Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Neuroimage. 2012 Mar;60(1):241-51. doi: 10.1016/j.neuroimage.2011.12.014. Epub 2011 Dec 16.
Logan graphical analysis with cerebellum as reference region has been widely used for the estimation of the distribution volume ratio (DVR) of [(18)F]FDDNP as a measure of amyloid burden and tau deposition in human brain because of its simplicity and computational ease. However, spurious parametric DVR images may be produced with shorter scanning times and when the noise level is high. In this work, we have characterized a relative-equilibrium-based (RE) graphical method against the Logan analysis for parametric imaging and region-of-interest (ROI) analysis.
Dynamic [(18)F]FDDNP PET scans were performed on 9 control subjects and 12 patients diagnosed with Alzheimer's disease. Using the cerebellum as reference input, regional DVR estimates were derived using both the Logan analysis and the RE plot approach. Effects on DVR estimates obtained at voxel and ROI levels by both graphical approaches using data in different time windows were investigated and compared with the standard values derived using the Logan analysis on a voxel-by-voxel basis for the time window of 35-125 min used in previous studies.
Larger bias and variability were observed for DVR estimates obtained by the Logan graphical analysis at the voxel level when short time windows (85-125 and 45-65 min) were used, because of high noise levels in voxel-wise parametric imaging. However, when the Logan graphical analysis was applied at the ROI level over those short time windows, the DVR estimates did not differ significantly from the standard values derived using the Logan analysis on the voxel level for the time window of 35-125 min, and their bias and variability were remarkably lower. Conversely, the RE plot approach was more robust in providing DVR estimates with less bias and variability even when short time windows were used. The DVR estimates obtained at voxel and ROI levels were consistent. No significant differences were observed in DVR estimates obtained by the RE plot approach for all paired comparisons with the standard values.
The RE plot approach provides less noisy parametric images and gives consistent and reliable regional DVR estimates at both voxel and ROI levels, indicating that it is preferred over the Logan graphical analysis for analyzing [(18)F]FDDNP PET data.
由于其简单性和计算便利性,以小脑为参照区域的 Logan 图形分析已被广泛用于估计 [(18)F]FDDNP 的分布容积比 (DVR),以作为人脑淀粉样蛋白负荷和 tau 沉积的测量。然而,在较短的扫描时间和高噪声水平下,可能会产生虚假的参数 DVR 图像。在这项工作中,我们对基于相对平衡的 (RE) 图形方法进行了特征描述,以对抗 Logan 分析进行参数成像和感兴趣区域 (ROI) 分析。
对 9 名对照受试者和 12 名被诊断为阿尔茨海默病的患者进行 [(18)F]FDDNP PET 动态扫描。使用小脑作为参照输入,使用 Logan 分析和 RE 图谱方法得出区域 DVR 估计值。研究了两种图形方法在不同时间窗口下对体素和 ROI 水平上 DVR 估计值的影响,并与以前研究中使用的 35-125min 时间窗口内基于体素的 Logan 分析得出的标准值进行了比较。
当使用短时间窗口(85-125 和 45-65min)时,由于体素水平参数成像中的高噪声水平,通过 Logan 图形分析获得的 DVR 估计值存在较大的偏差和变异性。然而,当在这些短时间窗口内将 Logan 图形分析应用于 ROI 水平时,DVR 估计值与以前研究中使用的 35-125min 时间窗口内基于体素的 Logan 分析得出的标准值没有显著差异,并且它们的偏差和变异性明显降低。相反,即使使用短时间窗口,RE 图谱方法也能更稳健地提供偏差和变异性较小的 DVR 估计值。在体素和 ROI 水平上获得的 DVR 估计值是一致的。与标准值相比,通过 RE 图谱方法获得的 DVR 估计值在所有配对比较中均无显著差异。
RE 图谱方法提供了噪声较小的参数图像,并在体素和 ROI 水平上提供了一致且可靠的区域 DVR 估计值,表明它优于 Logan 图形分析,可用于分析 [(18)F]FDDNP PET 数据。