using fluorescently labelled microspheres in combination with a state of the art imaging cryomicrotome in a novel, isolated blood-perfused MR-compatible free beating pig heart model without respiratory motion. METHODS AND

resultsMR perfusion imaging was performed in pig hearts at 1.5 (n = 4) and 3 T (n = 4). Images were acquired at physiological flow ('rest'), reduced flow ('ischaemia'), and during adenosine-induced hyperaemia ('stress') in control and coronary occlusion conditions. Fluorescently labelled microspheres and known coronary myocardial blood flow represented the reference standards for quantitative perfusion validation. For the comparison with microspheres, the LV was divided into 48 segments based on a subdivision of the 16 AHA segments into subendocardial, midmyocardial, and subepicardial subsegments. Perfusion quantification of the time-signal intensity curves was performed using a Fermi function deconvolution. High-resolution quantitative voxel-wise perfusion assessment was able to distinguish between occluded and remote myocardium (P < 0.001) and between rest, ischaemia, and stress perfusion conditions at 1.5 T (P < 0.001) and at 3 T (P < 0.001). CMR-MBF estimates correlated well with the microspheres at the AHA segmental level at 1.5 T (r = 0.94, P < 0.001) and at 3 T (r = 0.96, P < 0.001) and at the subendocardial, midmyocardial, and subepicardial level at 1.5 T (r = 0.93, r = 0.9, r = 0.88, P < 0.001, respectively) and at 3 T (r = 0.91, r = 0.95, r = 0.84, P < 0.001, respectively).

conclusionCMR-derived voxel-wise quantitative blood flow assessment is feasible and very accurate compared with microspheres. This technique is suitable for both clinically used field strengths and may provide the tools to assess extent and severity of myocardial ischaemia.

Indexed as

MicrospheresAlgorithmsAnimalsBlood Flow VelocityContrast MediaCoronary CirculationFeasibility StudiesHyperemiaImage EnhancementImage Processing, Computer-AssistedMagnetic Resonance ImagingModels, AnimalOrganometallic CompoundsSignal-To-Noise RatioSwineContrast MediagadobutrolOrganometallic Compoundscardiovascular magnetic resonance imagingfermi deconvolutionIsolated heart perfusionmicrospheresmyocardial perfusion imagingvoxel-wise quantification

Identifiers

PMID25812572
PMCPMC4570548

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