Klumpers Ursula M H, Boellaard Ronald, Veltman Dick J, Kloet Reina W, Hoogendijk Witte J G, Lammertsma Adriaan A
Neuroscience Campus Amsterdam, Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands.
Nucl Med Commun. 2012 Apr;33(4):422-30. doi: 10.1097/MNM.0b013e3283505f7b.
This [11C]flumazenil (FMZ) study evaluates the performance of various parametric analysis methods and their ability to detect statistically significant group differences.
Dynamic 60-min FMZ scans were performed in eight healthy and nine individuals with major depressive disorder. Parametric volume of distribution (VT) images were generated using a basis function method (BFM) implementation of the single tissue compartment model (1T) and Logan plot analysis, both with a metabolite-corrected arterial plasma input function. Parametric binding potential (BP ND) images were generated using multilinear reference tissue methods (MRTM0-4), reference Logan and receptor parametric mapping (RPM1-2), with pons as a reference region. Standardized uptake value (SUV) and SUV ratio-to-pons (SUVr) images were calculated over the time interval 30-40 and 20-60 min postinjection. The resulting VT, BP ND, SUV and SUVr values were compared with nonlinear regression values, using both the 1T model and the simplified reference tissue model. Statistical parametric mapping (SPM5) was used to detect group differences, with an emphasis on the bilateral parahippocampal gyri.
BFM was more accurate than Logan, but showed more variability. Both RPM methods and MRTM2 showed the best average correlation with the simplified reference tissue model. In using SPM, SUV and SUVr images provided the best contrast between groups in the parahippocampal gyri, but provided large underestimation and overestimation in quantitative comparisons. BFM and RPM methods allowed for the determination of perfusion effects.
Parametric Logan VT, MRTM2 and RPM1-2 BP ND methods allow the best quantitative comparison of FMZ binding between groups and show good discriminating performance in SPM analysis.
本[11C]氟马西尼（FMZ）研究评估了各种参数分析方法的性能及其检测具有统计学显著意义的组间差异的能力。
对8名健康个体和9名重度抑郁症患者进行了60分钟的FMZ动态扫描。使用单组织隔室模型（1T）的基函数方法（BFM）实现和Logan图分析生成分布容积（VT）参数图像，两者均采用代谢物校正的动脉血浆输入函数。使用多线性参考组织方法（MRTM0 - 4）、参考Logan和受体参数映射（RPM1 - 2），以脑桥作为参考区域生成参数结合潜能（BP ND）图像。在注射后30 - 40分钟和20 - 60分钟的时间间隔内计算标准化摄取值（SUV）和SUV与脑桥比值（SUVr）图像。使用1T模型和简化参考组织模型，将所得的VT、BP ND、SUV和SUVr值与非线性回归值进行比较。使用统计参数映射（SPM5）检测组间差异，重点关注双侧海马旁回。
BFM比Logan更准确，但变异性更大。RPM方法和MRTM2与简化参考组织模型的平均相关性最佳。在使用SPM时，SUV和SUVr图像在海马旁回中提供了最佳的组间对比度，但在定量比较中存在较大的低估和高估。BFM和RPM方法可用于确定灌注效应。
参数化Logan VT、MRTM2和RPM1 - 2 BP ND方法能够在组间对FMZ结合进行最佳的定量比较，并且在SPM分析中表现出良好的鉴别性能。
