Evidence map›Paper›PMID 24255127›Full record

ArticleEuropean heart journal2014

Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study.

Carlos E Rochitte, Richard T George, Marcus Y Chen, Armin Arbab-Zadeh, Marc Dewey, Julie M Miller, Hiroyuki Niinuma, Kunihiro Yoshioka, Kakuya Kitagawa, Shiro Nakamori and 20 more

3 registry-linked trialsOpen access · bronzeAbstract readComparative StudyEvaluation StudyMulticenter Study
In one paragraph

Article in European heart journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 163 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 1 pooled it
45.5field-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.

NCT02756234 completednot on this mapstarted 2016, after this paper: background citation

Implementing Myocardial Computed Tomographic Perfusion in a Community Hospital Setting

TypeobservationalSponsorLancaster General HospitalRan2016 to 2018Enrolled19ConditionsCoronary Artery Disease
NCT03324308 nawithdrawnnot on this mapstarted 2018, after this paper: background citation

The Safety, Feasibility and Accuracy of Dynamic Computed Tomography Myocardial Perfusion Imaging for Detection of Coronary Artery Disease

TypeinterventionalSponsorJohns Hopkins UniversityRan2018 to 2022Enrolled0ConditionsCoronary Artery Disease, IschemiaArmsComputed Tomography Angiography
NCT04272060 nacompletednot on this mapstarted 2019, after this paper: background citation

Ultra-High Resolution CT vs. Conventional Angiography for Detecting Hemodynamically Significant Coronary Artery Disease - The Core-PRECISION MULTI-CENTER STUDY

TypeinterventionalSponsorJohns Hopkins UniversityRan2019 to 2025Enrolled175ConditionsCoronary Artery DiseaseArmsCT angiography, Invasive coronary angiography
3 · Its place in the literature

Who cites it

163 citing papers in PubMed, 1 synthesis or guideline pooled it, 432 citations in OpenAlex.

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  14. CAD-RADS: A Standardized Reporting System for Coronary CT Angiography.Journal of the Korean Society of Radiology · 2026
    Review
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  20. How to perform and evaluate a myocardial perfusion imaging by computed tomography.European heart journal. Imaging methods and practice · 2025
    Review

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

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

30 authors at 18 institutions in 8 countries.

Carlos E RochitteDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital and School of Medicine, 600 N. Wolfe St., Blalock 524, Baltimore, MD 21287, USA.
Richard T George
Marcus Y Chen
Armin Arbab-Zadeh
Marc Dewey
Julie M Miller
Hiroyuki Niinuma
Kunihiro Yoshioka
Kakuya Kitagawa
Shiro Nakamori
Roger Laham
Andrea L Vavere
Rodrigo J Cerci
Vishal C Mehra
Cesar Nomura
Klaus F Kofoed
Masahiro Jinzaki
Sachio Kuribayashi
Albert de Roos
Michael Laule
Swee Yaw Tan
John Hoe
Narinder Paul
Frank J Rybicki
Jeffery A Brinker
Andrew E Arai
Christopher Cox
Melvin E Clouse
Marcelo F Di Carli
Joao A C Lima
Johns Hopkins University · USJohns Hopkins Hospital · USBrigham and Women's Hospital · USIwate Medical University · JPKeio University · JPMie University Hospital · JPNational Institutes of Health · USBeth Israel Deaconess Medical Center · USCharité - Universitätsmedizin Berlin · DEHarvard University · USHospital Israelita Albert Einstein · BRHumboldt-Universität zu Berlin · DELeiden University Medical Center · NLMount Elizabeth Hospital · SGNational Heart Centre Singapore · SGToronto General Hospital · CAUniversidade de São Paulo · BRUniversity of Copenhagen · DK

Funding

Cardiovascular CT ResearchZIAHL006138 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2011 to 2016
$7.3M
6 · The paper itself

Abstract

aimsTo evaluate the diagnostic power of integrating the results of computed tomography angiography (CTA) and CT myocardial perfusion (CTP) to identify coronary artery disease (CAD) defined as a flow limiting coronary artery stenosis causing a perfusion defect by single photon emission computed tomography (SPECT). METHODS AND

resultsWe conducted a multicentre study to evaluate the accuracy of integrated CTA-CTP for the identification of patients with flow-limiting CAD defined by ≥50% stenosis by invasive coronary angiography (ICA) with a corresponding perfusion deficit on stress single photon emission computed tomography (SPECT/MPI). Sixteen centres enroled 381 patients who underwent combined CTA-CTP and SPECT/MPI prior to conventional coronary angiography. All four image modalities were analysed in blinded independent core laboratories. The prevalence of obstructive CAD defined by combined ICA-SPECT/MPI and ICA alone was 38 and 59%, respectively. The patient-based diagnostic accuracy defined by the area under the receiver operating characteristic curve (AUC) of integrated CTA-CTP for detecting or excluding flow-limiting CAD was 0.87 [95% confidence interval (CI): 0.84-0.91]. In patients without prior myocardial infarction, the AUC was 0.90 (95% CI: 0.87-0.94) and in patients without prior CAD the AUC for combined CTA-CTP was 0.93 (95% CI: 0.89-0.97). For the combination of a CTA stenosis ≥50% stenosis and a CTP perfusion deficit, the sensitivity, specificity, positive predictive, and negative predicative values (95% CI) were 80% (72-86), 74% (68-80), 65% (58-72), and 86% (80-90), respectively. For flow-limiting disease defined by ICA-SPECT/MPI, the accuracy of CTA was significantly increased by the addition of CTP at both the patient and vessel levels.

conclusionsThe combination of CTA and perfusion correctly identifies patients with flow limiting CAD defined as ≥50 stenosis by ICA causing a perfusion defect by SPECT/MPI.

Indexed as

AgedCoronary StenosisFemaleHemodynamicsHumansMaleMiddle AgedMultidetector Computed TomographyMyocardial Perfusion ImagingProspective StudiesROC CurveSensitivity and SpecificityTomography, Emission-Computed, Single-PhotonAtherosclerosisImagingIschemiaMultislice computed tomographyPerfusion

Identifiers

PMID24255127
PMCPMC6693293
OpenAlexW2161446848

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.