Evaluation of two population-based input functions for quantitative neurological FDG PET studies

Evaluation of two population-based input functions for quantitative neurological FDG PET studies
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DOI:
10.1007/bf01728767
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发表时间:
1997-03-01
期刊:
EUROPEAN JOURNAL OF NUCLEAR MEDICINE
影响因子:
--
通讯作者:
Fulham, MJ
Fulham, MJ
中科院分区:
其他
文献类型:
--
作者:
Eberl, S;Anayat, AR;Fulham, MJ

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常规的氟脱氧葡萄糖(FDG)和正电子发射断层扫描(PET)测量脑局部葡萄糖代谢率(RCMRGlc)需要动脉或动脉化静脉(a-v)血,以获得血浆输入功能(IF)。我们评估了用两个a-v血样校准的基于人群的迭代函数系统测量rCMRGlc的准确性。基于人群的IF来源于:(1)26名患者的a-v IF的平均值(标准IF)和(2)已发表的FDG血药浓度模型(FANIF)。20名非糖尿病患者和6名糖尿病患者的rCMRGlc的值与从频繁的动静脉采血得到的值进行了比较。用不同IF计算的rCMRGlc在两组患者中高度相关(r大于或等于0.992),回归直线的均方根残差小于0.24 mg/min/100g,FANI倾向于低估较高的rCMRGlc。这两种基于总体的迭代函数系统都简化了rCMRGlc的测量,精确度损失最小,并且只需要两个a-v血样进行校准。减少的血液采样要求显著减少了对血液采样器的辐射暴露。
The conventional measurement of the regional cerebral metabolic rate of glucose (rCMRGlc) with fluorodeoxyglucose (FDG) and positron emission tomography (PET) requires arterial or arterialised-venous (a-v) blood sampling at frequent intervals to obtain the plasma input function (IF). We evaluated the accuracy of rCMRGlc measurements using population-based IFs that were calibrated with two a-v blood samples. Population based Ifs were derived from: (1) the average of a-v Ifs from 26 patients (Standard IF) and (2) a published model of FDG plasma concentration (Feng IF). Values for rCMRGlc calculated from the population-based Ifs were compared with values obtained with Ifs derived from frequent a-v blood sampling in 20 non-diabetic and six diabetic patients. Values for rCMRGlc calculated with the different Ifs were highly correlated for both patient groups (r greater than or equal to 0.992) and root mean square residuals about the regression line were less than 0.24 mg/min/100 g, The Feng IF tended to underestimate high rCMRGlc. Both population-based Ifs simplify the measurement of rCMRGlc with minimal loss in accuracy and require only two a-v blood samples for calibration. The reduced blood sampling requirements markedly reduce radiation exposure to the blood sampler.