[C]氟马西尼在大鼠脑中结合的参数成像。
Parametric Imaging of [C]Flumazenil Binding in the Rat Brain.
机构信息
Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Laboratory of Medical Imaging, School of Physics, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.
出版信息
Mol Imaging Biol. 2018 Feb;20(1):114-123. doi: 10.1007/s11307-017-1098-2.
PURPOSE
This study evaluates the performance of several parametric methods for assessing [C]flumazenil binding distribution in the rat brain.
PROCEDURES
Dynamic (60 min) positron emission tomography data with metabolite-corrected plasma input function were retrospectively analyzed (male Wistar rats, n = 10). Distribution volume (V ) images were generated from basis function method (BFM), Logan graphical analysis (Logan), and spectral analysis (SA). Using the pons as pseudo-reference tissue, binding potential (BP and DVR-1) images were obtained from receptor parametric imaging algorithms (RPM and SRTM2) and reference Logan (RLogan). Standardized uptake value images (SUV and SUVR) were also computed for different intervals post-injection. Next, regional averages were extracted from the parametric images, using pre-defined volumes of interest, which were also applied to the regional time-activity curves from the dynamic data. Parametric data were compared to their regional counterparts and to two-tissue compartment model (2TCM)-based values (previously defined as the model of choice for rats). Parameter agreement was assessed by linear regression analysis and Bland-Altman plots.
RESULTS
All parametric methods strongly correlated to their regional counterparts (R > 0.97) and to the 2TCM values (R ≥ 0.95). SA and RLogan underestimated V and BP (slope of 0.93 and 0.86, respectively), while SUVR-1 overestimated BP (slope higher than 1.07 for all intervals). While BFM and SRTM2 had the smallest bias to 2TCM values (0.05 for both), ratio Bland-Altman plots showed Logan and RLogan displayed relative errors which were comparable between different regions, in contrast with the other methods. Although SUV consistently underestimated V , the bias in this method was also constant across regions.
CONCLUSIONS
All parametric methods performed well for the analysis of [C]flumazenil distribution and binding in the rat brain. However, Logan and RLogan slightly outperformed the other methods in terms of precision, providing robust parameter estimation and constant bias. Yet, other methods can be of interest, because they can provide tissue perfusion (i.e., K with BFM and SA), relative flow (i.e., R with RPM and SRTM2), and model order (SA) images.
目的
本研究评估了几种参数方法在评估大鼠脑内 [C]氟马西尼结合分布中的性能。
方法
对代谢校正的血浆输入函数的动态（60 分钟）正电子发射断层扫描数据进行回顾性分析（雄性 Wistar 大鼠，n=10）。使用基函数法（BFM）、Logan 图形分析（Logan）和谱分析（SA）生成分布容积（V）图像。使用桥脑作为伪参考组织，从受体参数成像算法（RPM 和 SRTM2）和参考 Logan（RLogan）获得结合势（BP 和 DVR-1）图像。还计算了不同注射后间隔的标准化摄取值图像（SUV 和 SUVR）。然后，从参数图像中提取区域平均值，使用预定义的感兴趣体积，也应用于动态数据的区域时间-活性曲线。将参数数据与其区域对应物和基于两组织隔室模型（2TCM）的值（之前定义为大鼠的首选模型）进行比较。通过线性回归分析和 Bland-Altman 图评估参数一致性。
结果
所有参数方法均与区域对应物（R＞0.97）和 2TCM 值（R≥0.95）高度相关。SA 和 RLogan 低估了 V 和 BP（斜率分别为 0.93 和 0.86），而 SUVR-1 高估了 BP（所有间隔的斜率均高于 1.07）。BFM 和 SRTM2 与 2TCM 值的偏差最小（均为 0.05），比值 Bland-Altman 图显示 Logan 和 RLogan 显示的相对误差在不同区域之间相当，与其他方法不同。虽然 SUV 始终低估了 V，但该方法的偏差在整个区域也是恒定的。
结论
所有参数方法在分析大鼠脑内 [C]氟马西尼分布和结合方面均表现良好。然而，与其他方法相比，Logan 和 RLogan 在精度方面略胜一筹，提供了稳健的参数估计和恒定的偏差。然而，其他方法可能也有意义，因为它们可以提供组织灌注（即 BFM 和 SA 的 K）、相对血流（即 RPM 和 SRTM2 的 R）和模型阶数（SA）图像。
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