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Kinetic modeling and graphical analysis of 18F-fluoromethylcholine (FCho), 18F-fluoroethyltyrosine (FET) and 18F-fluorodeoxyglucose (FDG) PET for the discrimination between high-grade glioma and radiation necrosis in rats

Julie Bolcaen, Kelly Lybaert, Lieselotte Moerman, Benedicte Descamps UGent, Karel Deblaere UGent, Tom Boterberg UGent, Jean-Pierre Kalala Okito UGent, Caroline Van den Broecke UGent, Filip De Vos UGent, Christian Vanhove UGent, et al. (2016) PLOS ONE. 11(8).
abstract
Background : Discrimination between glioblastoma (GB) and radiation necrosis (RN) post-irradiation remains challenging but has a large impact on further treatment and prognosis. In this study, the uptake mechanisms of 18F-fluorodeoxyglucose (18F-FDG), 18F-fluoroethyltyrosine (18F-FET) and 18F-fluoromethylcholine (18F-FCho) positron emission tomography (PET) tracers were investigated in a F98 GB and RN rat model applying kinetic modeling (KM) and graphical analysis (GA) to clarify our previous results. Methods : Dynamic 18F-FDG (GB n = 6 and RN n = 5), 18F-FET (GB n = 5 and RN n = 5) and 18F-FCho PET (GB n = 5 and RN n = 5) were acquired with continuous arterial blood sampling. Arterial input function (AIF) corrections, KM and GA were performed. Results : The influx rate (Ki) of 18F-FDG uptake described by a 2-compartmental model (CM) or using Patlak GA, showed more trapping (k(3)) in GB (0.07 min(-1)) compared to RN (0.04 min(-1)) (p = 0.017). K-1 of 18F-FET was significantly higher in GB (0.06 ml/ccm/min) compared to RN (0.02 ml/ccm/min), quantified using a 1-CM and Logan GA (p = 0.036). 18F-FCho was rapidly oxidized complicating data interpretation. Using a 1-CM and Logan GA no clear differences were found to discriminate GB from RN. Conclusions : Based on our results we concluded that using KM and GA both 18F-FDG and 18F-FET were able to discriminate GB from RN. Using a 2-CM model more trapping of 18F-FDG was found in GB compared to RN. Secondly, the influx of 18F-FET was higher in GB compared to RN using a 1-CM model. Important correlations were found between SUV and kinetic or graphical measures for 18F-FDG and 18F-FET. 18F-FCho PET did not allow discrimination between GB and RN.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
F-18-FLUOROCHOLINE, MRI, DIFFERENTIATION, F-18-FDG, METABOLISM, QUANTIFICATION, PROSTATE-CANCER, C-11-METHIONINE PET, POSITRON-EMISSION-TOMOGRAPHY, RECURRENT BRAIN-TUMOR
journal title
PLOS ONE
PLoS One
volume
11
issue
8
article number
e0161845
pages
16 pages
Web of Science type
Article
Web of Science id
000382258600107
JCR category
MULTIDISCIPLINARY SCIENCES
JCR impact factor
2.806 (2016)
JCR rank
15/64 (2016)
JCR quartile
1 (2016)
ISSN
1932-6203
DOI
10.1371/journal.pone.0161845
language
English
UGent publication?
yes
classification
A1
additional info
correction ["discrimination" misspelled in title] published in: PLoS One (2016) 11(10), e0164208 ; DOI 10.1371/journal.pone.0164208
copyright statement
I have retained and own the full copyright for this publication
id
8058802
handle
http://hdl.handle.net/1854/LU-8058802
date created
2016-09-02 09:31:43
date last changed
2017-03-03 13:36:06
@article{8058802,
  abstract     = {Background : Discrimination between glioblastoma (GB) and radiation necrosis (RN) post-irradiation remains challenging but has a large impact on further treatment and prognosis. In this study, the uptake mechanisms of 18F-fluorodeoxyglucose (18F-FDG), 18F-fluoroethyltyrosine (18F-FET) and 18F-fluoromethylcholine (18F-FCho) positron emission tomography (PET) tracers were investigated in a F98 GB and RN rat model applying kinetic modeling (KM) and graphical analysis (GA) to clarify our previous results. 
Methods : Dynamic 18F-FDG (GB n = 6 and RN n = 5), 18F-FET (GB n = 5 and RN n = 5) and 18F-FCho PET (GB n = 5 and RN n = 5) were acquired with continuous arterial blood sampling. Arterial input function (AIF) corrections, KM and GA were performed. 
Results : The influx rate (Ki) of 18F-FDG uptake described by a 2-compartmental model (CM) or using Patlak GA, showed more trapping (k(3)) in GB (0.07 min(-1)) compared to RN (0.04 min(-1)) (p = 0.017). K-1 of 18F-FET was significantly higher in GB (0.06 ml/ccm/min) compared to RN (0.02 ml/ccm/min), quantified using a 1-CM and Logan GA (p = 0.036). 18F-FCho was rapidly oxidized complicating data interpretation. Using a 1-CM and Logan GA no clear differences were found to discriminate GB from RN. 
Conclusions : Based on our results we concluded that using KM and GA both 18F-FDG and 18F-FET were able to discriminate GB from RN. Using a 2-CM model more trapping of 18F-FDG was found in GB compared to RN. Secondly, the influx of 18F-FET was higher in GB compared to RN using a 1-CM model. Important correlations were found between SUV and kinetic or graphical measures for 18F-FDG and 18F-FET. 18F-FCho PET did not allow discrimination between GB and RN.},
  articleno    = {e0161845},
  author       = {Bolcaen, Julie and Lybaert, Kelly and Moerman, Lieselotte and Descamps, Benedicte and Deblaere, Karel and Boterberg, Tom and Kalala Okito, Jean-Pierre and Van den Broecke, Caroline and De Vos, Filip and Vanhove, Christian and Goethals, Ingeborg},
  issn         = {1932-6203},
  journal      = {PLOS ONE},
  keyword      = {F-18-FLUOROCHOLINE,MRI,DIFFERENTIATION,F-18-FDG,METABOLISM,QUANTIFICATION,PROSTATE-CANCER,C-11-METHIONINE PET,POSITRON-EMISSION-TOMOGRAPHY,RECURRENT BRAIN-TUMOR},
  language     = {eng},
  number       = {8},
  pages        = {16},
  title        = {Kinetic modeling and graphical analysis of 18F-fluoromethylcholine (FCho), 18F-fluoroethyltyrosine (FET) and 18F-fluorodeoxyglucose (FDG) PET for the discrimination between high-grade glioma and radiation necrosis in rats},
  url          = {http://dx.doi.org/10.1371/journal.pone.0161845},
  volume       = {11},
  year         = {2016},
}

Chicago
Bolcaen, Julie, Kelly Lybaert, LIESELOTTE MOERMAN, Benedicte Descamps, Karel Deblaere, Tom Boterberg, Jean-Pierre Kalala Okito, et al. 2016. “Kinetic Modeling and Graphical Analysis of 18F-fluoromethylcholine (FCho), 18F-fluoroethyltyrosine (FET) and 18F-fluorodeoxyglucose (FDG) PET for the Discrimination Between High-grade Glioma and Radiation Necrosis in Rats.” Plos One 11 (8).
APA
Bolcaen, J., Lybaert, K., MOERMAN, L., Descamps, B., Deblaere, K., Boterberg, T., Kalala Okito, J.-P., et al. (2016). Kinetic modeling and graphical analysis of 18F-fluoromethylcholine (FCho), 18F-fluoroethyltyrosine (FET) and 18F-fluorodeoxyglucose (FDG) PET for the discrimination between high-grade glioma and radiation necrosis in rats. PLOS ONE, 11(8).
Vancouver
1.
Bolcaen J, Lybaert K, MOERMAN L, Descamps B, Deblaere K, Boterberg T, et al. Kinetic modeling and graphical analysis of 18F-fluoromethylcholine (FCho), 18F-fluoroethyltyrosine (FET) and 18F-fluorodeoxyglucose (FDG) PET for the discrimination between high-grade glioma and radiation necrosis in rats. PLOS ONE. 2016;11(8).
MLA
Bolcaen, Julie, Kelly Lybaert, LIESELOTTE MOERMAN, et al. “Kinetic Modeling and Graphical Analysis of 18F-fluoromethylcholine (FCho), 18F-fluoroethyltyrosine (FET) and 18F-fluorodeoxyglucose (FDG) PET for the Discrimination Between High-grade Glioma and Radiation Necrosis in Rats.” PLOS ONE 11.8 (2016): n. pag. Print.