Evidence map›Paper›PMID 28823745›Full record

SynthesisJACC. Cardiovascular imaging2018

Diagnostic Performance of Hybrid Cardiac Imaging Methods for Assessment of Obstructive Coronary Artery Disease Compared With Stand-Alone Coronary Computed Tomography Angiography: A Meta-Analysis.

Asim Rizvi, Donghee Han, Ibrahim Danad, Bríain Ó Hartaigh, Ji Hyun Lee, Heidi Gransar, Wijnand J Stuijfzand, Hadi Mirhedayati Roudsari, Mahn Won Park, Jackie Szymonifka and 6 more

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JACC. Cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Umbrella review and multivariate meta-analysis of diagnostic test accuracy studies on hybrid non-invasive imaging for coronary artery disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Pooled it
  2. Review
  3. 2024 European Society of Cardiology guidelines for the management of chronic coronary syndromes : Statement of endorsement by the NVVC.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Recent Progress in Myocardial Perfusion Imaging Techniques.Nuclear medicine and molecular imaging · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Clinical significance of corrected relative flow reserve derived fromJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  14. EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging.European journal of nuclear medicine and molecular imaging · 2021
    Article
  15. Review
  16. Article
  17. Stress-Only CMR.JACC. Cardiovascular imaging · 2020
    Article
  18. Article
  19. Review
  20. Hybrid anatomo-functional imaging of coronary artery disease: Beneficial irrespective of its core components.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 3 countries.

Asim RizviDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York; Department of Radiology, Mayo Clinic, Rochester, Minnesota.
Donghee HanDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, South Korea.
Ibrahim DanadDepartment of Cardiology, VU University Medical Center, Amsterdam, the Netherlands.
Bríain Ó HartaighDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.
Ji Hyun LeeDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, South Korea.
Heidi GransarDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Wijnand J StuijfzandDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.
Hadi Mirhedayati RoudsariDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.
Mahn Won ParkDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.
Jackie SzymonifkaDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.
Hyuk-Jae ChangDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, South Korea.
Erica C JonesDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.
Paul KnaapenDepartment of Cardiology, VU University Medical Center, Amsterdam, the Netherlands.
Fay Y LinDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.
James K MinDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.
Jessica M PeñaDalio Institute of Cardiovascular Imaging, Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York. Electronic address: jmp2003@med.cornell.edu.
New York Hospital Queens · USCornell University · USAmsterdam UMC Location Vrije Universiteit Amsterdam · NLNewYork–Presbyterian Hospital · USPresbyterian Hospital · USYonsei University Health System · KRCedars-Sinai Medical Center · US

Funding

Patient-Specific Coronary Hemodynamics by 3D PrintingR01HL118019 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DUNHAM, SIMON, LIN, FAY YU-HUEI · 2013 to 2022
$5.8M
Dual Energy Computed Tomography for Determining Coronary Lesion-Specific IschemiaR01HL111141 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI EDIC, PETER, MIN, JAMES K · 2013 to 2017
$3.0M
NHLBI NIH HHS R01 HL111141NHLBI NIH HHS R01 HL118019
6 · The paper itself

Abstract

objectivesThe current meta-analysis aimed to evaluate the diagnostic performance of hybrid cardiac imaging techniques compared with stand-alone coronary computed tomography angiography (CTA) for assessment of obstructive coronary artery disease (CAD).

backgroundThe usefulness of coronary CTA for detecting obstructive CAD remains suboptimal at present. Myocardial perfusion imaging encompasses positron emission tomography, single-photon emission computed tomography, and cardiac magnetic resonance, which permit the identification of myocardial perfusion defects to detect significant CAD. A hybrid approach comprising myocardial perfusion imaging and coronary CTA may improve diagnostic performance for detecting obstructive CAD.

methodsPubMed and Web of Knowledge were searched for relevant publications between January 1, 2000 and December 31, 2015. Studies using coronary CTA and hybrid imaging for diagnosis of obstructive CAD (a luminal diameter reduction of >50% or >70% by invasive coronary angiography) were included. In total, 12 articles comprising 951 patients and 1,973 vessels were identified, and a meta-analysis was performed to determine pooled sensitivity, specificity, and summary receiver-operating characteristic curves.

resultsOn a per-patient basis, the pooled sensitivity of hybrid imaging was comparable to that of coronary CTA (91% vs. 90%; p = 0.28). However, specificity was higher for hybrid imaging versus coronary CTA (93% vs. 66%; p < 0.001). On a per-vessel basis, sensitivity for hybrid imaging against coronary CTA was comparable (84% vs. 89%; p = 0.29). Notably, hybrid imaging yielded a specificity of 95% versus 83% for coronary CTA (p < 0.001). Summary receiver-operating characteristic curves displayed improved discrimination for hybrid imaging beyond coronary CTA alone, on a per-vessel basis (area under the curve: 0.97 vs. 0.93; p = 0.047), although not on a per-patient level (area under the curve: 0.97 vs. 0.93; p = 0.132).

conclusionsHybrid cardiac imaging demonstrated improved diagnostic specificity for detection of obstructive CAD compared with stand-alone coronary CTA, yet improvement in overall diagnostic performance was relatively limited.

Indexed as

Computed Tomography AngiographyAdultAgedCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingMyocardial Perfusion ImagingPositron-Emission TomographyPredictive Value of Testscoronary artery diseasecoronary computed tomography angiographymyocardial perfusion imaging

Identifiers

PMID28823745
PMCPMC5808913
OpenAlexW2747440113

What OpenQuestion holds

Textmetadata
LicenceTDM
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.