Evidence map›Paper›PMID 30772231›Full record

ArticleJACC. Cardiovascular imaging2019

Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction: Validation Against Invasive Coronary Physiology.

Tushar Kotecha, Ana Martinez-Naharro, Michele Boldrini, Daniel Knight, Philip Hawkins, Sundeep Kalra, Deven Patel, Gerry Coghlan, James Moon, Sven Plein and 6 more

Registry-linked trialOpen access · greenAbstract readComparative StudyValidation Study
In one paragraph

Article in JACC. Cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04805814 (The Clinical Utility Of Cardiac Magnetic Resonance Imaging in Patients With Angina But No Obstructive Coronary Disease), which is not on this map. Cited by 167 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 6 pooled it
19.0field-weighted citation impact, top 1% 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.

NCT04805814 naactive not recruitingnot on this mapstarted 2021, after this paper: background citation

The Clinical Utility Of Cardiac Magnetic Resonance Imaging in Patients With Angina But No Obstructive Coronary Disease (CorCMR): A Diagnostic Study And Nested Randomised Trial

TypeinterventionalSponsorNHS National Waiting Times Centre BoardRan2021 to 2034Enrolled280ConditionsMicrovascular Angina, Angina Pectoris, Angina, Stable, Non-Obstructive Coronary AtherosclerosisArmsCMR results disclosed, CMR performed but results not disclosed
3 · Its place in the literature

Who cites it

167 citing papers in PubMed, 6 syntheses or guidelines pooled it, 248 citations in OpenAlex.

  1. Competency based curriculum for cardiovascular magnetic resonance: A position statement of the Society for Cardiovascular Magnetic Resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Guideline
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  5. Advances in Myocardial Perfusion MR Imaging: Physiological Implications, the Importance of Quantitative Analysis, and Impact on Patient Care in Coronary Artery Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Pooled it
  6. 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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107 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 2 countries.

Tushar KotechaInstitute of Cardiovascular Science, University College London, United Kingdom; Royal Free Hospital, London, United Kingdom.
Ana Martinez-NaharroRoyal Free Hospital, London, United Kingdom; Division of Medicine, University College London, United Kingdom.
Michele BoldriniDivision of Medicine, University College London, United Kingdom.
Daniel KnightInstitute of Cardiovascular Science, University College London, United Kingdom; Royal Free Hospital, London, United Kingdom.
Philip HawkinsRoyal Free Hospital, London, United Kingdom; Division of Medicine, University College London, United Kingdom.
Sundeep KalraRoyal Free Hospital, London, United Kingdom.
Deven PatelRoyal Free Hospital, London, United Kingdom.
Gerry CoghlanRoyal Free Hospital, London, United Kingdom.
James MoonInstitute of Cardiovascular Science, University College London, United Kingdom; Barts Heart Centre, London, United Kingdom.
Sven PleinInstitute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom.
Tim LockieRoyal Free Hospital, London, United Kingdom.
Roby RakhitInstitute of Cardiovascular Science, University College London, United Kingdom; Royal Free Hospital, London, United Kingdom.
Niket PatelInstitute of Cardiovascular Science, University College London, United Kingdom; Royal Free Hospital, London, United Kingdom.
Hui XueNational Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, Maryland.
Peter KellmanNational Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, Maryland.
Marianna FontanaRoyal Free Hospital, London, United Kingdom; Division of Medicine, University College London, United Kingdom. Electronic address: m.fontana@ucl.ac.uk.
The Royal Free Hospital · GBNational Heart Lung and Blood Institute · USBritish Heart Foundation · GBUniversity College London · GBUniversity of Leeds · GB

Funding

Gadgetron Global Network and Intelligence Computing: Clinical Imaging Application Development and Software InfrastructureZIAHL006214 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KELLMAN, PETER · 2016 to 2025
$7.3M
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 FS/18/21/33447British Heart Foundation RG/16/1/32092Department of HealthIntramural NIH HHS Z99 HL999999Intramural NIH HHS ZIA HL006214
6 · The paper itself

Abstract

objectivesThis study sought to assess the performance of cardiovascular magnetic resonance (CMR) myocardial perfusion mapping against invasive coronary physiology reference standards for detecting coronary artery disease (CAD, defined by fractional flow reserve [FFR] ≤0.80), microvascular dysfunction (MVD) (defined by index of microcirculatory resistance [IMR] ≥25) and the ability to differentiate between the two.

backgroundDifferentiation of epicardial (CAD) and MVD in patients with stable angina remains challenging. Automated in-line CMR perfusion mapping enables quantification of myocardial blood flow (MBF) to be performed rapidly within a clinical workflow.

methodsFifty patients with stable angina and 15 healthy volunteers underwent adenosine stress CMR at 1.5T with quantification of MBF and myocardial perfusion reserve (MPR). FFR and IMR were measured in 101 coronary arteries during subsequent angiography.

resultsTwenty-seven patients had obstructive CAD and 23 had nonobstructed arteries (7 normal IMR, 16 abnormal IMR). FFR positive (epicardial stenosis) areas had significantly lower stress MBF (1.47 ± 0.48 ml/g/min) and MPR (1.75 ± 0.60) than FFR-negative IMR-positive (MVD) areas (stress MBF: 2.10 ± 0.35 ml/g/min; MPR: 2.41 ± 0.79) and normal areas (stress MBF: 2.47 ± 0.50 ml/g/min; MPR: 2.94 ± 0.81). Stress MBF ≤1.94 ml/g/min accurately detected obstructive CAD on a regional basis (area under the curve: 0.90; p < 0.001). In patients without regional perfusion defects, global stress MBF <1.82 ml/g/min accurately discriminated between obstructive 3-vessel disease and MVD (area under the curve: 0.94; p < 0.001).

conclusionsThis novel automated pixel-wise perfusion mapping technique can be used to detect physiologically significant CAD defined by FFR, MVD defined by IMR, and to differentiate MVD from multivessel coronary disease. A CMR-based diagnostic algorithm using perfusion mapping for detection of epicardial disease and MVD warrants further clinical validation.

Indexed as

Fractional Flow Reserve, MyocardialMagnetic Resonance ImagingMicrocirculationAdenosineAdultAgedCase-Control StudiesCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingAdenosineVasodilator Agentscardiovascular magnetic resonanceCMRcoronary artery diseaseindex of microcirculatory resistancemicrovascular dysfunctionmyocardial blood flow

Identifiers

PMID30772231
PMCPMC8414332
OpenAlexW2914688717

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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.