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Fractional Flow Reserve

Abstract

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Fractional flow reserve derived from computed tomography coronary angiography in the assessment and management of stable chest pain: the FORECAST randomized trial Combined Assessment of Stress Myocardial Perfusion Cardiovascular Magnetic Resonance and Flow Measurement in the Coronary Sinus Improves Prediction of Functionally Significant Coronary Stenosis Determined by Fractional Flow Reserve in Multivessel Disease Relationship between fractional flow reserve value and the amount of subtended myocardium Clinical implications of three-vessel fractional flow reserve measurement in patients with coronary artery disease Lesion-Specific and Vessel-Related Determinants of Fractional Flow Reserve Beyond Coronary Artery Stenosis Fractional flow reserve in clinical practice: from wire-based invasive measurement to image-based computation Experience With an On-Site Coronary Computed Tomography-Derived Fractional Flow Reserve Algorithm for the Assessment of Intermediate Coronary Stenoses Five-Year Outcomes with PCI Guided by Fractional Flow Reserve

Review Article2018 Feb 1;252:229-233.

JOURNAL:Int J Cardiol. Article Link

Diagnostic performance of stress perfusion cardiac magnetic resonance for the detection of coronary artery disease: A systematic review and meta-analysis

Kiaos A, Tziatzios I, Karamitsos TD et al. Keywords: Cardiovascular magnetic resonance; Coronary artery disease; Diagnostic accuracy meta-analysis; Stress perfusion

ABSTRACT


INTRODUCTION - The purpose of this study was to investigate the accuracy of qualitative stress perfusion cardiac magnetic resonance (CMR) to diagnose ischemia-causing lesions according to different definitions of significant coronary artery disease (CAD), and magnetic field strength.


METHODS - We searched PubMed, Web of Science, and the Cochrane Library for studies evaluating diagnostic performance of qualitative stress perfusion CMR for diagnosis of CAD versus coronary angiography or fractionalflow reserve (FFR) from inception to 10 September 2017. We used hierarchical models to synthesize the available data.


RESULTS - Sixty-seven studies (7113 patients) met the inclusion criteria. The patient-based analysis of studies using FFR as the reference standard demonstrated a mean sensitivity of 0.90 (95% confidence interval [CI], 0.85-0.93) and a mean specificity of 0.85 (95% CI, 0.80-0.89). The patient-based analyses for detecting coronary stenosis ≥50% and coronary stenosis ≥70% at 1.5T and for detecting coronary stenosis ≥50% and coronary stenosis ≥70%, at 3T, demonstrated a mean sensitivity of 0.82 (95% CI, 0.79-0.84), 0.86 (95% CI, 0.83-0.89), 0.90 (95% CI, 0.82-0.95), and 0.91 (95% CI, 0.79-0.96), respectively; with a mean specificity of 0.75 (95% CI, 0.71-0.80), 0.77 (95% CI, 0.71-0.81), 0.79 (95% CI, 0.69-0.86), and 0.74 (95% CI, 0.59-0.85).


CONCLUSION - Qualitative stress perfusion CMR has high accuracy for the diagnosis of CAD, irrespective of the reference standard and the magnet strength. Studies using FFR as the reference standard had higher diagnostic accuracy on a patient level compared to studies using coronary angiography, with a notable difference in specificity.


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