Evidence map›Paper›PMID 30660522›Full record

ArticleJACC. Cardiovascular imaging2019

Microvascular Dysfunction in Dilated Cardiomyopathy: A Quantitative Stress Perfusion Cardiovascular Magnetic Resonance Study.

Ankur Gulati, Tevfik F Ismail, Aamir Ali, Li-Yueh Hsu, Carla Gonçalves, Nizar A Ismail, Kaushiga Krishnathasan, Natasha Davendralingam, Pedro Ferreira, Brian P Halliday and 11 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in JACC. Cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06356727 (Microvascular Dysfunction Assessment to Predict Left Ventricular Reverse Remodeling in Idiopathic Dilated Cardiomyopathy), which is not on this map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% 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.

NCT06356727 narecruitingnot on this mapstarted 2024, after this paper: background citation

Microvascular Dysfunction Assessment to Predict Left Ventricular Reverse Remodeling in Idiopathic Dilated Cardiomyopathy

TypeinterventionalSponsorAzienda Ospedaliera Universitaria Integrata VeronaRan2024 to 2030Enrolled190ConditionsHeart Failure, Left Ventricular Dysfunction, Idiopathic Dilated CardiomyopathyArmsThermodilution based assessment of coronary microcirculation
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Advances in Myocardial Perfusion MR Imaging: Physiological Implications, the Importance of Quantitative Analysis, and Impact on Patient Care in Coronary Artery Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Pooled it
  2. 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
  3. Article
  4. Article
  5. Microstructural disease and hypoperfusion in dilated cardiomyopathy underpin midwall septal fibrosis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Prognostic impact of angiography-derived index of microcirculatory resistance in patients with dilated cardiomyopathy.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Article
  14. Resting coronary flow and long-term clinical outcomes in dilated cardiomyopathy.The international journal of cardiovascular imaging · 2025
    Article
  15. Review
  16. Microvascular Dysfunction in Patients with Idiopathic Dilated Cardiomyopathy: Quantitative Assessment with Phase Contrast Cine MR Imaging of the Coronary Sinus.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  17. Review
  18. 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
  19. Association between coronary microvascular dysfunction and exercise capacity in dilated cardiomyopathy.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 5 institutions in 2 countries.

Ankur GulatiRoyal Brompton Hospital, London, United Kingdom.
Tevfik F IsmailKing's College London, London, United Kingdom.
Aamir AliRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
Li-Yueh HsuNational Institutes of Health, Bethesda, Maryland.
Carla GonçalvesRoyal Brompton Hospital, London, United Kingdom.
Nizar A IsmailRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
Kaushiga KrishnathasanRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
Natasha DavendralingamRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
Pedro FerreiraRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
Brian P HallidayRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
Daniel A JonesDepartment of Cardiology, Bart's Health NHS Trust, London, United Kingdom.
Ricardo WageRoyal Brompton Hospital, London, United Kingdom.
Simon NewsomeLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Peter GatehouseRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
David FirminRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
Andrew JabbourRoyal Brompton Hospital, London, United Kingdom.
Ravi G AssomullRoyal Brompton Hospital, London, United Kingdom.
Anthony MathurDepartment of Cardiology, Bart's Health NHS Trust, London, United Kingdom.
Dudley J PennellRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom. Electronic address: dj.pennell@rbht.nhs.uk.
Andrew E AraiNational Institutes of Health, Bethesda, Maryland.
Sanjay K PrasadRoyal Brompton Hospital, London, United Kingdom; Imperial College London, London, United Kingdom.
Royal Brompton Hospital · GBBarts Health NHS Trust · GBNational Institutes of Health · USKing's College London · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Technical Development of Diagnostic Cardiovascular MRIZIAHL004607 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2009 to 2020
$25.3M
Quantification of Myocardial PerfusionZIAHL006137 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2011 to 2020
$9.4M
MR of Heart Iron: T2*/T2 Calibration &ApplicationR01DK066084 · NIDDK · U OF L IMPERIAL COL OF SCI/TECHNLGY/MED · PI PENNELL, DUDLEY J · 2003 to 2006
$1.1M
British Heart Foundation FS/15/29/31492Department of Health PB-PG-1216-20028NIDDK NIH HHS R01 DK066084
6 · The paper itself

Abstract

objectivesThis study sought to quantify myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) in dilated cardiomyopathy (DCM) and examine the relationship between myocardial perfusion and adverse left ventricular (LV) remodeling.

backgroundAlthough regarded as a nonischemic condition, DCM has been associated with microvascular dysfunction, which is postulated to play a role in its pathogenesis. However, the relationship of the resulting perfusion abnormalities to myocardial fibrosis and the degree of LV remodeling is unclear.

methodsA total of 65 patients and 35 healthy control subjects underwent adenosine (140 μg/kg/min) stress perfusion cardiovascular magnetic resonance with late gadolinium enhancement imaging. Stress and rest MBF and MPR were derived using a modified Fermi-constrained deconvolution algorithm.

resultsPatients had significantly higher global rest MBF compared with control subjects (1.73 ± 0.42 ml/g/min vs. 1.14 ± 0.42 ml/g/min; p < 0.001). In contrast, global stress MBF was significantly lower versus control subjects (3.07 ± 1.02 ml/g/min vs. 3.53 ± 0.79 ml/g/min; p = 0.02), resulting in impaired MPR in the DCM group (1.83 ± 0.58 vs. 3.50 ± 1.45; p < 0.001). Global stress MBF (2.70 ± 0.89 ml/g/min vs. 3.44 ± 1.03 ml/g/min; p = 0.017) and global MPR (1.67 ± 0.61 vs. 1.99 ± 0.50; p = 0.047) were significantly reduced in patients with DCM with LV ejection fraction ≤35% compared with those with LV ejection fraction >35%. Segments with fibrosis had lower rest MBF (mean difference: -0.12 ml/g/min; 95% confidence interval: -0.23 to -0.01 ml/g/min; p = 0.035) and lower stress MBF (mean difference: -0.15 ml/g/min; 95% confidence interval: -0.28 to -0.03 ml/g/min; p = 0.013).

conclusionsPatients with DCM exhibit microvascular dysfunction, the severity of which is associated with the degree of LV impairment. However, rest MBF is elevated rather than reduced in DCM. If microvascular dysfunction contributes to the pathogenesis of DCM, then the underlying mechanism is more likely to involve stress-induced repetitive stunning rather than chronic myocardial hypoperfusion.

Indexed as

Coronary CirculationMagnetic Resonance Imaging, CineMicrocirculationVentricular Function, LeftVentricular RemodelingAdultCardiomyopathy, DilatedCase-Control StudiesContrast MediaFemaleFibrosisHumansMaleMiddle AgedMyocardial Perfusion ImagingMyocardiumContrast MediagadobutrolOrganometallic CompoundsVasodilator Agentscardiovascular magnetic resonance imagingdilated cardiomyopathymicrovascular dysfunctionmyocardial blood flowmyocardial perfusion imaging

Identifiers

PMID30660522
PMCPMC8616858
OpenAlexW2909342571

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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.