{"title":"超出正常血糖水平的定量脑[18F]FDG PET。","authors":"","doi":"10.1016/j.neuroimage.2024.120873","DOIUrl":null,"url":null,"abstract":"<div><div><em>Introduction</em> SUV measurements from static brain [<sup>18</sup>F]FDG PET acquisitions are a commonly used tool in preclinical research, providing a simple alternative for kinetic modelling, which requires complex and time-consuming dynamic acquisitions. However, SUV can be severely affected by the animal handling and preconditioning protocols, primarily by those that may induce changes in blood glucose levels (BGL). Here, we aimed at developing and investigating the feasibility of SUV-based approaches for a wide range of BGL far beyond normal values, and consequently, to develop and validate a new model to generate standardized and reproducible SUV measurements for any BGL.</div><div><em>Material and methods</em> We performed dynamic and static brain [<sup>18</sup>F]FDG PET acquisitions in 52 male Sprague-Dawley rats sorted into control (<em>n</em> = 10), non-fasting (<em>n</em> = 14), insulin-induced hypoglycemia (<em>n</em> = 12) and glucagon-induced hyperglycemia (<em>n</em> = 16) groups. Brain [<sup>18</sup>F]FDG PET images were cropped, aligned and co-registered to a standard template to calculate whole-brain and regional SUV. Cerebral Metabolic Rate of Glucose (CMRglc) was also estimated from 2-Tissue Compartment Model (2TCM) and Patlak plot for validation purposes.</div><div><em>Results</em> Our results showed that BGL=100±6 mg/dL can be considered a reproducible reference value for normoglycemia. Furthermore, we successfully established a 2nd-degree polynomial model (C<sub>1</sub>=0.66E-4, C<sub>2</sub>=-0.0408 and C<sub>3</sub>=7.298) relying exclusively on BGL measures at pre-[<sup>18</sup>F]FDG injection time, that characterizes more precisely the relationship between SUV and BGL for a wide range of BGL values (from 10 to 338 mg/dL). We confirmed the ability of this model to generate corrected SUV estimations that are highly correlated to CMRglc estimations (R<sup>2</sup>= 0.54 2TCM CMRgluc and R<sup>2</sup>= 0.49 Patlak CMRgluc). Besides, slight regional differences in SUV were found in animals from extreme BGL groups, showing that [<sup>18</sup>F]FDG uptake is mostly directed toward central regions of the brain when BGLs are significantly decreased.</div><div><em>Conclusion</em> Our study successfully established a non-linear model that relies exclusively on pre-scan BGL measurements to characterize the relationship between [<sup>18</sup>F]FDG SUV and BGL. The extensive validation confirmed its ability to generate SUV-based surrogates of CMRglu along a wide range of BGL and it holds the potential to be adopted as a standard protocol by the preclinical neuroimaging community using brain [<sup>18</sup>F]FDG PET imaging.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative brain [18F]FDG PET beyond normal blood glucose levels\",\"authors\":\"\",\"doi\":\"10.1016/j.neuroimage.2024.120873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><em>Introduction</em> SUV measurements from static brain [<sup>18</sup>F]FDG PET acquisitions are a commonly used tool in preclinical research, providing a simple alternative for kinetic modelling, which requires complex and time-consuming dynamic acquisitions. However, SUV can be severely affected by the animal handling and preconditioning protocols, primarily by those that may induce changes in blood glucose levels (BGL). Here, we aimed at developing and investigating the feasibility of SUV-based approaches for a wide range of BGL far beyond normal values, and consequently, to develop and validate a new model to generate standardized and reproducible SUV measurements for any BGL.</div><div><em>Material and methods</em> We performed dynamic and static brain [<sup>18</sup>F]FDG PET acquisitions in 52 male Sprague-Dawley rats sorted into control (<em>n</em> = 10), non-fasting (<em>n</em> = 14), insulin-induced hypoglycemia (<em>n</em> = 12) and glucagon-induced hyperglycemia (<em>n</em> = 16) groups. Brain [<sup>18</sup>F]FDG PET images were cropped, aligned and co-registered to a standard template to calculate whole-brain and regional SUV. Cerebral Metabolic Rate of Glucose (CMRglc) was also estimated from 2-Tissue Compartment Model (2TCM) and Patlak plot for validation purposes.</div><div><em>Results</em> Our results showed that BGL=100±6 mg/dL can be considered a reproducible reference value for normoglycemia. Furthermore, we successfully established a 2nd-degree polynomial model (C<sub>1</sub>=0.66E-4, C<sub>2</sub>=-0.0408 and C<sub>3</sub>=7.298) relying exclusively on BGL measures at pre-[<sup>18</sup>F]FDG injection time, that characterizes more precisely the relationship between SUV and BGL for a wide range of BGL values (from 10 to 338 mg/dL). We confirmed the ability of this model to generate corrected SUV estimations that are highly correlated to CMRglc estimations (R<sup>2</sup>= 0.54 2TCM CMRgluc and R<sup>2</sup>= 0.49 Patlak CMRgluc). Besides, slight regional differences in SUV were found in animals from extreme BGL groups, showing that [<sup>18</sup>F]FDG uptake is mostly directed toward central regions of the brain when BGLs are significantly decreased.</div><div><em>Conclusion</em> Our study successfully established a non-linear model that relies exclusively on pre-scan BGL measurements to characterize the relationship between [<sup>18</sup>F]FDG SUV and BGL. The extensive validation confirmed its ability to generate SUV-based surrogates of CMRglu along a wide range of BGL and it holds the potential to be adopted as a standard protocol by the preclinical neuroimaging community using brain [<sup>18</sup>F]FDG PET imaging.</div></div>\",\"PeriodicalId\":19299,\"journal\":{\"name\":\"NeuroImage\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NeuroImage\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1053811924003707\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROIMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NeuroImage","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1053811924003707","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROIMAGING","Score":null,"Total":0}
引用次数: 0
摘要
引言 通过静态脑[18F]FDG PET 采集测量 SUV 是临床前研究中常用的工具,它为需要复杂耗时的动态采集的动力学建模提供了一个简单的替代方案。然而,SUV 可能会受到动物处理和预处理方案的严重影响,主要是那些可能引起血糖水平(BGL)变化的方案。在此,我们旨在开发和研究基于 SUV 的方法对远远超出正常值的各种 BGL 的可行性,从而开发和验证一种新的模型,为任何 BGL 生成标准化和可重复的 SUV 测量值。材料和方法 我们对 52 只雄性 Sprague-Dawley 大鼠进行了动态和静态脑[18F]FDG PET 采集,分为对照组(10 只)、非空腹组(14 只)、胰岛素诱导的低血糖组(12 只)和胰高血糖素诱导的高血糖组(16 只)。对大脑[18F]FDG PET图像进行裁剪、对齐并与标准模板联合注册,以计算全脑和区域SUV。为了验证,还根据 2 组织间隙模型(2TCM)和 Patlak 图估算了脑葡萄糖代谢率(CMRglc)。结果 我们的研究结果表明,BGL=100±6 mg/dL 可被视为正常血糖的可重复参考值。此外,我们还成功地建立了一个二级多项式模型(C1=0.66E-4,C2=-0.0408,C3=7.298),该模型完全依赖于[18F]FDG 注射前的 BGL 测量值,能更精确地描述各种 BGL 值(从 10 到 338 mg/dL)下 SUV 与 BGL 之间的关系。我们证实该模型能够生成与 CMRglc 估计值高度相关的校正 SUV 估计值(R2= 0.54 2TCM CMRgluc 和 R2= 0.49 Patlak CMRgluc)。此外,在极端 BGL 组的动物中发现 SUV 有轻微的区域差异,这表明当 BGL 显著降低时,[18F]FDG 的摄取主要流向大脑中心区域。结论 我们的研究成功建立了一个非线性模型,该模型完全依赖于扫描前的 BGL 测量值来描述 [18F]FDG SUV 与 BGL 之间的关系。广泛的验证证实了该模型有能力在广泛的 BGL 范围内生成基于 SUV 的 CMRglu 代用指标,并有可能被使用脑 [18F]FDG PET 成像的临床前神经成像界采纳为标准方案。
Quantitative brain [18F]FDG PET beyond normal blood glucose levels
Introduction SUV measurements from static brain [18F]FDG PET acquisitions are a commonly used tool in preclinical research, providing a simple alternative for kinetic modelling, which requires complex and time-consuming dynamic acquisitions. However, SUV can be severely affected by the animal handling and preconditioning protocols, primarily by those that may induce changes in blood glucose levels (BGL). Here, we aimed at developing and investigating the feasibility of SUV-based approaches for a wide range of BGL far beyond normal values, and consequently, to develop and validate a new model to generate standardized and reproducible SUV measurements for any BGL.
Material and methods We performed dynamic and static brain [18F]FDG PET acquisitions in 52 male Sprague-Dawley rats sorted into control (n = 10), non-fasting (n = 14), insulin-induced hypoglycemia (n = 12) and glucagon-induced hyperglycemia (n = 16) groups. Brain [18F]FDG PET images were cropped, aligned and co-registered to a standard template to calculate whole-brain and regional SUV. Cerebral Metabolic Rate of Glucose (CMRglc) was also estimated from 2-Tissue Compartment Model (2TCM) and Patlak plot for validation purposes.
Results Our results showed that BGL=100±6 mg/dL can be considered a reproducible reference value for normoglycemia. Furthermore, we successfully established a 2nd-degree polynomial model (C1=0.66E-4, C2=-0.0408 and C3=7.298) relying exclusively on BGL measures at pre-[18F]FDG injection time, that characterizes more precisely the relationship between SUV and BGL for a wide range of BGL values (from 10 to 338 mg/dL). We confirmed the ability of this model to generate corrected SUV estimations that are highly correlated to CMRglc estimations (R2= 0.54 2TCM CMRgluc and R2= 0.49 Patlak CMRgluc). Besides, slight regional differences in SUV were found in animals from extreme BGL groups, showing that [18F]FDG uptake is mostly directed toward central regions of the brain when BGLs are significantly decreased.
Conclusion Our study successfully established a non-linear model that relies exclusively on pre-scan BGL measurements to characterize the relationship between [18F]FDG SUV and BGL. The extensive validation confirmed its ability to generate SUV-based surrogates of CMRglu along a wide range of BGL and it holds the potential to be adopted as a standard protocol by the preclinical neuroimaging community using brain [18F]FDG PET imaging.
期刊介绍:
NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.