OBJECTIVES: The aim of this study was to compare fully quantitative cardiovascular magnetic resonance (CMR) and positron emission tomography (PET) myocardial perfusion and myocardial perfusion reserve (MPR) measurements in patients with coronary artery disease (CAD). BACKGROUND: Absolute quantification of myocardial perfusion and MPR with PET have proven diagnostic and prognostic roles in patients with CAD. Quantitative CMR perfusion imaging has been established more recently and has been validated against PET in normal hearts. However, there are no studies comparing fully quantitative CMR against PET perfusion imaging in patients with CAD. METHODS: Forty-one patients with known or suspected CAD prospectively underwent quantitative (13)N-ammonia PET and CMR perfusion imaging before coronary angiography. RESULTS: The CMR-derived MPR (MPR(CMR)) correlated well with PET-derived measurements (MPR(PET)) (r = 0.75, p < 0.0001). MPR(CMR) and MPR(PET) for the 2 lowest scoring segments in each coronary territory also correlated strongly (r = 0.79, p < 0.0001). Absolute CMR perfusion values correlated significantly, but weakly, with PET values both at rest (r = 0.32; p = 0.002) and during stress (r = 0.37; p < 0.0001). Area under the receiver-operating characteristic curve for MPR(PET) to detect significant CAD was 0.83 (95% confidence interval: 0.73 to 0.94) and for MPR(CMR) was 0.83 (95% confidence interval: 0.74 to 0.92). An MPR(PET) ≤1.44 predicted significant CAD with 82% sensitivity and 87% specificity, and MPR(CMR) ≤1.45 predicted significant CAD with 82% sensitivity and 81% specificity. CONCLUSIONS: There is good correlation between MPR(CMR) and MPR(PET.) For the detection of significant CAD, MPR(PET) and MPR(CMR) seem comparable and very accurate. However, absolute perfusion values from PET and CMR are only weakly correlated; therefore, although quantitative CMR is clinically useful, further refinements are still required.
OBJECTIVES: The aim of this study was to compare fully quantitative cardiovascular magnetic resonance (CMR) and positron emission tomography (PET) myocardial perfusion and myocardial perfusion reserve (MPR) measurements in patients with coronary artery disease (CAD). BACKGROUND: Absolute quantification of myocardial perfusion and MPR with PET have proven diagnostic and prognostic roles in patients with CAD. Quantitative CMR perfusion imaging has been established more recently and has been validated against PET in normal hearts. However, there are no studies comparing fully quantitative CMR against PET perfusion imaging in patients with CAD. METHODS: Forty-one patients with known or suspected CAD prospectively underwent quantitative (13)N-ammonia PET and CMR perfusion imaging before coronary angiography. RESULTS: The CMR-derived MPR (MPR(CMR)) correlated well with PET-derived measurements (MPR(PET)) (r = 0.75, p < 0.0001). MPR(CMR) and MPR(PET) for the 2 lowest scoring segments in each coronary territory also correlated strongly (r = 0.79, p < 0.0001). Absolute CMR perfusion values correlated significantly, but weakly, with PET values both at rest (r = 0.32; p = 0.002) and during stress (r = 0.37; p < 0.0001). Area under the receiver-operating characteristic curve for MPR(PET) to detect significant CAD was 0.83 (95% confidence interval: 0.73 to 0.94) and for MPR(CMR) was 0.83 (95% confidence interval: 0.74 to 0.92). An MPR(PET) ≤1.44 predicted significant CAD with 82% sensitivity and 87% specificity, and MPR(CMR) ≤1.45 predicted significant CAD with 82% sensitivity and 81% specificity. CONCLUSIONS: There is good correlation between MPR(CMR) and MPR(PET.) For the detection of significant CAD, MPR(PET) and MPR(CMR) seem comparable and very accurate. However, absolute perfusion values from PET and CMR are only weakly correlated; therefore, although quantitative CMR is clinically useful, further refinements are still required.
Authors: Joseph B Selvanayagam; Adrian S H Cheng; Michael Jerosch-Herold; Kazem Rahimi; Italo Porto; William van Gaal; Keith M Channon; Stefan Neubauer; Adrian P Banning Journal: Circulation Date: 2007-09-04 Impact factor: 29.690
Authors: Tareq Ibrahim; Stephan G Nekolla; Karin Schreiber; Kenichi Odaka; Stefan Volz; Julinda Mehilli; Martin Güthlin; Wolfram Delius; Markus Schwaiger Journal: J Am Coll Cardiol Date: 2002-03-06 Impact factor: 24.094
Authors: J Schwitter; D Nanz; S Kneifel; K Bertschinger; M Büchi; P R Knüsel; B Marincek; T F Lüscher; G K von Schulthess Journal: Circulation Date: 2001-05-08 Impact factor: 29.690
Authors: Theodoros D Karamitsos; Lucia Leccisotti; Jayanth R Arnold; Alejandro Recio-Mayoral; Paul Bhamra-Ariza; Ruairidh K Howells; Nick Searle; Matthew D Robson; Ornella E Rimoldi; Paolo G Camici; Stefan Neubauer; Joseph B Selvanayagam Journal: Circ Cardiovasc Imaging Date: 2009-11-17 Impact factor: 7.792
Authors: Sergey V Nesterov; Chunlei Han; Maija Mäki; Sami Kajander; Alexandru G Naum; Hans Helenius; Irina Lisinen; Heikki Ukkonen; Mikko Pietilä; Esa Joutsiniemi; Juhani Knuuti Journal: Eur J Nucl Med Mol Imaging Date: 2009-04-30 Impact factor: 9.236
Authors: Nathan A Pack; Edward V R DiBella; Thomas C Rust; Dan J Kadrmas; Christopher J McGann; Regan Butterfield; Paul E Christian; John M Hoffman Journal: J Cardiovasc Magn Reson Date: 2008-11-12 Impact factor: 5.364
Authors: Andreas Schuster; Niloufar Zarinabad; Masaki Ishida; Matthew Sinclair; Jeroen Phm van den Wijngaard; Geraint Morton; Gilion Ltf Hautvast; Boris Bigalke; Pepijn van Horssen; Nicolas Smith; Jos Ae Spaan; Maria Siebes; Amedeo Chiribiri; Eike Nagel Journal: J Cardiovasc Magn Reson Date: 2014-10-14 Impact factor: 5.364
Authors: Federico E Mordini; Tariq Haddad; Li-Yueh Hsu; Peter Kellman; Tracy B Lowrey; Anthony H Aletras; W Patricia Bandettini; Andrew E Arai Journal: JACC Cardiovasc Imaging Date: 2014-01