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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

(2016) PLOS ONE. 11(8).
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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.
Keywords
F-18-FLUOROCHOLINE, MRI, DIFFERENTIATION, F-18-FDG, METABOLISM, QUANTIFICATION, PROSTATE-CANCER, C-11-METHIONINE PET, POSITRON-EMISSION-TOMOGRAPHY, RECURRENT BRAIN-TUMOR

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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.
@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},
}

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