Evidence map›Paper›PMID 29454767›Full record

ArticleJACC. Cardiovascular imaging2018

Diagnostic Performance of Fully Automated Pixel-Wise Quantitative Myocardial Perfusion Imaging by Cardiovascular Magnetic Resonance.

Li-Yueh Hsu, Matthew Jacobs, Mitchel Benovoy, Allison D Ta, Hannah M Conn, Susanne Winkler, Anders M Greve, Marcus Y Chen, Sujata M Shanbhag, W Patricia Bandettini and 1 more

2 registry-linked trialsOpen access · hybridAbstract readComparative StudyVideo-Audio Media
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 83 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 5 pooled it
12.6field-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.

NCT00027170 completednot on this map

Technical Development of Cardiovascular Magnetic Resonance Imaging

TypeobservationalSponsorNational Heart, Lung, and Blood Institute (NHLBI)Ran2001 to 2020Enrolled8,781ConditionsCardiomyopathy, Congenital Heart Disease, Cardiovascular Disease, Cardiac Magnetic Resonance ImagingArmsSiemens MRI scanner
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

83 citing papers in PubMed, 5 syntheses or guidelines pooled it, 147 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. 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
  6. Trial
  7. Trial
  8. 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
  9. Article
  10. [EJNMMI research · 2026
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. 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

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Li-Yueh HsuNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Matthew JacobsNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Mitchel BenovoyNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Allison D TaNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Hannah M ConnNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Susanne WinklerNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Anders M GreveNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Marcus Y ChenNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Sujata M ShanbhagNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
W Patricia BandettiniNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Andrew E AraiNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: araia@nih.gov.
National Heart Lung and Blood Institute · USNational Institutes of Health · US

Funding

Technical Development of Diagnostic Cardiovascular MRIZIAHL004607 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2009 to 2020
$25.3M
Cardiovascular CT Clinical ResearchZIAHL006220 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CHEN, MARCUS · 2017 to 2025
$22.5M
Quantification of Myocardial PerfusionZIAHL006137 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2011 to 2020
$9.4M
Advanced Cardiovascular Imaging FellowshipZIEHL006139 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2011 to 2020
$8.8M
Intramural NIH HHS Z99 HL999999Intramural NIH HHS ZIA HL004607Intramural NIH HHS ZIA HL006137Intramural NIH HHS ZIA HL006220Intramural NIH HHS ZIE HL006139
6 · The paper itself

Abstract

objectivesThe authors developed a fully automated framework to quantify myocardial blood flow (MBF) from contrast-enhanced cardiac magnetic resonance (CMR) perfusion imaging and evaluated its diagnostic performance in patients.

backgroundFully quantitative CMR perfusion pixel maps were previously validated with microsphere MBF measurements and showed potential in clinical applications, but the methods required laborious manual processes and were excessively time-consuming.

methodsCMR perfusion imaging was performed on 80 patients with known or suspected coronary artery disease (CAD) and 17 healthy volunteers. Significant CAD was defined by quantitative coronary angiography (QCA) as ≥70% stenosis. Nonsignificant CAD was defined by: 1) QCA as <70% stenosis; or 2) coronary computed tomography angiography as <30% stenosis and a calcium score of 0 in all vessels. Automatically generated MBF maps were compared with manual quantification on healthy volunteers. Diagnostic performance of the automated MBF pixel maps was analyzed on patients using absolute MBF, myocardial perfusion reserve (MPR), and relative measurements of MBF and MPR.

resultsThe correlation between automated and manual quantification was excellent (r = 0.96). Stress MBF and MPR in the ischemic zone were lower than those in the remote myocardium in patients with significant CAD (both p < 0.001). Stress MBF and MPR in the remote zone of the patients were lower than those in the normal volunteers (both p < 0.001). All quantitative metrics had good area under the curve (0.864 to 0.926), sensitivity (82.9% to 91.4%), and specificity (75.6% to 91.1%) on per-patient analysis. On a per-vessel analysis of the quantitative metrics, area under the curve (0.837 to 0.864), sensitivity (75.0% to 82.7%), and specificity (71.8% to 80.9%) were good.

conclusionsFully quantitative CMR MBF pixel maps can be generated automatically, and the results agree well with manual quantification. These methods can discriminate regional perfusion variations and have high diagnostic performance for detecting significant CAD. (Technical Development of Cardiovascular Magnetic Resonance Imaging; NCT00027170).

Indexed as

Coronary CirculationImage Interpretation, Computer-AssistedAutomationBlood Flow VelocityCase-Control StudiesCoronary Artery DiseaseCoronary StenosisHumansMagnetic Resonance ImagingMyocardial Perfusion ImagingPredictive Value of TestsReproducibility of ResultsSeverity of Illness Indexcomputer-aided diagnosisimage processingmagnetic resonance imagingmyocardial blood flowmyocardial perfusionquantification

Identifiers

PMID29454767
PMCPMC8760891
OpenAlexW2793235906

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.