PURPOSE: Dynamic PET studies with a ⁶⁸Ga-Bombesin analog, the ⁶⁸Ga-BZH₃, were performed in patients with highly suspected recurrent gliomas to investigate the effect of the receptor scintigraphy on tumor grading. Furthermore, dynamic F-18 Fluorodeoxyglucose (FDG) studies were performed for comparison. METHODS: The study consisted of 15 patients with histologically confirmed recurrent gliomas. Dynamic PET scans using ⁶⁸Ga-BZH₃ and FDG were obtained on 2 different days within 1 week. Multivariate analysis was used for the evaluation of the kinetic data. Standardized uptake values were calculated and a compartment (2-tissue) as well as a noncompartment model was used for data evaluation of both tracers. RESULTS: The evaluation includes 6 patients with a WHO II, 6 patients with a WHO III, and 3 patients with a WHO IV recurrent gliomas. Of the 15 patients, 10 patients demonstrated an increased ⁶⁸Ga-BZH₃ uptake visually, 3 of them with a WHO II, 4 with a WHO III, and 3 with a WHO IV tumor. Of the 15 patients, 6 patients revealed an enhanced FDG metabolism visually, 3 of them with a WHO II, and 3 with a WHO III. None of the 3 patients with WHO IV tumor demonstrated an enhanced FDG-uptake. Discriminant analysis based on a combination of FDG influx and binding potential of ⁶⁸Ga-BZH₃ best discriminated between low- and high-grade gliomas with a correct classification rate of 100%. CONCLUSIONS: ⁶⁸Ga-BZH₃ seems to be helpful in patients with recurrent gliomas for the differentiation between low- and high-grade gliomas. Overall, the quantitative evaluation was superior to the visual analysis and the parameters of the ⁶⁸Ga-BZH₃ kinetics were more helpful than those of FDG for the differentiation between low- and high-grade gliomas.
PURPOSE: Dynamic PET studies with a ⁶⁸Ga-Bombesin analog, the ⁶⁸Ga-BZH₃, were performed in patients with highly suspected recurrent gliomas to investigate the effect of the receptor scintigraphy on tumor grading. Furthermore, dynamic F-18 Fluorodeoxyglucose (FDG) studies were performed for comparison. METHODS: The study consisted of 15 patients with histologically confirmed recurrent gliomas. Dynamic PET scans using ⁶⁸Ga-BZH₃ and FDG were obtained on 2 different days within 1 week. Multivariate analysis was used for the evaluation of the kinetic data. Standardized uptake values were calculated and a compartment (2-tissue) as well as a noncompartment model was used for data evaluation of both tracers. RESULTS: The evaluation includes 6 patients with a WHO II, 6 patients with a WHO III, and 3 patients with a WHO IV recurrent gliomas. Of the 15 patients, 10 patients demonstrated an increased ⁶⁸Ga-BZH₃ uptake visually, 3 of them with a WHO II, 4 with a WHO III, and 3 with a WHO IV tumor. Of the 15 patients, 6 patients revealed an enhanced FDG metabolism visually, 3 of them with a WHO II, and 3 with a WHO III. None of the 3 patients with WHO IV tumor demonstrated an enhanced FDG-uptake. Discriminant analysis based on a combination of FDG influx and binding potential of ⁶⁸Ga-BZH₃ best discriminated between low- and high-grade gliomas with a correct classification rate of 100%. CONCLUSIONS: ⁶⁸Ga-BZH₃ seems to be helpful in patients with recurrent gliomas for the differentiation between low- and high-grade gliomas. Overall, the quantitative evaluation was superior to the visual analysis and the parameters of the ⁶⁸Ga-BZH₃ kinetics were more helpful than those of FDG for the differentiation between low- and high-grade gliomas.
Authors: Manuel Röhrich; Kristin Huang; Daniel Schrimpf; Nathalie L Albert; Thomas Hielscher; Andreas von Deimling; Ulrich Schüller; Antonia Dimitrakopoulou-Strauss; Uwe Haberkorn Journal: Eur J Nucl Med Mol Imaging Date: 2018-05-07 Impact factor: 9.236
Authors: Irene Ramos-Álvarez; Paola Moreno; Samuel A Mantey; Taichi Nakamura; Bernardo Nuche-Berenguer; Terry W Moody; David H Coy; Robert T Jensen Journal: Peptides Date: 2015-05-11 Impact factor: 3.750
Authors: C Sachpekidis; M Eder; K Kopka; W Mier; B A Hadaschik; U Haberkorn; A Dimitrakopoulou-Strauss Journal: Eur J Nucl Med Mol Imaging Date: 2016-01-12 Impact factor: 9.236
Authors: Ying Li; Zhibo Liu; Curtis W Harwig; Maral Pourghiasian; Joseph Lau; Kuo-Shyan Lin; Paul Schaffer; Francois Benard; David M Perrin Journal: Am J Nucl Med Mol Imaging Date: 2013-01-05
Authors: Dewei Tang; Jun Li; Michael L Nickels; Gang Huang; Allison S Cohen; H Charles Manning Journal: Mol Imaging Biol Date: 2019-02 Impact factor: 3.488