title: Optimized pharmacokinetic modeling for the detection of perfusion differences in skeletal muscle with DCE-MRI: effect of contrast agent size.
abstract: OBJECTIVE
  The goal of this study was to optimize dynamic contrast-enhanced (DCE)-MRI analysis for differently sized contrast agents and to evaluate the sensitivity for microvascular differences in skeletal muscle.
  
  
  METHODS
  In rabbits, pathophysiological perfusion differences between hind limbs were induced by unilateral femoral artery ligation. On days 14 and 21, DCE-MRI was performed using a medium-sized contrast agent (MCA) (Gadomer) or a small contrast agent (SCA) (Gd-DTPA). Acquisition protocols were adapted to the pharmacokinetic properties of the contrast agent. Model-based data analysis was optimized by selecting the optimal model, considering fit error, estimation uncertainty, and parameter interdependency from three two-compartment pharmacokinetic models (normal and extended generalized kinetic models and Patlak model). Model-based parameters were compared to the model-free parameter area-under-curve (AUC). Finally, the sensitivity of transfer constant Krans and AUC for physiological and pathophysiological microvascular differences was evaluated.
  
  
  RESULTS
  For the MCA, the optimal model included Ktrans and plasma fraction nu(p). For the SCA, Ktrans and interstitial fraction nu(e) should be incorporated. For the MCA, Ktrans were (4.8 +/- 0.2) x 10(-3) min(-1) (mean standard error) and (3.6 +/- 0.1) x 10(-3) min(-1) for the red soleus and white tibialis muscle, respectively, p < 0.01. With the SCA, Ktrans were (81 +/- 5) x 10(-3) min(-1) (soleus) and (66 +/- 5) x 10(-3) min(-1) (tibialis) p < 0.01. In the ischemic limb, Ktrans was significantly decreased relative to the control limb (soleus: 15%-20%; tibialis: 5%-10%). Similar differences in AUC were found for both contrast agents.
  
  
  CONCLUSIONS
  For optimal estimation of microvascular parameters, both model-based and model-free analysis should be adapted to the pharmacokinetic properties of the contrast agent. The detection of microvascular differences based on both Ktrans and AUC was most sensitive when the analysis strategy was tailored to the contrast agent used. The MCA was equally sensitive for microvascular differences as the SCA, with the advantage of improved spatial resolution.
authors.affiliation: Cardiovascular Research Institute Maastricht, 6200 MD Maastricht, The Netherlands.
authors.forename: Karolien
authors.initials: K
authors.lastname: Jaspers
authors.forename: Tim
authors.initials: T
authors.lastname: Leiner
authors.forename: Petra
authors.initials: P
authors.lastname: Dijkstra
authors.forename: Marlies
authors.initials: M
authors.lastname: Oostendorp
authors.forename: Jolanda M
authors.initials: JM
authors.lastname: van Golde
authors.forename: Mark J
authors.initials: MJ
authors.lastname: Post
authors.forename: Walter H
authors.initials: WH
authors.lastname: Backes
mesh_terms: D000818:Animals; D019540:Area Under Curve; D003287:Contrast Media / Q000494:pharmacology*; D007091:Image Processing, Computer-Assisted; D007700:Kinetics; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008833:Microcirculation; D008962:Models, Theoretical; D018482:Muscle, Skeletal / Q000473:pathology*; D010477:Perfusion; D010599:Pharmacokinetics; D011817:Rabbits; D012680:Sensitivity and Specificity; D013997:Time Factors
chemical_list: D003287:Contrast Media