Skip to content


  • Poster presentation
  • Open Access

Myocardial perfusion MRI compared to fractional flow reserve: a meta-analysis

  • 1, 2,
  • 1,
  • 1 and
  • 1
Journal of Cardiovascular Magnetic Resonance201517 (Suppl 1) :P231

  • Published:


  • Artery Stenosis
  • Fractional Flow Reserve
  • Coronary Stenosis
  • Patient Level
  • Coronary Artery Stenosis


Myocardial perfusion MRI is a technique that allows for detection myocardial ischemia. The goal of this meta-analysis is to determine the diagnostic accuracy of Myocardial perfusion MRI compared to fractional flow reserve (FFR) for the diagnosis of hemodynamically significant coronary artery stenosis.


This meta-analysis was performed in adherence to the PRISMA statement. Two reviewers systematically searched PubMed, EMBASE and Web of Science, using predefined inclusion and exclusion criteria. Only studies using invasive coronary angiography combined with FFR for assessment of intermediate coronary stenoses were included. The QUADAS-2 criteria were applied for quality appraisal. A random-effects model was used for computing pooled sensitivity, specificity, likelihood ratios, and the diagnostic odds ratio. Analyses were performed on both vessel and patient levels.


In total, 15 studies (1830 vessels/798 patients) satisfied the predefined inclusion criteria. At the vessel level MRI performed very good with a pooled sensitivity of 0.87 (95% CI 0.84, 0.90) and a pooled specificity of 0.91 (95% CI 0.89, 0.92). At patient level the results were similar with a pooled sensitivity of 0.89 (95% CI 0.86, 0.92) and a pooled specificity of 0.87 (95% CI 0.83, 0.90).


Myocardial perfusion MRI is a highly accurate technique to detect flow limiting coronary stenosis and has the potential to function as a gatekeeper for invasive angiography.

Authors’ Affiliations

Radiology, UMC Utrecht, Utrecht, Netherlands
Radiology, MGH, Boston, MA, USA


© Takx et al; licensee BioMed Central Ltd. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.