Frankle W Gordon, Slifstein Mark, Gunn Roger N, Huang Yiyun, Hwang Dah-Ren, Darr E Ashlie, Narendran Rajesh, Abi-Dargham Anissa, Laruelle Marc
Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York State Psychiatric Institute, New York, NY 10032, USA.
J Nucl Med. 2006 May;47(5):815-26.
The aim of the present study was to define the optimal analytic method to derive accurate and reliable serotonin transporter (SERT) receptor parameters with (11)C-3-amino-4-(2-[(dimethylamino)methyl]phenylthio)benzonitrile ((11)C-DASB).
Nine healthy subjects (5 females, 4 males) underwent two (11)C-DASB PET scans on the same day. Five analytic methods were used to estimate binding parameters in 10 brain regions: compartmental modeling with 1- and 2-tissue compartment models (1TC and 2TC), data-driven estimation of parametric images based on compartmental theory (DEPICT) analysis, graphical analysis, and the simplified reference tissue model (SRTM). Two variations in the fitting procedure of the SRTM method were evaluated: nonlinear optimization and basis function approach. The test/retest variability (VAR) and intraclass correlation coefficient (ICC or reliability) were assessed for 3 outcome measures: distribution volume (V(T)), binding potential (BP), and specific to nonspecific equilibrium partition coefficient (V(3)'').
All methods gave similar values across all regions. The variability of V(T) was excellent (< or =10%) in all regions, for the 1TC, 2TC, DEPICT, and graphical approaches. The variability of BP and V(3)'' was good in regions of high SERT density and poorer in regions of moderate and lower densities. The ICC of all 3 outcome measures was excellent in all regions. The basis function implementation of SRTM demonstrated improved reliability compared with nonlinear optimization, particularly in moderate and low-binding regions.
The results of this study indicate that (11)C-DASB can be used to measure SERT parameters with high reliability and low variability in receptor-rich regions of the brain, with somewhat less reliability and increased variability in regions of moderate SERT density and poor reproducibility in low-density regions.
本研究的目的是确定使用 (^{11}C)-3-氨基-4-(2-[(二甲氨基)甲基]苯硫基)苯甲腈（(^{11}C)-DASB）得出准确可靠的5-羟色胺转运体（SERT）受体参数的最佳分析方法。
9名健康受试者（5名女性，4名男性）在同一天接受了两次 (^{11}C)-DASB正电子发射断层扫描（PET）。使用五种分析方法估计10个脑区的结合参数：用单组织和双组织房室模型（1TC和2TC）进行房室建模、基于房室理论的数据驱动参数图像估计（DEPICT）分析、图形分析以及简化参考组织模型（SRTM）。评估了SRTM方法拟合过程中的两种变化：非线性优化和基函数方法。针对三个结果指标评估了重测变异性（VAR）和组内相关系数（ICC或可靠性）：分布容积（(V_T)）、结合潜能（BP）以及特异性与非特异性平衡分配系数（(V_3'')）。
所有方法在所有区域得出的值相似。对于1TC、2TC、DEPICT和图形分析方法，所有区域的 (V_T) 变异性都极佳（≤10%）。在SERT高密度区域，BP和 (V_3'') 的变异性良好，而在中低密度区域则较差。所有三个结果指标的ICC在所有区域都极佳。与非线性优化相比，SRTM的基函数实现显示出更高的可靠性，特别是在中度和低结合区域。
本研究结果表明，(^{11}C)-DASB可用于在脑内富含受体的区域以高可靠性和低变异性测量SERT参数，在SERT密度中等的区域可靠性稍低且变异性增加，在低密度区域重现性较差。
