Hori Yuki, Ihara Naoki, Teramoto Noboru, Kunimi Masako, Honda Manabu, Kato Koichi, Hanakawa Takashi
Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.
Department of Functional Brain Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.
J Cereb Blood Flow Metab. 2015 Oct;35(10):1664-70. doi: 10.1038/jcbfm.2015.104. Epub 2015 May 13.
Measurement of arterial input function (AIF) for quantitative positron emission tomography (PET) studies is technically challenging. The present study aimed to develop a method based on a standard arterial input function (SIF) to estimate input function without blood sampling. We performed (18)F-fluolodeoxyglucose studies accompanied by continuous blood sampling for measurement of AIF in 11 rats. Standard arterial input function was calculated by averaging AIFs from eight anesthetized rats, after normalization with body mass (BM) and injected dose (ID). Then, the individual input function was estimated using two types of SIF: (1) SIF calibrated by the individual's BM and ID (estimated individual input function, EIF(NS)) and (2) SIF calibrated by a single blood sampling as proposed previously (EIF(1S)). No significant differences in area under the curve (AUC) or cerebral metabolic rate for glucose (CMRGlc) were found across the AIF-, EIF(NS)-, and EIF(1S)-based methods using repeated measures analysis of variance. In the correlation analysis, AUC or CMRGlc derived from EIF(NS) was highly correlated with those derived from AIF and EIF(1S). Preliminary comparison between AIF and EIF(NS) in three awake rats supported an idea that the method might be applicable to behaving animals. The present study suggests that EIF(NS) method might serve as a noninvasive substitute for individual AIF measurement.
在定量正电子发射断层扫描(PET)研究中,测量动脉输入函数(AIF)在技术上具有挑战性。本研究旨在开发一种基于标准动脉输入函数(SIF)的方法,以在不进行血样采集的情况下估计输入函数。我们对11只大鼠进行了(18)F-氟脱氧葡萄糖研究,并同时进行连续血样采集以测量AIF。通过对八只麻醉大鼠的AIF进行平均计算标准动脉输入函数,计算时先用体重(BM)和注射剂量(ID)进行归一化。然后,使用两种类型的SIF估计个体输入函数:(1)通过个体的BM和ID校准的SIF(估计个体输入函数,EIF(NS))和(2)如先前提出的通过单次血样采集校准的SIF(EIF(1S))。使用重复测量方差分析,在基于AIF、EIF(NS)和EIF(1S)的方法之间,未发现曲线下面积(AUC)或葡萄糖脑代谢率(CMRGlc)有显著差异。在相关性分析中,源自EIF(NS)的AUC或CMRGlc与源自AIF和EIF(1S)的AUC或CMRGlc高度相关。对三只清醒大鼠的AIF和EIF(NS)进行的初步比较支持了该方法可能适用于行为动物的观点。本研究表明,EIF(NS)方法可能可作为个体AIF测量的非侵入性替代方法。