Evidence map›Paper›PMID 39297850›Full record

ArticleJACC. Cardiovascular imaging2024

Myocardial Blood Flow Quantification Using Stress Cardiac Magnetic Resonance Improves Detection of Coronary Artery Disease.

Shuo Wang, Paul Kim, Haonan Wang, Ming-Yen Ng, Andrew E Arai, Amita Singh, Saima Mushtaq, Tsun Hei Sin, Yuko Tada, Elizabeth Hillier and 21 more

Abstract readMulticenter StudyComparative Study
In one paragraph

Article in JACC. Cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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.

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. 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
  2. Article
  3. Article
  4. Review
  5. Review
  6. Proinflammatory and cytotoxic CD38American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026
    Article
  7. Review
  8. Coronary microvascular dysfunction in systemic inflammatory diseases: From pathophysiology and prevalence to diagnosis and management.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025
    Review
  9. Review
  10. Myocardial blood flow quantification in patients with an implanted cardiodefibrillator during stress and at rest using a wideband perfusion pulse sequence: an initial feasibility study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
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

31 authors.

Shuo WangDivision of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.
Paul KimDivision of Medicine, University of California-San Diego, San Diego, California, USA.
Haonan WangGE HealthCare, Waukesha, Wisconsin, USA.
Ming-Yen NgDepartment of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Andrew E AraiDivision of Cardiovascular Medicine and Department of Radiology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Amita SinghDepartment of Cardiology, Central DuPage Hospital, Winfield, Illinois, USA.
Saima MushtaqDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Tsun Hei SinDepartment of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Yuko TadaDivision of Medicine, University of California-San Diego, San Diego, California, USA.
Elizabeth HillierDepartment of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Quebec, Canada; University of Alberta, Edmonton, Alberta, Canada.
Ruyun JinDepartment of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
Christian Østergaard MariagerDepartment of Nuclear Medicine and PET Center, Aarhus University Hospital, Aarhus, Denmark.
Michael SalernoDepartment of Cardiology, Stanford University, Stanford, California, USA.
Gianluca PontoneDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
Javier Urmeneta UlloaDepartment of Cardiology, Hospital Universitario Quironsalud, Madrid, Spain.
Ibrahim M SaeedVirginia Heart, Falls Church, Virginia, USA; Inova Schar Heart and Vascular, Fairfax, Virginia, USA.
Hena PatelDepartment of Medicine, University of Chicago, Chicago, Illinois, USA.
Victor GohHong Kong Sanatorium and Hospital, Hong Kong, China.
Simon MadsenDepartment of Nuclear Medicine and PET Center, Aarhus University Hospital, Aarhus, Denmark.
Won Yong KimDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Mayil Singram KrishnamDepartment of Diagnostic Radiology, Stanford University, Stanford, California, USA.
Vicente Martínez de VegaDepartment of Cardiology, Hospital Universitario Quironsalud, Madrid, Spain.
Alicia M MaceiraDepartment of Cardiology, Ascires Biomedical Group, Valencia, Spain.
Jose V MonmeneuDepartment of Cardiology, Ascires Biomedical Group, Valencia, Spain.
Aju P PazhenkottilDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Alborz Amir-KhaliliCircle Cardiovascular Imaging, Calgary, Alberta, Canada.
Mitchel BenovoyArea19 Medical, Montreal, Quebec, Canada.
Silke FriedrichArea19 Medical, Montreal, Quebec, Canada.
Martin A JanichGE HealthCare, Munich, Germany.
Matthias G FriedrichDepartment of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Quebec, Canada; Research Institute, McGill University Health Centre, Montreal, Quebec, Canada.
Amit R PatelDivision of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, Virginia, USA. Electronic address: apatel@virginia.edu.

Funding

MULTIDISCIPLINARY CARDIAC SCIENCEST32HL007381 · NHLBI · UNIVERSITY OF CHICAGO · PI JEANNE M DECARA, Yoav Gilad · 1985 to 2026
$12.5M
NHLBI NIH HHS T32 HL007381
6 · The paper itself

Abstract

backgroundMyocardial blood flow (MBF) and myocardial perfusion reserve (MPR) using stress cardiovascular magnetic resonance (CMR) have been shown to identify epicardial coronary artery disease. However, comparative analysis between quantitative perfusion and conventional qualitative assessment (QA) remains limited.

objectivesThe aim of this multicenter study was to test the hypothesis that quantitative stress MBF (sMBF) and MPR analysis can identify obstructive coronary artery disease (obCAD) with comparable performance as QA of stress CMR performed by experienced physicians in interpretation.

methodsThe analysis included 127 individuals (mean age 62 ± 16 years, 84 men [67%]) who underwent stress CMR. obCAD was defined as the presence of stenosis ≥50% in the left main coronary artery or ≥70% in a major vessel. Each patient, coronary territory, and myocardial segment was categorized as having either obCAD or no obCAD (noCAD). Global, per coronary territory, and segmental MBF and MPR values were calculated. QA was performed by 4 CMR experts.

resultsAt the patient level, global sMBF and MPR were significantly lower in subjects with obCAD than in those with noCAD, with median values of sMBF of 1.5 mL/g/min (Q1-Q3: 1.2-1.8 mL/g/min) vs 2.4 mL/g/min (Q1-Q3: 2.1-2.7 mL/g/min) (P < 0.001) and median values of MPR of 1.3 (Q1-Q3: 1.0-1.6) vs 2.1 (Q1-Q3: 1.6-2.7) (P < 0.001). At the coronary artery level, sMBF and MPR were also significantly lower in vessels with obCAD compared with those with noCAD. Global sMBF and MPR had areas under the curve (AUCs) of 0.90 (95% CI: 0.84-0.96) and 0.86 (95% CI: 0.80-0.93). The AUCs for QA by 4 physicians ranged between 0.69 and 0.88. The AUC for global sMBF and MPR was significantly better than the average AUC for QA.

conclusionsThis study demonstrates that sMBF and MPR using dual-sequence stress CMR can identify obCAD more accurately than qualitative analysis by experienced CMR readers.

Indexed as

Coronary Artery DiseaseCoronary CirculationCoronary StenosisMyocardial Perfusion ImagingPredictive Value of TestsAgedBlood Flow VelocityCoronary VesselsFemaleFractional Flow Reserve, MyocardialHumansMagnetic Resonance Imaging, CineMaleMiddle AgedReproducibility of ResultsSeverity of Illness Indexobstructive coronary artery diseasequantitative perfusionstress cardiovascular magnetic resonance

Identifiers

PMID39297850
PMCPMC13333205

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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.