University of Bordeaux, CNRS, INCIA, UMR 5287, Talence 33400, France.
EJNMMI Res. 2013 Nov 25;3(1):78. doi: 10.1186/2191-219X-3-78.
[11C]Befloxatone measures the density of the enzyme monoamine oxidase A (MAO-A) in the brain. MAO-A is responsible for the degradation of different neurotransmitters and is implicated in several neurologic and psychiatric illnesses. This study sought to estimate the distribution volume (VT) values of [11C]befloxatone in humans using an arterial input function.
Seven healthy volunteers were imaged with positron emission tomography (PET) after [11C]befloxatone injection. Kinetic analysis was performed using an arterial input function in association with compartmental modeling and with the Logan plot, multilinear analysis (MA1), and standard spectral analysis (SA) at both the regional and voxel level. Arterialized venous samples were drawn as an alternative and less invasive input function.
An unconstrained two-compartment model reliably quantified VT values in large brain regions. A constrained model did not significantly improve VT identifiability. Similar VT results were obtained using SA; however, the Logan plot and MA1 slightly underestimated VT values (about -10%). At the voxel level, SA showed a very small bias (+2%) compared to compartmental modeling, Logan severely underestimated VT values, and voxel-wise images obtained with MA1 were too noisy to be reliably quantified. Arterialized venous blood samples did not provide a satisfactory alternative input function as the Logan-VT regional values were not comparable to those obtained with arterial sampling in all subjects.
Binding of [11C]befloxatone to MAO-A can be quantified using an arterial input function and a two-compartment model or, in parametric images, with SA.
[11C]Befloxatone 测量大脑中单胺氧化酶 A(MAO-A)的酶密度。MAO-A 负责不同神经递质的降解,并与几种神经和精神疾病有关。本研究旨在使用动脉输入函数来估计[11C]befloxatone 在人体中的分布容积(VT)值。
7 名健康志愿者在注射[11C]befloxatone 后进行正电子发射断层扫描(PET)成像。使用动脉输入函数与房室模型以及 Logan 图、多线性分析(MA1)和标准谱分析(SA)进行动力学分析,分别在区域和体素水平上进行。提取动脉化静脉样本作为替代且侵入性较小的输入函数。
无约束的两房室模型可靠地量化了大脑大区域的 VT 值。约束模型并没有显著提高 VT 的可识别性。SA 也获得了相似的 VT 结果;然而,Logan 图和 MA1 略微低估了 VT 值(约-10%)。在体素水平上,SA 与房室模型相比仅显示出非常小的偏差(+2%),Logan 严重低估了 VT 值,并且 MA1 获得的体素图像噪声太大,无法可靠地定量。动脉化静脉血样本不能提供令人满意的替代输入函数,因为 Logan-VT 区域值在所有受试者中都与动脉取样获得的值不匹配。
可以使用动脉输入函数和两房室模型或参数图像中的 SA 来量化[11C]befloxatone 与 MAO-A 的结合。