Onishi Y, Yonekura Y, Nishizawa S, Tanaka F, Okazawa H, Ishizu K, Fujita T, Konishi J, Mukai T
Nihon Medi-Physics Co., Ltd., Nishinomiya, Japan.
J Nucl Med. 1996 Feb;37(2):374-8.
The feasibility of a noninvasive method for quantification of [123I]iomazenil binding using a standardized arterial input function and a single venous blood sample was assessed in normal volunteers.
Serial SPECT images and blood data from six healthy male volunteers after intravenous injection of [123I]iomazenil were used. The standardized input function was derived by averaging the six subjects' arterial curves. Individual input functions were estimated by calibrating the standardized input function with one-point venous blood radioactivity concentration. Ligand transport (K1) and receptor binding were computed from the estimated input functions and two separate SPECT scans using a table look-up procedure based on a three-compartment, two-parameter model. Reference values for K1 and receptor binding were determined from the serial SPECT data and individual arterial curves using a three-compartment, three-parameter model and curve fitting.
Analyses of the error caused by the calibration in relation to the time postinjection revealed that the optimal calibration time was 30 min postinjection. Receptor binding obtained by this simplified method correlated well with the reference values (r = 0.941) and was estimated within an error of 10% in the cerebral cortical regions. Although the estimated K1 showed relatively poor correlation (r = 0.699) with the reference value, it was an excellent relative measure in each subject.
Our method provided an absolute measure of the benzodiazepine receptor binding and a relative measure of ligand transport from two SPECT scans and a venous blood sample. This method would be useful for quantitative assessment of benzodiazepine receptors in clinical settings.
在正常志愿者中评估了一种使用标准化动脉输入函数和单个静脉血样对[123I]艾司西酞普兰结合进行无创定量的方法的可行性。
使用了六名健康男性志愿者静脉注射[123I]艾司西酞普兰后的系列SPECT图像和血液数据。标准化输入函数通过平均六名受试者的动脉曲线得出。通过用单点静脉血放射性浓度校准标准化输入函数来估计个体输入函数。使用基于三室、双参数模型的查表程序,从估计的输入函数和两次单独的SPECT扫描计算配体转运(K1)和受体结合。使用三室、三参数模型和曲线拟合,从系列SPECT数据和个体动脉曲线确定K1和受体结合的参考值。
对注射后时间相关校准引起的误差分析表明,最佳校准时间为注射后30分钟。通过这种简化方法获得的受体结合与参考值相关性良好(r = 0.941),在大脑皮质区域估计误差在10%以内。虽然估计的K1与参考值的相关性相对较差(r = 0.699),但在每个受试者中它是一个很好的相对测量值。
我们的方法从两次SPECT扫描和一个静脉血样中提供了苯二氮䓬受体结合的绝对测量值和配体转运的相对测量值。这种方法将有助于在临床环境中对苯二氮䓬受体进行定量评估。