Whiskers Area as Extracerebral Reference Tissue for Quantification of Rat Brain Metabolism Using 18F-FDG PET: Application to Focal Cerebral Ischemia

被引:33
|
作者
Backes, Heiko [1 ]
Walberer, Maureen [2 ]
Endepols, Heike [1 ]
Neumaier, Bernd [1 ]
Graf, Rudolf [1 ]
Wienhard, Klaus [1 ]
Mies, Guenter [1 ]
机构
[1] Max Planck Inst Neurol Res, D-50931 Cologne, Germany
[2] Univ Hosp Cologne, Dept Neurol, Cologne, Germany
关键词
positron emission tomography; cerebral glucose metabolism; reference tissue; lumped constant; rat; LUMPED CONSTANT; ARTERY OCCLUSION; GLUCOSE-UTILIZATION; FLUORODEOXYGLUCOSE; PHOSPHORYLATION; VALIDATION; IMAGES; MODEL; FDG;
D O I
10.2967/jnumed.110.085266
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Diseases and dysfunction of the central nervous system are often associated with regional changes in cerebral glucose metabolism, which can be measured in vivo by PET using F-18-FDG as the tracer. For quantification, the arterial tracer input function must be determined. For rodents in particular, direct measurement of blood radioactivity concentration is scarcely feasible for follow-up of individual animals because of the invasiveness of blood sampling. We show that the whiskers area of the rat's muzzle serves as an extracerebral reference region. The derived model also takes into account local variations of the lumped constant, which is crucial in pathologic tissue. Methods: In 11 rats, the reference tissue kinetic parameters were determined from PET data and measured whole blood radioactivity concentration. Parametric images of cerebral kinetic rate constants were calculated using the directly measured input function, the reference tissue time-activity curve with individually fitted reference kinetic parameters, and the reference time-activity curve with fixed reference kinetic parameters calculated from the fitted parameters averaged over all animals. The need for kinetic modeling in disease models is demonstrated in 5 rats subjected to acute focal cerebral ischemia. F-18-FDG metabolism and transport rate constants and local cerebral glucose metabolic rates were calculated. Results: Cerebral kinetic constants derived from the 3 methods corresponded closely. The maximum difference in whole-brain kinetic parameters observed between the directly measured input function and the reference tissue time-activity curve with individually fitted reference kinetic parameters was less than 5%. Taking fixed reference parameters (the reference time-activity curve with fixed reference kinetic parameters calculated from the fitted parameters averaged over all animals) still provided whole-brain kinetic parameters with an accuracy of approximately 90%. In the rats subjected to focal cerebral ischemia, F-18-FDG kinetic parameters in healthy tissue were not significantly different from whole-brain kinetic parameters in naive rats. The ischemic region was characterized by preserved glucose metabolism, although F-18-FDG uptake was elevated significantly-that is, the lumped constant in the ischemic region was different from that of healthy brain tissue. Conclusion: The method presented here allows for the quantitative noninvasive determination of cerebral glucose consumption in rats, takes into account local variations of the lumped constant, and is suitable for follow-up measurements of individuals.
引用
收藏
页码:1252 / 1260
页数:9
相关论文
共 50 条
  • [31] Brain energy metabolism and neuroinflammation in ageing APP/PS1-21 mice using longitudinal 18F-FDG and 18F-DPA-714 PET imaging
    Takkinen, Jatta S.
    Lopez-Picon, Francisco R.
    Al Majidi, Rana
    Eskola, Olli
    Krzyczmonik, Anna
    Keller, Thomas
    Loyttyniemi, Eliisa
    Solin, Olof
    Rinne, Juha O.
    Haaparanta-Solin, Merja
    JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2017, 37 (08) : 2870 - 2882
  • [32] Impaired brain glucose metabolism in cirrhosis without overt hepatic encephalopathy: a retrospective 18F-FDG PET/CT study
    Zhang, Weishan
    Ning, Ning
    Li, Xianjun
    Li, Miao
    Duan, Xiaoyi
    Guo, Youmin
    Dang, Yaping
    Li, Yan
    Gao, Jungang
    Ye, Jiajun
    Yan, Jian
    NEUROREPORT, 2019, 30 (11) : 776 - 782
  • [33] The effects of exposure to 915 MHz radiofrequency identification on cerebral glucose metabolism in rat: A [F-18] FDG micro-PET study
    Kim, Hye Sun
    An, Young-Sil
    Paik, Man-Jeong
    Lee, Yun-Sil
    Choi, Hyung Do
    Kim, Byung Chan
    Pack, Jeong-Ki
    Kim, Nam
    Ahn, Young Hwan
    INTERNATIONAL JOURNAL OF RADIATION BIOLOGY, 2013, 89 (09) : 750 - 755
  • [34] Increased brain metabolism after acute administration of the synthetic cannabinoid HU210: A small animal PET imaging study with 18F-FDG
    Nguyen, Vu H.
    Verdurand, Mathieu
    Dedeurwaerdere, Stefanie
    Wang, Hongqin
    Zahra, David
    Gregoire, Marie-Claude
    Zavitsanou, Katerina
    BRAIN RESEARCH BULLETIN, 2012, 87 (2-3) : 172 - 179
  • [35] Cerebral 18F-FDG metabolism alteration in a neuropathic pain model following brachial plexus avulsion: A PET/CT study in rats
    Shen, Jun
    Huo, Bei-Bei
    Hua, Xu-Yun
    Zheng, Mou-Xiong
    Lu, Ye-Chen
    Wu, Jia-Jia
    Shan, Chun-Lei
    Xu, Jian-Guang
    BRAIN RESEARCH, 2019, 1712 : 132 - 138
  • [36] Quantification, Variability, and Reproducibility of Basal Skeletal Muscle Glucose Uptake in Healthy Humans Using 18F-FDG PET/CT
    Gheysens, Olivier
    Postnov, Andrey
    Deroose, Christophe M.
    Vandermeulen, Corinne
    de Hoon, Jan
    Declercq, Ruben
    Dennie, Justin
    Mixson, Lori
    De Lepeleire, Inge
    Van Laere, Koen
    Klimas, Michael
    Chakravarthy, Manu V.
    JOURNAL OF NUCLEAR MEDICINE, 2015, 56 (10) : 1520 - 1526
  • [37] Comparison of visual and ROI-based brain tumour grading using 18F-FDG PET:: ROC analyses
    Meyer, PT
    Schreckenberger, M
    Spetzger, U
    Meyer, GF
    Sabri, O
    Setani, KS
    Zeggel, T
    Buell, U
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE, 2001, 28 (02) : 165 - 174
  • [38] Optimization of the Reference Region Method for Dual Pharmacokinetic Modeling Using Gd-DTPA/MRI and 18F-FDG/PET
    Poulin, Eric
    Lebel, Rejean
    Croteau, Etienne
    Blanchette, Marie
    Tremblay, Luc
    Lecomte, Roger
    Bentourkia, M'hamed
    Lepage, Martin
    MAGNETIC RESONANCE IN MEDICINE, 2015, 73 (02) : 740 - 748
  • [39] Quantification of F-18FDG PET images in temporal lobe epilepsy patients using probabilistic brain atlas
    Kang, KW
    Lee, DS
    Cho, JH
    Lee, JS
    Yeo, JS
    Lee, SK
    Chung, JK
    Lee, MC
    NEUROIMAGE, 2001, 14 (01) : 1 - 6
  • [40] Test-retest repeatability and interobserver variation of healthy tissue metabolism using 18F-FDG PET/CT of the thorax among lung cancer patients
    Malaih, Afnan A.
    Dunn, Joel T.
    Nygard, Lotte
    Kovacs, David G.
    Andersen, Flemming L.
    Barrington, Sally F.
    Fischer, Barbara M.
    NUCLEAR MEDICINE COMMUNICATIONS, 2022, 43 (05) : 549 - 559