Logan Jean
Chemistry Department, Brookhaven National Laboratory, Upton, NY 11973, USA.
Nucl Med Biol. 2003 Nov;30(8):833-44. doi: 10.1016/s0969-8051(03)00114-8.
Graphical techniques provide simple methods for the analysis of data from tracer studies. They provide considerable ease of computation compared to the optimization of individual model parameters in the solution of the differential equations generally used to describe the binding of tracers. The theoretical work of Patlak which was applied to irreversible tracers formed the basis for extensions of graphical techniques to reversibly binding tracers. The advantage of graphical methods is that they are not dependent upon a particular model structure but provide a measure of tracer binding that can be interpreted in terms of a model structure if desired. They provide a visual way to distinguish the type of binding whether reversible or irreversible in the initial studies of new ligands. Conditions under which the graphical techniques can be applied are considered as well as problems encountered with slow binding components. One problem in the use of these methods particularly the method for reversible tracers is the bias generated due to the presence of statistical noise. Some recently proposed techniques for reducing the noise are considered.
图形技术为示踪研究中的数据分析提供了简单的方法。与通常用于描述示踪剂结合的微分方程求解中单个模型参数的优化相比，它们极大地简化了计算。帕特拉的理论工作应用于不可逆示踪剂，为将图形技术扩展到可逆结合示踪剂奠定了基础。图形方法的优点是它们不依赖于特定的模型结构，而是提供了一种示踪剂结合的度量，如果需要，可以根据模型结构进行解释。在新配体的初步研究中，它们提供了一种直观的方式来区分结合类型是可逆还是不可逆。文中考虑了可应用图形技术的条件以及与缓慢结合成分相关的问题。使用这些方法尤其是可逆示踪剂方法时的一个问题是由于统计噪声的存在而产生的偏差。文中还考虑了一些最近提出的减少噪声的技术。
