Simultaneous estimation of physiological parameters and the input function -: In vivo PET data
Simultaneous estimation of physiological parameters and the input function -: In vivo PET data
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DOI：
10.1109/4233.908397
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发表时间：
2001-03-01
影响因子：
--
通讯作者：
Fulham, MJ
中科院分区：
文献类型：
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作者：
Wong, KP;Feng, DG;Fulham, MJ
正电子发射断层扫描（PET）的动态成像广泛用于[F-18]氟脱氧-D-葡萄糖（FDG）的局部脑葡萄糖代谢率（rCMRGlc）的体内测量，并用于神经系统疾病的临床评价。然而，除了获取动态图像外，连续动脉采血是获取血液中示踪剂时间-活度曲线的常规方法动脉线的插入以及随后的多个血液样品的收集和处理对于临床PET研究是不切实际的，因为它是侵入性的，具有远程，但真实的可能会产生肢体缺血，并且它使人员暴露在与处理血液相关的额外辐射和风险中。在本文中，我们以前提出的方法提取动力学参数的动态PET图像的基础上，我们开发了一个修改后的版本（后估计方法），以提高数值识别的参数估计，当我们处理从临床研究中获得的数据。我们应用这两种方法，动态神经FDG PET研究在三个成年人。我们发现，用我们的非侵入性方法获得的输入函数和参数估计值与从动脉血液采样的金标准方法估计的值一致，并且rCMRGlc估计值高度相关（r = 0.973），更重要的是，用我们的方法估算的rCMBGlc与金标准方法没有发现显著差异（P > 0，16），我们认为我们提出的非侵入性方法可能比现有的方法提供一个进步。
Dynamic imaging with positron emission tomography (PET) is widely used for the in vivo measurement of regional cerebral metabolic rate for glucose (rCMRGlc) with [F-18]fluorodeoxy-D-glucose (FDG) and is used for the clinical evaluation of neurological disease. However, in addition to the acquisition of dynamic images, continuous arterial blood sampling is the conventional method to obtain the tracer time-activity curve in blood (or plasma) for the numeric estimation of rCMRGlc in mg glucose/100-g tissue/min. The insertion of arterial lines and the subsequent collection and processing of multiple blood samples are impractical for clinical PET studies because it is invasive, has the remote, but real potential for producing limb ischemia, and it exposes personnel to additional radiation and risks associated with handling blood. In this paper, based on our previously proposed method for extracting kinetic parameters from dynamic PET images, we developed a modified version (post-estimation method) to improve the numerical identifiability of the parameter estimates when we deal with data obtained from clinical studies. We applied both methods to dynamic neurologic FDG PET studies in three adults. We found that the input function and parameter estimates obtained with our noninvasive methods agreed well with those estimated from the gold standard method of arterial blood sampling and that rCMRGlc estimates were highly correlated (r = 0,973), More importantly, no significant difference was found between rCMBGlc estimated by our methods and the gold standard method (P > 0,16), We suggest that our proposed noninvasive methods may offer an advance over existing methods.