Evidence map›Paper›PMID 29153572›Full record

ArticleJACC. Cardiovascular imaging2018

Prognostic Value of Quantitative Stress Perfusion Cardiac Magnetic Resonance.

Eva C Sammut, Adriana D M Villa, Gabriella Di Giovine, Luke Dancy, Filippo Bosio, Thomas Gibbs, Swarna Jeyabraba, Susanne Schwenke, Steven E Williams, Michael Marber and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in JACC. Cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06854458 (The Multicenter Stress Cardiac Magnetic Resonance Quantitative Perfusion Imaging in the United States), which is not on this map. Cited by 58 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 4 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.

NCT06854458 narecruitingnot on this mapstarted 2025, after this paper: background citation

The Multicenter Stress Cardiac Magnetic Resonance Quantitative Perfusion Imaging in the United States (SPINS2) Study

TypeinterventionalSponsorBrigham and Women's HospitalRan2025 to 2029Enrolled1,000ConditionsIschemic Heart Disease (IHD), Cardiac Magnetic Resonance Imaging, Myocardial Blood FlowArmsQuantitative Myocardial Blood Flow Evaluation, Qualitative Myocardial Blood Flow Evaluation, Gadavist, Vasodilator, Blood draw for the laboratory assessment
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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
  3. Guideline
  4. 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
  5. Trial
  6. Importance of operator training and rest perfusion on the diagnostic accuracy of stress perfusion cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Trial
  7. Review
  8. Review
  9. Prognostic Value of Regadenoson Stress Perfusion CMR.Medical sciences (Basel, Switzerland) · 2026
    Article
  10. Article
  11. 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
  12. Visually assessed ischemia on cardiac magnetic resonance, but not quantitative perfusion metrics, predicts symptomatic improvement in coronary artery bypass.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Hypertensive Heart Disease-The Imaging Perspective.Journal of clinical medicine · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Eva C SammutSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Bristol Heart Institute, Bristol, United Kingdom.
Adriana D M VillaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Gabriella Di GiovineSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Luke DancyDepartment of Cardiology, King's College Hospital, London, United Kingdom.
Filippo BosioSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Thomas GibbsSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Swarna JeyabrabaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Susanne SchwenkeSCOSSiS Statistical Consulting, Berlin, Germany.
Steven E WilliamsSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Michael MarberCardiovascular Division, King's College London, London, United Kingdom.
Khaled AlfakihSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Tevfik F IsmailSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Reza RazaviSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Amedeo ChiribiriSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom. Electronic address: amedeo.chiribiri@kcl.ac.uk.

Funding

Wellcome TrustWellcome Trust WT088641/Z/09/Z
6 · The paper itself

Abstract

objectivesThis study sought to evaluate the prognostic usefulness of visual and quantitative perfusion cardiac magnetic resonance (CMR) ischemic burden in an unselected group of patients and to assess the validity of consensus-based ischemic burden thresholds extrapolated from nuclear studies.

backgroundThere are limited data on the prognostic value of assessing myocardial ischemic burden by CMR, and there are none using quantitative perfusion analysis.

methodsPatients with suspected coronary artery disease referred for adenosine-stress perfusion CMR were included (n = 395; 70% male; age 58 ± 13 years). The primary endpoint was a composite of cardiovascular death, nonfatal myocardial infarction, aborted sudden death, and revascularization after 90 days. Perfusion scans were assessed visually and with quantitative analysis. Cross-validated Cox regression analysis and net reclassification improvement were used to assess the incremental prognostic value of visual or quantitative perfusion analysis over a baseline clinical model, initially as continuous covariates, then using accepted thresholds of ≥2 segments or ≥10% myocardium.

resultsAfter a median 460 days (interquartile range: 190 to 869 days) follow-up, 52 patients reached the primary endpoint. At 2 years, the addition of ischemic burden was found to increase prognostic value over a baseline model of age, sex, and late gadolinium enhancement (baseline model area under the curve [AUC]: 0.75; visual AUC: 0.84; quantitative AUC: 0.85). Dichotomized quantitative ischemic burden performed better than visual assessment (net reclassification improvement 0.043 vs. 0.003 against baseline model).

conclusionsThis study was the first to address the prognostic benefit of quantitative analysis of perfusion CMR and to support the use of consensus-based ischemic burden thresholds by perfusion CMR for prognostic evaluation of patients with suspected coronary artery disease. Quantitative analysis provided incremental prognostic value to visual assessment and established risk factors, potentially representing an important step forward in the translation of quantitative CMR perfusion analysis to the clinical setting.

Indexed as

Coronary CirculationMagnetic Resonance Imaging, CineAdenosineAdultAgedCoronary Artery DiseaseDisease ProgressionFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingPredictive Value of TestsPrognosisRisk FactorsTime FactorsAdenosineVasodilator Agentscardiac magnetic resonanceperfusionprognosisquantitative perfusion analysis

Identifiers

PMID29153572
PMCPMC5952817

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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.