Quantification of dynamic contrast-enhanced MR imaging of the knee in children with juvenile rheumatoid arthritis based on pharmacokinetic modeling.

Improved management of arthritis requires a reliable, quantifiable, noninvasive method to monitor the degree of inflammation and therapeutic response during the early phase of the disease. For this purpose, the uptake of Gd-DTPA in the distal femoral physis and synovium in children with juvenile rheumatoid arthritis (JRA) was evaluated with a two-compartment pharmacokinetic model and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Employing a two-compartment pharmacokinetic model, the theoretical signal enhancement from Gd-DTPA enhanced dynamic 3D gradient-recalled echo (GRE) images was shown to have a simple linear relationship with tissue concentration independent of flip angle. The signal-enhancement patterns for each individual knee were found to be characterized by three pharmacokinetic parameters: k(ep) (min(-1)), the rate constant; k(el) (min(-1)), the elimination rate constant; and E(R) (min(-1)), the initial enhancement rate, which is proportional to the transfer constant K(trans) (min(-1)). Characteristic patterns were observed in the image signal intensity-time course. The initial enhancement rate, E(R), in regions of interest (ROIs) was found to have a wide range of variation: 5 to 38 min(-1) over the distal femoral physis and 1 to 10 min(-1) in the synovium. The E(R) of the synovium was correlated with the E(R) of the distal femoral physis (P<.05). In addition, the E(R) of the synovium was correlated to the clinical outcome measures of knee swelling. Further investigation is needed to determine whether wide variations in the pharmacokinetic parameters reflect the degree of disease activity, and whether there are changes in response to therapy. This method can also be applied in adults with rheumatoid arthritis (RA) and other disorders where T(1)-weighted contrast is used (breast cancer, brain tumors).

Quantitative MR characterization of disease activity in the knee in children with juvenile idiopathic arthritis: a longitudinal pilot study.

BACKGROUND: The development of a quantifiable and noninvasive method of monitoring disease activity and response to therapy is vital for arthritis management. OBJECTIVE: The purpose of this study was to investigate the utility of quantitative dynamic contrast-enhanced MRI (DCE-MRI) based on pharmacokinetic (PK) modeling to evaluate disease activity in the knee and correlate the results with the clinical assessment in children with juvenile idiopathic arthritis (JIA). MATERIALS AND METHODS: A group of 17 children with JIA underwent longitudinal clinical and laboratory assessment and DCE-MRI of the knee at enrollment, 3 months, and 12 months. A PK model was employed using MRI signal enhancement data to give three parameters, K(trans') (min(-1)), k(ep) (min(-1)), and V(p) (') and to calculate synovial volume. RESULTS: The PK parameters, synovial volumes, and clinical and laboratory assessments in most children were significantly decreased (P < 0.05) at 12 months when compared to the enrollment values. There was excellent correlation between the PK and synovial volume and the clinical and laboratory assessments. Differences in MR and clinical parameter values in individual subjects illustrate persistent synovitis when in clinical remission. CONCLUSION: A decrease in PK parameter values obtained from DCE-MRI in children with JIA likely reflects diminution of disease activity. This technique may be used as an objective follow-up measure of therapeutic efficacy in patients with JIA. MR imaging can detect persistent synovitis in patients considered to be in clinical remission.

Quantifying dynamic contrast-enhanced MRI of the knee in children with juvenile rheumatoid arthritis using an arterial input function (AIF) extracted from popliteal artery enhancement, and the effect of the choice of the AIF on the kinetic parameters.

Quantification of dynamic contrast-enhanced (DCE) MRI based on pharmacokinetic modeling requires specification of the arterial input function (AIF). A full representation of the plasma concentration data, including the initial rise and decay parts, considering the delay and dispersion of the bolus contrast is important. This work deals with modeling of DCE-MRI data from the knees of children with a history of juvenile rheumatoid arthritis (JRA) by using an AIF extracted from the signal enhancement data from the nearby popliteal artery. Three models for the AIFs were considered: a triexponential (AIF1), a gamma-variate plus a biexponential (AIF2), and a biexponential (AIF3). The pharmacokinetic parameters obtained from the model were Ktrans', kep, and V'p. The results from AIF1 and AIF2 showed no statistically significant difference. However, some statistically significant differences were seen with AIF3, particularly for parameters Ktrans' and V'p in the synovium (SNVM). These results suggest the importance of obtaining an appropriate AIF representation in pharmacokinetic modeling of JRA. Specifically, the initial rising part of the AIF should be incorporated for optimal pharmacokinetic modeling results. The pharmacokinetic parameters (mean+/-SD) derived from AIF1, using the average plasma concentration data, were as follows: SNVM Ktrans'(min-1)=0.52+/-0.34, kep(min-1)=0.71+/-0.39, and V'p=0.33+/-0.16, and for the distal femoral physis (DFP) Ktrans'(min-1)=1.83+/-1.78, kep(min-1)=2.65+/-1.80, and V'p=0.46+/-0.31. The pharmacokinetic parameters in the SNVM may be useful for investigating activity and therapeutic efficacy in studies of JRA. Longitudinal studies are necessary to find or demonstrate the parameter that is more sensitive to disease activity.