Evidence map›Paper›PMID 34538630›Full record

ArticleJACC. Cardiovascular imaging2022

Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease.

Fay M A Nous, Tobias Geisler, Mariusz B P Kruk, Hatem Alkadhi, Kakuya Kitagawa, Rozemarijn Vliegenthart, Michaela M Hell, Jörg Hausleiter, Patricia K Nguyen, Ricardo P J Budde and 14 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in JACC. Cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02810795 (Dynamic Stress Perfusion ct for Detection of Inducible Myocardial Ischemia), which is not on this map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
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.

NCT02810795 completednot on this map

Dynamic Stress Perfusion ct for Detection of Inducible Myocardial Ischemia

TypeobservationalSponsorErasmus Medical CenterRan2016 to 2020Enrolled180ConditionsCoronary Artery DiseaseArmsDiagnostic detection of coronary artery disease
3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

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

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Fay M A NousDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Tobias GeislerDepartment of Cardiology, University of Tuebingen, Tuebingen, Germany.
Mariusz B P KrukCoronary Disease and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland.
Hatem AlkadhiInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Kakuya KitagawaDepartment of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan.
Rozemarijn VliegenthartDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Michaela M HellDepartment of Cardiology, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Jörg HausleiterDepartment of Cardiology, Ludwig-Maximilians University, Munich, Germany.
Patricia K NguyenVeterans Affairs Palo Alto Healthcare System, Cardiology Section, Palo Alto, California, USA; Stanford University, Division of Cardiovascular Medicine, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford, California, USA.
Ricardo P J BuddeDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Konstantin NikolaouDepartment of Radiology, University Hospital of Tübingen, Tübingen, Germany.
Cezary KepkaCoronary Disease and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland.
Robert MankaDepartment of Cardiology, University Heart Center and Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Hajime SakumaDepartment of Radiology, Mie University Graduate School of Medicine, Tsu, Japan.
Sachin B MalikVeterans Affairs Palo Alto Healthcare System, Thoracic and Cardiovascular Imaging Section, Palo Alto, California, USA; Stanford University, Division of Cardiovascular Imaging (Affiliated), Stanford, California, USA.
Adriaan CoenenDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Felix ZijlstraDepartment of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Ernst KlotzSiemens Healthineers, Forcheim, Germany.
Pim van der HarstDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Christoph ArtznerDepartment of Cardiology, University of Tuebingen, Tuebingen, Germany.
Admir DedicDepartment of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Francesca PuglieseCentre for Advanced Cardiovascular Imaging, William Harvey Research Institute, Barts National Institute for Health Research Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, West Smithfield, London, United Kingdom.
Fabian BambergDepartment of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Koen NiemanDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Stanford University School of Medicine and Cardiovascular Institute, Stanford, California, USA. Electronic address: koennieman@hotmail.com.

Funding

Comprehensive CT Guided Coronary Artery Bypass Graft SurgeryR01HL141712 · NHLBI · STANFORD UNIVERSITY · PI NIEMAN, KOEN · 2019 to 2023
$3.5M
International Consortium for Multimodality Phenotyping in Adults with Non-compactionR01HL146754 · NHLBI · STANFORD UNIVERSITY · PI NIEMAN, KOEN, TANG, WAI HONG WILSON · 2020 to 2023
$3.0M
Multimodality Molecular Imaging of Stem Cell Therapy for Ischemic CardiomyopathyR01HL134830 · NHLBI · STANFORD UNIVERSITY · PI NGUYEN, PATRICIA KIM PHUONG · 2017 to 2021
$2.1M
NHLBI NIH HHS R01 HL134830NHLBI NIH HHS R01 HL141712NHLBI NIH HHS R01 HL146754
6 · The paper itself

Abstract

objectivesIn this international, multicenter study, using third-generation dual-source computed tomography (CT), we investigated the diagnostic performance of dynamic stress CT myocardial perfusion imaging (CT-MPI) in addition to coronary CT angiography (CTA) compared to invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR).

backgroundCT-MPI combined with coronary CTA integrates coronary artery anatomy with inducible myocardial ischemia, showing promising results for the diagnosis of hemodynamically significant coronary artery disease in single-center studies.

methodsAt 9 centers in Europe, Japan, and the United States, 132 patients scheduled for ICA were enrolled; 114 patients successfully completed coronary CTA, adenosine-stress dynamic CT-MPI, and ICA. Invasive FFR was performed in vessels with 25% to 90% stenosis. Data were analyzed by independent core laboratories. For the primary analysis, for each coronary artery the presence of hemodynamically significant obstruction was interpreted by coronary CTA with CT-MPI compared to coronary CTA alone, using an FFR of ≤0.80 and angiographic severity as reference. Territorial absolute myocardial blood flow (MBF) and relative MBF were compared using C-statistics.

resultsICA and FFR identified hemodynamically significant stenoses in 74 of 289 coronary vessels (26%). Coronary CTA with ≥50% stenosis demonstrated a per-vessel sensitivity, specificity, and accuracy for the detection of hemodynamically significant stenosis of 96% (95% CI: 91%-100%), 72% (95% CI: 66%-78%), and 78% (95% CI: 73%-83%), respectively. Coronary CTA with CT-MPI showed a lower sensitivity (84%; 95% CI: 75%-92%) but higher specificity (89%; 95% CI: 85%-93%) and accuracy (88%; 95% CI: 84%-92%). The areas under the receiver-operating characteristic curve of absolute MBF and relative MBF were 0.79 (95% CI: 0.71-0.86) and 0.82 (95% CI: 0.74-0.88), respectively. The median dose-length product of CT-MPI and coronary CTA were 313 mGy·cm and 138 mGy·cm, respectively.

conclusionsDynamic CT-MPI offers incremental diagnostic value over coronary CTA alone for the identification of hemodynamically significant coronary artery disease. Generalized results from this multicenter study encourage broader consideration of dynamic CT-MPI in clinical practice. (Dynamic Stress Perfusion CT for Detection of Inducible Myocardial Ischemia [SPECIFIC]; NCT02810795).

Indexed as

Coronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialMyocardial Perfusion ImagingComputed Tomography AngiographyCoronary AngiographyHumansPerfusionPredictive Value of TestsTomography, X-Ray Computedcomputed tomography angiographycoronary artery diseasefractional flow reserveinvasive coronary angiographymyocardial ischemiamyocardial perfusion imaging

Identifiers

PMID34538630
PMCPMC8741746

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Registered trials

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