Robert Manka1, Lukas Wissmann1, Rolf Gebker1, Roy Jogiya1, Manish Motwani1, Michael Frick1, Sebastian Reinartz1, Bernhard Schnackenburg1, Markus Niemann1, Alexander Gotschy1, Christiane Kuhl1, Eike Nagel1, Eckart Fleck1, Nikolaus Marx1, Thomas F Luescher1, Sven Plein1, Sebastian Kozerke2. 1. From the University and ETH Zurich, Zurich, Switzerland (R.M., L.W., S.K.); University Heart Center, University Hospital Zurich, Zurich, Switzerland (R.M., M.N., A.G., T.F.L.); German Heart Institute, Berlin, Germany (R.G., B.S., E.F.); King's College London, London, United Kingdom (R.J., E.N.); University of Leeds, Leeds, United Kingdom (M.M., S.P.); and University Hospital RWTH Aachen, Germany (M.F., S.R., C.K., N.M.). 2. From the University and ETH Zurich, Zurich, Switzerland (R.M., L.W., S.K.); University Heart Center, University Hospital Zurich, Zurich, Switzerland (R.M., M.N., A.G., T.F.L.); German Heart Institute, Berlin, Germany (R.G., B.S., E.F.); King's College London, London, United Kingdom (R.J., E.N.); University of Leeds, Leeds, United Kingdom (M.M., S.P.); and University Hospital RWTH Aachen, Germany (M.F., S.R., C.K., N.M.). kozerke@biomed.ee.ethz.ch.
Abstract
BACKGROUND: First-pass myocardial perfusion cardiovascular magnetic resonance (CMR) imaging yields high diagnostic accuracy for the detection of coronary artery disease (CAD). However, standard 2D multislice CMR perfusion techniques provide only limited cardiac coverage, and hence considerable assumptions are required to assess myocardial ischemic burden. The aim of this prospective study was to assess the diagnostic performance of 3D myocardial perfusion CMR to detect functionally relevant CAD with fractional flow reserve (FFR) as a reference standard in a multicenter setting. METHODS AND RESULTS: A total of 155 patients with suspected CAD listed for coronary angiography with FFR were prospectively enrolled from 5 European centers. 3D perfusion CMR was acquired on 3T MR systems from a single vendor under adenosine stress and at rest. All CMR perfusion analyses were performed in a central laboratory and blinded to all clinical data. One hundred fifty patients were successfully examined (mean age 62.9±10 years, 45 female). The prevalence of CAD defined by FFR (<0.8) was 56.7% (85 of 150 patients). The sensitivity and specificity of 3D perfusion CMR were 84.7% and 90.8% relative to the FFR reference. Comparison to quantitative coronary angiography (≥50%) yielded a prevalence of 65.3%, sensitivity and specificity of 76.5% and 94.2%, respectively. CONCLUSIONS: In this multicenter study, 3D myocardial perfusion CMR proved highly diagnostic for the detection of significant CAD as defined by FFR.
BACKGROUND: First-pass myocardial perfusion cardiovascular magnetic resonance (CMR) imaging yields high diagnostic accuracy for the detection of coronary artery disease (CAD). However, standard 2D multislice CMR perfusion techniques provide only limited cardiac coverage, and hence considerable assumptions are required to assess myocardial ischemic burden. The aim of this prospective study was to assess the diagnostic performance of 3D myocardial perfusion CMR to detect functionally relevant CAD with fractional flow reserve (FFR) as a reference standard in a multicenter setting. METHODS AND RESULTS: A total of 155 patients with suspected CAD listed for coronary angiography with FFR were prospectively enrolled from 5 European centers. 3D perfusion CMR was acquired on 3T MR systems from a single vendor under adenosine stress and at rest. All CMR perfusion analyses were performed in a central laboratory and blinded to all clinical data. One hundred fifty patients were successfully examined (mean age 62.9±10 years, 45 female). The prevalence of CAD defined by FFR (<0.8) was 56.7% (85 of 150 patients). The sensitivity and specificity of 3D perfusion CMR were 84.7% and 90.8% relative to the FFR reference. Comparison to quantitative coronary angiography (≥50%) yielded a prevalence of 65.3%, sensitivity and specificity of 76.5% and 94.2%, respectively. CONCLUSIONS: In this multicenter study, 3D myocardial perfusion CMR proved highly diagnostic for the detection of significant CAD as defined by FFR.
Authors: Yang Yang; Craig H Meyer; Frederick H Epstein; Christopher M Kramer; Michael Salerno Journal: Magn Reson Med Date: 2018-10-12 Impact factor: 4.668
Authors: Yang Yang; Li Zhao; Xiao Chen; Peter W Shaw; Jorge A Gonzalez; Frederick H Epstein; Craig H Meyer; Christopher M Kramer; Michael Salerno Journal: Magn Reson Med Date: 2017-03-20 Impact factor: 4.668
Authors: Jochen von Spiczak; Manoj Mannil; Hanna Model; Chris Schwemmer; Sebastian Kozerke; Frank Ruschitzka; Hatem Alkadhi; Robert Manka Journal: Radiol Cardiothorac Imaging Date: 2020-04-16
Authors: Jason Kraig Mendes; Ganesh Adluru; Devavrat Likhite; Merlin J Fair; Peter D Gatehouse; Ye Tian; Apoorva Pedgaonkar; Brent Wilson; Edward V R DiBella Journal: Magn Reson Med Date: 2019-10-31 Impact factor: 4.668
Authors: S Oebel; S Hamada; K Higashigaito; J von Spiczak; E Klotz; F Enseleit; R Hinzpeter; F Ruschitzka; R Manka; H Alkadhi Journal: Eur Radiol Date: 2018-04-30 Impact factor: 5.315