title: Intermodel agreement of myocardial blood flow estimation from stress-rest myocardial perfusion magnetic resonance imaging in patients with coronary artery disease.
abstract: OBJECTIVE
  The aim of this study was to assess the intermodel agreement of different magnetic resonance myocardial perfusion models and evaluate their correspondence to stenosis diameter.
  
  
  METHODS
  In total, 260 myocardial segments were analyzed from rest and adenosine stress first-pass myocardial perfusion magnetic resonance images (1.5 T, 0.050 ± 0.005 mmol/kg body weight gadolinium; 122 segments in rest, 138 in stress) in 10 patients with suspected or known coronary artery disease. Signal intensity curves were calculated per myocardial segment, of which the contours were traced with QMASS MR V.7.6 (Medis, Leiden, the Netherlands), and exported to Matlab. Myocardial blood flow quantification was performed with distributed parameter, extended Toft, Patlak, and Fermi parametric models (in-house programs; Matlab R2013a; Mathworks Inc, Natick, MA). Modeling was applied after the signal intensity curves were corrected for spatial magnetic field inhomogeneity and contrast saturation. Overall and grouped perfusion values based on presence of coronary stenosis (>50% diameter reduction) at coronary computed tomography angiography at second generation dual-source computed tomography were compared between the perfusion models.
  
  
  RESULTS
  Rest and stress myocardial perfusion estimates for all models were significantly related to each other (P < 0.001). The highest correlation coefficients were found between the extended Toft and Fermi models (R = 0.89-0.91) and low correlation coefficients between the distributed parameter and Patlak models (R = 0.66-0.68). The models resulted in significantly different perfusion estimates in stress (P = 0.03), but not in rest (P = 0.74). The differences in perfusion estimates in stress were caused by differences between the distributed parameter and Patlak models and between the Patlak and Fermi models (both P < 0.001). Significantly lower perfusion estimates were found for myocardial segments subtended by coronary arteries with versus without significant stenosis, but only for estimations produced by the extended Toft model (P = 0.04) and Fermi model (P = 0.01). There were no significant differences in rest perfusion values between models.
  
  
  CONCLUSIONS
  Quantitative myocardial perfusion values in stress depend on the modeling method used to calculate the perfusion estimate. The difference in myocardial perfusion estimate with or without stenosis in the subtending coronary artery is most pronounced when the extended Toft or Fermi model is used.
authors.affiliation: From the *Center for Medical Imaging North-East Netherlands (CMI-NEN) and †Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; and ‡Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC.
authors.forename: Astri
authors.initials: A
authors.lastname: Handayani
authors.forename: Pandji
authors.initials: P
authors.lastname: Triadyaksa
authors.forename: Hildebrand
authors.initials: H
authors.lastname: Dijkstra
authors.forename: Gert Jan
authors.initials: GJ
authors.lastname: Pelgrim
authors.forename: Peter M A
authors.initials: PM
authors.lastname: van Ooijen
authors.forename: Niek H J
authors.initials: NH
authors.lastname: Prakken
authors.forename: U Joseph
authors.initials: UJ
authors.lastname: Schoepf
authors.forename: Matthijs
authors.initials: M
authors.lastname: Oudkerk
authors.forename: Rozemarijn
authors.initials: R
authors.lastname: Vliegenthart
authors.forename: Paul E
authors.initials: PE
authors.lastname: Sijens
mesh_terms: D003324:Coronary Artery Disease / Q000503:physiopathology*; D003326:Coronary Circulation / Q000502:physiology*; D005080:Exercise Test; D005260:Female; D006321:Heart / Q000503:physiopathology*; D006801:Humans; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results