ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2016
Quantitative assessment of myocardial blood flow in coronary artery disease by cardiovascular magnetic resonance: comparison of Fermi and distributed parameter modeling against invasive methods.
Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01368237 (Dynamic Myocardial Perfusion Imaging by 320 Multidetector Computed Tomography), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
Dynamic Myocardial Perfusion Imaging by 320 Multidetector Computed Tomography
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: a meta-analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017Pooled it
- Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis.Sensors (Basel, Switzerland) · 2022Article
- Direct Comparison of Bayesian and Fermi Deconvolution Approaches for Myocardial Blood Flow Quantification:Frontiers in physiology · 2021Article
- Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia.Nature reviews. Cardiology · 2020Article
- Diagnostic Accuracy of Cardiac Magnetic Resonance Versus Fractional Flow Reserve: A Systematic Review and Meta-Analysis.Cardiology research · 2020Article
- Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction: Validation Against Invasive Coronary Physiology.JACC. Cardiovascular imaging · 2019Article
- Journal of Cardiovascular Magnetic Resonance 2017.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018Review
- Multimodality quantitative assessments of myocardial perfusion using dynamic contrast enhanced magnetic resonance andIEEE transactions on radiation and plasma medical sciences · 2018Article
- Data on diagnostic performance of stress perfusion cardiac magnetic resonance for coronary artery disease detection at the vessel level.Data in brief · 2018Article
- Review of Journal of Cardiovascular Magnetic Resonance (JCMR) 2015-2016 and transition of the JCMR office to Boston.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017Review
- 3.0 T magnetic resonance myocardial perfusion imaging for semi-quantitative evaluation of coronary microvascular dysfunction in hypertrophic cardiomyopathy.The international journal of cardiovascular imaging · 2017Article
- Coronary angiogenic effect of long-term administration of Nigella sativa.BMC complementary and alternative medicine · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundMathematical modeling of perfusion cardiovascular magnetic resonance (CMR) data allows absolute quantification of myocardial blood flow and can potentially improve the diagnosis and prognostication of obstructive coronary artery disease (CAD), against the current clinical standard of visual assessments. This study compares the diagnostic performance of distributed parameter modeling (DP) against the standard Fermi model, for the detection of obstructive CAD, in per vessel against per patient analysis.
methodsA pilot cohort of 28 subjects (24 included in the final analysis) with known or suspected CAD underwent adenosine stress-rest perfusion CMR at 3T. Data were analysed using Fermi and DP modeling against invasive coronary angiography and fractional flow reserve, acquired in all subjects. Obstructive CAD was defined as luminal stenosis of ≥70 % alone, or luminal stenosis ≥50 % and fractional flow reserve ≤0.80.
resultsOn ROC analysis, DP modeling outperformed the standard Fermi model, in per vessel and per patient analysis. In per patient analysis, DP modeling-derived myocardial blood flow at stress demonstrated the highest sensitivity and specificity (0.96, 0.92) in detecting obstructive CAD, against Fermi modeling (0.78, 0.88) and visual assessments (0.79, 0.88), respectively.
conclusionsDP modeling demonstrated consistently increased diagnostic performance against Fermi modeling and showed that it may have merit for stratifying patients with at least one vessel with obstructive CAD.
trial registrationCLINICAL
trial registrationClinicaltrials.gov NCT01368237 Registered 6 of June 2011. URL: https://clinicaltrials.gov/ct2/show/NCT01368237.
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