Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function.

Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function.
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DOI:
10.1038/jcbfm.2015.104
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发表时间:
2015-10
期刊:
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
影响因子:
--
通讯作者:
Hanakawa T
Hanakawa T
中科院分区:
其他
文献类型:
--
作者:
Hori Y;Ihara N;Teramoto N;Kunimi M;Honda M;Kato K;Hanakawa T

文献摘要

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定量正电子发射断层扫描(PET)研究中动脉输入功能(AIF)的测量在技术上具有挑战性。本研究的目的是开发一种基于标准动脉输入函数(SIF)的方法来估计输入函数,而无需采血。我们进行了18F-氟脱氧葡萄糖的研究,伴随着连续采血测量AIF在11只大鼠。标准动脉输入功能计算平均AIF从八个麻醉大鼠,体重(BM)和注射剂量(ID)标准化后。然后,使用两种类型的SIF估计个体输入函数:(1)由个体的BM和ID校准的SIF(估计的个体输入函数,EIFNS)和(2)由先前提出的单次血液采样校准的SIF(EIF 1 S)。使用重复测量方差分析,在基于AIF、EIFNS和EIF 1 S的方法中,未发现葡萄糖曲线下面积(AUC)或脑代谢率(CMRGlc)的显著差异。在相关性分析中,来自EIFNS的AUC或CMRGlc与来自AIF和EIF 1 S的AUC或CMRGlc高度相关。AIF和EIFNS在三只清醒大鼠中的初步比较支持了该方法可能适用于行为动物的想法。本研究表明,EIFNS方法可能作为一种非侵入性的替代个体AIF测量。
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 18F-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, EIFNS) and (2) SIF calibrated by a single blood sampling as proposed previously (EIF1S). No significant differences in area under the curve (AUC) or cerebral metabolic rate for glucose (CMRGlc) were found across the AIF-, EIFNS-, and EIF1S-based methods using repeated measures analysis of variance. In the correlation analysis, AUC or CMRGlc derived from EIFNS was highly correlated with those derived from AIF and EIF1S. Preliminary comparison between AIF and EIFNS in three awake rats supported an idea that the method might be applicable to behaving animals. The present study suggests that EIFNS method might serve as a noninvasive substitute for individual AIF measurement.