Literature DB >> 33416959

Kinetic metrics of 18F-FDG in normal human organs identified by systematic dynamic total-body positron emission tomography.

Guobing Liu1,2,3, Hongrong Xu4, Pengcheng Hu1,2,3, Hui Tan1,2,3, Yiqiu Zhang1,2,3, Haojun Yu1,2,3, Xuening Li5, Hongcheng Shi6,7,8.   

Abstract

PURPOSE: To investigate the kinetic metrics of 2-[18F]-fluoro-2-deoxy-D-glucose (18F-FDG) in normal organs by using dynamic total-body (TB) positron emission tomography (PET).
METHODS: Dynamic TB-PET was performed for nine healthy volunteers. Time-to-activity curves (TACs) were obtained by drawing regions of interest in the organs. A two-tissue compartment model was fitted for each tissue TAC. Constant rates, including k1, k2, and k3, and the metabolic rate of FDG (MRFDG) were obtained. The parameter statistics, including the average, standard deviation, coefficient of variance, and inter-site and inter-individual variances, were compared.
RESULTS: Constant rates and MRFDG varied significantly among organs and subjects, but not among sides or sub-regions within an organ. The mean k1 and k2 ranged from 0.0158 min-1 in the right lower lung to 1.1883 min-1 in the anterior wall of the left ventricle (LV) myocardium and from 0.1116 min-1 in the left parietal white matter to 4.6272 min-1 in the left thyroid, respectively. The k3 was lowest in the right upper area of the liver and highest in the septal wall of the LV myocardium. Mean MRFDG ranged from 23.1696 μmol/100 g/min in the parietal cortex to 0.5945 μmol/100 g/min in the lung. Four groups of organs with similar kinetic characteristics were identified: (1) the cerebral white matter, lung, liver, muscle, bone, and bone marrow; (2) cerebral and cerebellar cortex; (3) LV myocardium and thyroid; and (4) pancreas, spleen, and kidney.
CONCLUSION: The kinetic rates and MRFDG significantly differed among organs. The kinetic metrics of FDG parameters in normal organs can serve as a reference for future dynamic PET imaging and research.

Entities:  

Keywords:  2-[18F]-Fluoro-2-deoxy-D-glucose (18F-FDG); Dynamic imaging; Kinetic parameter; Metabolic rate; Positron emission tomography (PET)

Year:  2021        PMID: 33416959     DOI: 10.1007/s00259-020-05124-y

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  5 in total

1.  Quantification of [(18)F]FDG uptake in the normal liver using dynamic PET: impact and modeling of the dual hepatic blood supply.

Authors:  G Brix; S I Ziegler; M E Bellemann; J Doll; R Schosser; R Lucht; H Krieter; D Nosske; U Haberkorn
Journal:  J Nucl Med       Date:  2001-08       Impact factor: 10.057

2.  Comparison of image-derived and arterial input functions for estimating the rate of glucose metabolism in therapy-monitoring 18F-FDG PET studies.

Authors:  Lioe-Fee de Geus-Oei; Eric P Visser; Paul F M Krabbe; Bas A van Hoorn; Emile B Koenders; Antoon T Willemsen; Jan Pruim; Frans H M Corstens; Wim J G Oyen
Journal:  J Nucl Med       Date:  2006-06       Impact factor: 10.057

3.  A mathematical model for the distribution of fluorodeoxyglucose in humans.

Authors:  M T Hays; G M Segall
Journal:  J Nucl Med       Date:  1999-08       Impact factor: 10.057

4.  Regions of interest in the venous sinuses as input functions for quantitative PET.

Authors:  L M Wahl; M C Asselin; C Nahmias
Journal:  J Nucl Med       Date:  1999-10       Impact factor: 10.057

5.  Evaluation of the effect of glucose ingestion and kinetic model configurations of FDG in the normal liver.

Authors:  Y Choi; R A Hawkins; S C Huang; R C Brunken; C K Hoh; C Messa; E U Nitzsche; M E Phelps; H R Schelbert
Journal:  J Nucl Med       Date:  1994-05       Impact factor: 10.057

  5 in total
  6 in total

1.  Expert consensus on oncological [18F]FDG total-body PET/CT imaging (version 1).

Authors:  Haojun Yu; Yushen Gu; Wei Fan; Yongju Gao; Meiyun Wang; Xiaohua Zhu; Zhifang Wu; Jianjun Liu; Biao Li; Hubing Wu; Zhaoping Cheng; Shuxia Wang; Yiqiu Zhang; Baixuan Xu; Sijin Li; Hongcheng Shi
Journal:  Eur Radiol       Date:  2022-06-25       Impact factor: 5.315

2.  The feasibility of ultralow-activity 18F-FDG dynamic PET imaging in lung adenocarcinoma patients through total-body PET/CT scanner.

Authors:  Jing Lv; Hongyan Yin; Haojun Yu; Guobing Liu; Hongcheng Shi
Journal:  Ann Nucl Med       Date:  2022-07-20       Impact factor: 2.258

3.  First results on kinetic modelling and parametric imaging of dynamic 18F-FDG datasets from a long axial FOV PET scanner in oncological patients.

Authors:  Hasan Sari; Clemens Mingels; Ian Alberts; Jicun Hu; Dorothee Buesser; Vijay Shah; Robin Schepers; Patrik Caluori; Vladimir Panin; Maurizio Conti; Ali Afshar-Oromieh; Kuangyu Shi; Lars Eriksson; Axel Rominger; Paul Cumming
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-01-04       Impact factor: 10.057

4.  Determination of optimal 68 Ga-PSMA PET/CT imaging time in prostate cancers by total-body dynamic PET/CT.

Authors:  Jun Wen; Yinjie Zhu; Lianghua Li; Jianjun Liu; Yumei Chen; Ruohua Chen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-12-28       Impact factor: 10.057

5.  Improved Clinical Workflow for Whole-Body Patlak Parametric Imaging Using Two Short Dynamic Acquisitions.

Authors:  Hui Wang; Ying Miao; Wenjing Yu; Gan Zhu; Tao Wu; Xuefeng Zhao; Guangjie Yuan; Biao Li; Huiqin Xu
Journal:  Front Oncol       Date:  2022-04-28       Impact factor: 5.738

6.  Application of Dynamic 18F-FDG PET/CT for Distinguishing Intrapulmonary Metastases from Synchronous Multiple Primary Lung Cancer.

Authors:  Weize Lv; Min Yang; Hongcheng Zhong; Xiaojin Wang; Shuai Yang; Lei Bi; Jianzhong Xian; Xiaofeng Pei; Xinghua He; Ying Wang; Zhong Lin; Qingdong Cao; Hongjun Jin; Hong Shan
Journal:  Mol Imaging       Date:  2022-06-30       Impact factor: 3.250

  6 in total

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