UNLABELLED: We synthesized fluorine-18-labeled fluoroboronophenylalanine (18F-10B-FBPA), an analog of boronophenylalanine (10B-BPA), and characterized its pharmacokinetics in patients with glioma. We conducted PET studies on three types of gliomas to clarify the relationship between tumor grade and each rate constant [K1 (ml/g/min), k2 (min[-1]) and k3 (min[-1])], and here, we discuss the metabolism of the 10B-BPA analog (18F-10B-FBPA). METHODS: Thirty-three cases of primary gliomas were studied by dynamic PET using DL-18F-10B-FBPA or L-18F-10B-FBPA. Dynamic PET images of 18F-10B-FBPA incorporation into tumors were obtained, and the arterial blood samplings were performed in all cases. RESULTS: When the dynamic PET data were represented as Gjedde-Patlak plots, there was a positive slope, suggesting the involvement of the putative metabolic pool of this tracer. A three-compartment model using rate constants (K1, k2 and k3) was used for the kinetic analysis. The accumulation of 18F-10B-FBPA was found to correlate with the degree of malignancy, and the L form of 18F-10B-FBPA was taken up better than was the DL form. The results of dynamic PET analysis suggested that K1 (measuring amino acid transport process) is a major factor determining the accumulation of 18F-10B-FBPA. A comparison of the rate constants revealed that k3 (metabolic process) did not correlate with the degree of malignancy. The absence of evident differences in k3 between DL and L forms suggests that k3 represents phenomena that are not dependent on the native form of L. CONCLUSION: These PET data will be of practical use for diagnosis of malignancy and direct prediction of the effectiveness of boron neutron capture therapy using 10B-BPA.
UNLABELLED: We synthesized fluorine-18-labeled fluoroboronophenylalanine (18F-10B-FBPA), an analog of boronophenylalanine (10B-BPA), and characterized its pharmacokinetics in patients with glioma. We conducted PET studies on three types of gliomas to clarify the relationship between tumor grade and each rate constant [K1 (ml/g/min), k2 (min[-1]) and k3 (min[-1])], and here, we discuss the metabolism of the 10B-BPA analog (18F-10B-FBPA). METHODS: Thirty-three cases of primary gliomas were studied by dynamic PET using DL-18F-10B-FBPA or L-18F-10B-FBPA. Dynamic PET images of 18F-10B-FBPA incorporation into tumors were obtained, and the arterial blood samplings were performed in all cases. RESULTS: When the dynamic PET data were represented as Gjedde-Patlak plots, there was a positive slope, suggesting the involvement of the putative metabolic pool of this tracer. A three-compartment model using rate constants (K1, k2 and k3) was used for the kinetic analysis. The accumulation of 18F-10B-FBPA was found to correlate with the degree of malignancy, and the L form of 18F-10B-FBPA was taken up better than was the DL form. The results of dynamic PET analysis suggested that K1 (measuring amino acid transport process) is a major factor determining the accumulation of 18F-10B-FBPA. A comparison of the rate constants revealed that k3 (metabolic process) did not correlate with the degree of malignancy. The absence of evident differences in k3 between DL and L forms suggests that k3 represents phenomena that are not dependent on the native form of L. CONCLUSION: These PET data will be of practical use for diagnosis of malignancy and direct prediction of the effectiveness of boron neutron capture therapy using 10B-BPA.
Authors: Katja Havu-Aurén; Johanna Kiiski; Kaisa Lehtiö; Olli Eskola; Martti Kulvik; Ville Vuorinen; Vesa Oikonen; Jyrki Vähätalo; Juha Jääskeläinen; Heikki Minn Journal: Eur J Nucl Med Mol Imaging Date: 2006-07-29 Impact factor: 9.236
Authors: Heikki Joensuu; Leena Kankaanranta; Tiina Seppälä; Iiro Auterinen; Merja Kallio; Martti Kulvik; Juha Laakso; Jyrki Vähätalo; Mika Kortesniemi; Petri Kotiluoto; Tom Serén; Johanna Karila; Antti Brander; Eija Järviluoma; Päiivi Ryynänen; Anders Paetau; Inkeri Ruokonen; Heikki Minn; Mikko Tenhunen; Juha Jääskeläinen; Markus Färkkilä; Sauli Savolainen Journal: J Neurooncol Date: 2003 Mar-Apr Impact factor: 4.130
Authors: George W Kabalka; Trent L Nichols; Gary T Smith; Laurence F Miller; Mohammad K Khan; Paul M Busse Journal: J Neurooncol Date: 2003 Mar-Apr Impact factor: 4.130