ALTERNATIVE STATISTICAL-MODELS FOR THE EXAMINATION OF CLINICAL POSITRON EMISSION TOMOGRAPHY FLUORODEOXYGLUCOSE DATA
ALTERNATIVE STATISTICAL-MODELS FOR THE EXAMINATION OF CLINICAL POSITRON EMISSION TOMOGRAPHY FLUORODEOXYGLUCOSE DATA
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DOI：
10.1038/jcbfm.1985.18
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发表时间：
1985-01-01
影响因子：
6.3
通讯作者：
COHEN, R
中科院分区：
文献类型：
--
作者：
CLARK, C;CARSON, R;COHEN, R
描述了一种划分正电子发射断层扫描/[18F]氟脱氧葡萄糖研究中发现的代谢变异性的方法。对于所检查的 15 名受试者，总代谢变异性的 74.8% 可归因于总体代谢率的个体差异。总变异性的 15.8% 是受试者之间一致的区域变异或模式。随后，描述了用于识别强模式主体和弱模式主体的Q分量分析方法。描述了通过消除系统个体差异来放大观察到的模式的标准化程序。讨论了这些发现和方法对未来和临床研究的影响。
A method for partitioning metabolic variability found in positron emission tomography/[18F]fluorodeoxyglucose studies is described. For the 15 subjects examined, 74.8% of the total metabolic variability could be ascribed to individual differences in global metabolic rate. 15.8% of the total variability was consistent regional variation or pattern across subjects. Subsequently, the method of Q-component analysis is described for the identification of strong- and weak-pattern subjects. A standardization procedure that amplifies the observed pattern by removing systemic individual differences is described. The implications of these findings and methods for future and clinical studies are discussed.