Feng D, Wang X, Yan H
Basser Department of Computer Sciences, University of Sydney, N.S.W., Australia.
Comput Methods Programs Biomed. 1994 Nov;45(3):175-86. doi: 10.1016/0169-2607(94)90201-1.
Tracer kinetic modeling with positron emission tomography (PET) requires measurements of the time-activity curves in both plasma (PTAC) and tissue (TTAC) to estimate physiological parameters, i.e. to fit the parameters of certain compartmental models using PTAC and TTAC as the model input and output functions, respectively. In this paper, we first explored the optimal blood sampling schedule (OBSS) for the input function, based on the tracer [18F]2-fluoro-2-deoxy-D-glucose (FDG) blood sample experimental data. Then using a 5-parameter FDG model we investigated the effects of the plasma sampling schedule, as well as PTAC measurement noise, on the estimation accuracy and reliability of FDG model macro- and micro-parameters and the physiological parameter local cerebral metabolic rates of glucose (LCMRGlc), using computer simulation. Three different methods were used: (a) estimation of the FDG model parameters ignoring PTAC noise using the traditional PTAC schedule (non-OBSS); (b) estimation of the PTAC model parameters and FDG model parameters simultaneously using both non-OBSS and OBSS; (c) estimation of the PTAC model parameters first, then the FDG model parameters using both non-OBSS and OBSS. The results show that OBSS can provide more reliable estimates and largely simplifies the experiment operations.
使用正电子发射断层扫描（PET）进行示踪动力学建模需要测量血浆（PTAC）和组织（TTAC）中的时间-活性曲线，以估计生理参数，即分别使用PTAC和TTAC作为模型的输入和输出函数来拟合某些房室模型的参数。在本文中，我们首先基于示踪剂[18F]2-氟-2-脱氧-D-葡萄糖（FDG）血样实验数据，探索了输入函数的最佳采血时间表（OBSS）。然后，我们使用一个五参数FDG模型，通过计算机模拟研究了血浆采样时间表以及PTAC测量噪声对FDG模型宏观和微观参数以及生理参数局部脑葡萄糖代谢率（LCMRGlc）估计准确性和可靠性的影响。使用了三种不同的方法：（a）使用传统的PTAC时间表（非OBSS）忽略PTAC噪声估计FDG模型参数；（b）同时使用非OBSS和OBSS估计PTAC模型参数和FDG模型参数；（c）首先估计PTAC模型参数，然后使用非OBSS和OBSS估计FDG模型参数。结果表明，OBSS可以提供更可靠的估计，并且在很大程度上简化了实验操作。
