Evidence map›Paper›PMID 32078380›Full record

Trial reportCirculation2020

The Prognostic Significance of Quantitative Myocardial Perfusion: An Artificial Intelligence-Based Approach Using Perfusion Mapping.

Kristopher D Knott, Andreas Seraphim, Joao B Augusto, Hui Xue, Liza Chacko, Nay Aung, Steffen E Petersen, Jackie A Cooper, Charlotte Manisty, Anish N Bhuva and 8 more

Registry-linked trialOpen access · hybridAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Circulation, 2020. 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 118 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 6 pooled it
14.4field-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

118 citing papers in PubMed, 6 syntheses or guidelines pooled it, 196 citations in OpenAlex.

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  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
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58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 2 countries.

Kristopher D KnottInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Andreas SeraphimInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Joao B AugustoInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Hui XueNational Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD (H.X., P.K.).
Liza ChackoInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Nay AungBarts Heart Centre, St Bartholomew's Hospital, London, United Kingdom (K.D.K., A.S., J.B.A., N.A., S.E.P., C.M., A.N.B., C.V.B., R.H.D., J.C.M.).
Steffen E PetersenBarts Heart Centre, St Bartholomew's Hospital, London, United Kingdom (K.D.K., A.S., J.B.A., N.A., S.E.P., C.M., A.N.B., C.V.B., R.H.D., J.C.M.).
Jackie A CooperWilliam Harvey Research Institute, Queen Mary University of London, United Kingdom (N.A., S.E.P., J.A.C.).
Charlotte ManistyInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Anish N BhuvaInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Tushar KotechaInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Christos V BourantasInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Rhodri H DaviesInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Louise A E BrownDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (L.A.E.B., S.P.).
Sven PleinDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, United Kingdom (L.A.E.B., S.P.).
Marianna FontanaInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
Peter KellmanNational Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD (H.X., P.K.).
James C MoonInstitute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).
St Bartholomew's Hospital · GBUniversity College London · GBLeeds Dental Hospital · GBNational Heart Lung and Blood Institute · USQueen Mary University of London · GBThe Royal Free Hospital · GBWilliam Harvey Research Institute · GB

Funding

British Heart Foundation FS/16/31/32185British Heart Foundation FS/17/34/32901British Heart Foundation FS/18/21/33447British Heart Foundation FS/18/83/34025British Heart Foundation PG/13/97/30487Wellcome Trust 203553/Z/16/Z
6 · The paper itself

Abstract

backgroundMyocardial perfusion reflects the macro- and microvascular coronary circulation. Recent quantitation developments using cardiovascular magnetic resonance perfusion permit automated measurement clinically. We explored the prognostic significance of stress myocardial blood flow (MBF) and myocardial perfusion reserve (MPR, the ratio of stress to rest MBF).

methodsA 2-center study of patients with both suspected and known coronary artery disease referred clinically for perfusion assessment. Image analysis was performed automatically using a novel artificial intelligence approach deriving global and regional stress and rest MBF and MPR. Cox proportional hazard models adjusting for comorbidities and cardiovascular magnetic resonance parameters sought associations of stress MBF and MPR with death and major adverse cardiovascular events (MACE), including myocardial infarction, stroke, heart failure hospitalization, late (>90 day) revascularization, and death.

resultsA total of 1049 patients were included with a median follow-up of 605 (interquartile range, 464-814) days. There were 42 (4.0%) deaths and 188 MACE in 174 (16.6%) patients. Stress MBF and MPR were independently associated with both death and MACE. For each 1 mL·g

conclusionsIn patients with known or suspected coronary artery disease, reduced MBF and MPR measured automatically inline using artificial intelligence quantification of cardiovascular magnetic resonance perfusion mapping provides a strong, independent predictor of adverse cardiovascular outcomes.

Indexed as

Artificial IntelligenceCoronary AngiographyCoronary CirculationMagnetic Resonance AngiographyMyocardial Perfusion ImagingAgedCoronary Artery DiseaseFemaleHumansMaleMiddle Agedcardiovascular magnetic resonancecardiovascular outcomesinline perfusion quantificationmyocardial perfusion

Identifiers

PMID32078380
PMCPMC7176346
OpenAlexW3005940509

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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.