Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients

被引:29
|
作者
Dias, Andre H. [1 ,2 ]
Hansen, Allan K. [1 ,2 ]
Munk, Ole L. [1 ,2 ,3 ]
Gormsen, Lars C. [1 ,2 ,3 ]
机构
[1] Aarhus Univ Hosp, Dept Nucl Med, Palle Juul Jensens Blvd 165, DK-8200 Aarhus, Denmark
[2] Aarhus Univ Hosp, PET Ctr, Palle Juul Jensens Blvd 165, DK-8200 Aarhus, Denmark
[3] Aarhus Univ, Dept Clin Med, Aarhus, Denmark
关键词
Dynamic whole-body PET; Multiparametric imaging; Normal values; Patlak; BRAIN TRANSFER CONSTANTS; MUSCLE GLUCOSE-UPTAKE; GRAPHICAL EVALUATION; STANDARD UPTAKE; TIME; QUANTIFICATION; RECONSTRUCTION; VARIABILITY; RESOLUTION; ACCURACY;
D O I
10.1186/s13550-022-00884-0
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
Background Dynamic whole-body (D-WB) FDG PET/CT is a recently developed technique that allows direct reconstruction of multiparametric images of metabolic rate of FDG uptake (MRFDG) and "free" FDG (DVFDG). Multiparametric images have a markedly different appearance than the conventional SUV images obtained by static PET imaging, and normal values of MRFDG and DVFDG in frequently used reference tissues and organs are lacking. The aim of this study was therefore to: (1) provide an overview of normal MRFDG and DVFDG values and range of variation in organs and tissues; (2) analyse organ time-activity curves (TACs); (3) validate the accuracy of directly reconstructed MRFDG tissue values versus manually calculated K-i (and MRFDG) values; and (4) explore correlations between demographics, blood glucose levels and MRFDG values. D-WB data from 126 prospectively recruited patients (100 without diabetes and 26 with diabetes) were retrospectively analysed. Participants were scanned using a 70-min multiparametric PET acquisition protocol on a Siemens Biograph Vision 600 PET/CT scanner. 13 regions (bone, brain grey and white matter, colon, heart, kidney, liver, lung, skeletal muscle of the back and thigh, pancreas, spleen, and stomach) as well as representative pathological findings were manually delineated, and values of static PET (SUV), D-WB PET (K-i, MRFDG and DVFDG) and individual TACs were extracted. Multiparametric values were compared with manual TAC-based calculations of K-i and MRFDG, and correlations with blood glucose, age, weight, BMI, and injected tracer dose were explored. Results Tissue and organ MRFDG values showed little variation, comparable to corresponding SUV variation. All regional TACs were in line with previously published FDG kinetics, and the multiparametric metrics correlated well with manual TAC-based calculations (r(2) = 0.97, p < 0.0001). No correlations were observed between glucose levels and MRFDG in tissues known not to be substrate driven, while tissues with substrate driven glucose uptake had significantly correlated glucose levels and MRFDG values. Conclusion The multiparametric D-WB PET scan protocol provides normal MRFDG values with little inter-subject variation and in agreement with manual TAC-based calculations and literature values. The technique therefore facilitates both accurate clinical reports and simpler acquisition of quantitative estimates of whole-body tissue glucose metabolism.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] 18F-FDG WHOLE BODY PET/CT AS A DIAGNOSTIC TEST FOR POLYMYALGIA RHEUMATICA IN PATIENTS WITH NORMAL INFLAMMATORY MARKERS
    Owen, C. E.
    Martin, E.
    Poon, A. M.
    Leung, J. L.
    Liew, D. F.
    Lee, S. T.
    Scott, A. M.
    Buchanan, R. R.
    ANNALS OF THE RHEUMATIC DISEASES, 2018, 77 : 1480 - 1480
  • [42] Evaluation of 18F-FDG PET/MRI, 18F-FDG PET/CT, MRI, and CT in whole-body staging of recurrent breast cancer
    Sawicki, Lino M.
    Grueneisen, Johannes
    Schaarschmidt, Benedikt M.
    Buchbender, Christian
    Nagarajah, James
    Umutlu, Lale
    Antoch, Gerald
    Kinner, Sonja
    EUROPEAN JOURNAL OF RADIOLOGY, 2016, 85 (02) : 459 - 465
  • [43] 18F-FDG WHOLE BODY PET/CT AS A DIAGNOSTIC TEST FOR POLYMYALGIA RHEUMATICA IN PATIENTS WITH NORMAL INFLAMMATORY MARKERS
    Owen, C.
    Martin, E.
    Poon, A.
    Leung, J.
    Liew, D.
    Lee, S. T.
    Scott, A.
    Buchanan, R.
    INTERNAL MEDICINE JOURNAL, 2018, 48 : 45 - 45
  • [44] Additionalregional 18F-FDG PET/MR assist whole body 18F-FDG PET/CT for diagnosis peritonealmetastases th unknown primary origin
    Liu, Fang
    JOURNAL OF NUCLEAR MEDICINE, 2019, 60
  • [45] Improved lesion detection in Whole-Body Parametric 18F-FDG PET/CT vs. Static 18F-FDG PET/CT
    Dias, Andre
    Pedersen, Mette
    Danielsen, Helle
    Munk, Ole
    Gormsen, Lars
    JOURNAL OF NUCLEAR MEDICINE, 2020, 61
  • [46] Effects of blood glucose level on 18F fluorodeoxyglucose (18F-FDG) uptake for PET/CT in normal organs: an analysis on 5623 patients
    Clarice Sprinz
    Matheus Zanon
    Stephan Altmayer
    Guilherme Watte
    Klaus Irion
    Edson Marchiori
    Bruno Hochhegger
    Scientific Reports, 8
  • [47] Effects of blood glucose level on 18F-fluorodeoxyglucose (18F-FDG) uptake for PET/CT in normal organs: an analysis on 5623 patients
    Sprinz, Clarice
    Zanon, Matheus
    Altmayer, Stephan
    Watte, Guilherme
    Irion, Klaus
    Marchiori, Edson
    Hochhegger, Bruno
    SCIENTIFIC REPORTS, 2018, 8
  • [48] Pituitary 18F-FDG uptake correlates with serum TSH levels in thyroid cancer patients on 18F-FDG PET/CT
    Ding, Yingli
    Wu, Shuqi
    Xu, Jing
    Wang, Hui
    Ma, Chao
    NUCLEAR MEDICINE COMMUNICATIONS, 2019, 40 (01) : 57 - 62
  • [49] Reflecting on the utility of standardized uptake values on 18F-FDG PET in nasopharyngeal carcinoma
    Qiu, Xiufang
    Wu, Haixia
    Xu, Ting
    Xie, Shihan
    You, Ziqing
    Hu, Yixin
    Zheng, Yinghong
    Liang, Zewei
    Huang, Chaoxiong
    Yi, Li
    Li, Li
    Liu, Jing
    Fei, Zhaodong
    Chen, Chuanben
    BMC CANCER, 2022, 22 (01)
  • [50] Reflecting on the utility of standardized uptake values on 18F-FDG PET in nasopharyngeal carcinoma
    Xiufang Qiu
    Haixia Wu
    Ting Xu
    Shihan Xie
    Ziqing You
    Yixin Hu
    Yinghong Zheng
    Zewei Liang
    Chaoxiong Huang
    Li Yi
    Li Li
    Jing Liu
    Zhaodong Fei
    Chuanben Chen
    BMC Cancer, 22