Workie Dagnachew W, Dardzinski Bernard J
Department of Physics, University of Cincinnati, Cincinnati, Ohio 45229-3039, USA.
Magn Reson Med. 2005 Sep;54(3):560-8. doi: 10.1002/mrm.20597.
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.
基于药代动力学模型的动态对比增强(DCE)MRI定量分析需要确定动脉输入函数(AIF)。考虑到大剂量造影剂的延迟和弥散,完整呈现血浆浓度数据,包括初始上升和衰减部分,非常重要。本研究通过使用从附近腘动脉的信号增强数据中提取的AIF,对有幼年类风湿性关节炎(JRA)病史儿童的膝关节DCE-MRI数据进行建模。考虑了三种AIF模型:三指数模型(AIF1)、伽马变量加双指数模型(AIF2)和双指数模型(AIF3)。从模型中获得的药代动力学参数为Ktrans'、kep和V'p。AIF1和AIF2的结果显示无统计学显著差异。然而,AIF3存在一些统计学显著差异,特别是在滑膜(SNVM)中的Ktrans'和V'p参数。这些结果表明在JRA的药代动力学建模中获得合适的AIF表示的重要性。具体而言,应纳入AIF的初始上升部分以获得最佳药代动力学建模结果。使用平均血浆浓度数据从AIF1得出的药代动力学参数(平均值±标准差)如下:SNVM的Ktrans'(min-1)=0.52±0.34,kep(min-1)=0.71±0.39,V'p=0.33±0.16;股骨远端骨骺(DFP)的Ktrans'(min-1)=1.83±1.78,kep(min-1)=2.65±1.80,V'p=0.46±0.31。SNVM中的药代动力学参数可能有助于在JRA研究中调查疾病活动和治疗效果。需要进行纵向研究以找到或证明对疾病活动更敏感的参数。