OBJECTIVES: Uncommon pathological subtypes of meningioma may present with severe peritumoral brain edema and mimic high-grade glioma (HGG). In a prospective cohort study of Ga-NOTA-PRGD2 PET/CT to evaluate glioma, we occasionally observed that a combination of Ga-NOTA-PRGD2 and F-FDG was able to differentiate these 2 lesion types. METHODS: From 2013 to 2016, 21 patients suspected of HGG by MRI were recruited for evaluation using Ga-NOTA-PRGD2 PET/CT. Brain F-FDG PET/CT was performed within 3 days for comparison, and the tumor was surgically removed. The PET results were compared with integrin αvβ3 expression and microvascular density quantification of tumor samples. RESULTS: Of the 21 recruited patients, 5 patients were finally pathologically diagnosed as uncommon meningioma with severe peritumoral brain edema, including chordoid meningioma (n = 1), angiomatous meningioma (n = 1), and mixed angiomatous and microcystic meningioma (n = 3). Sixteen were diagnosed as HGG. All the meningioma lesions (n = 5) exhibited intense and homogeneous Ga-NOTA-PRGD2 uptake with higher SUVmax on Ga-NOTA-PRGD2 PET (1.64-7.86; mean ± SD, 4.23 ± 2.48) than the HGG lesions (0.81-2.99; mean ± SD, 1.57 ± 0.33; P = 0.0047). Moreover, the uptake ratios of Ga-NOTA-PRGD2 over F-FDG, normalized as lg100 * SUVmax (RGD / FDG), in the uncommon meningiomas were significantly higher than those in HGG (1.87 ± 1.36 vs 1.04 ± 0.87, P = 0.0001). A cutoff value of 1.58 was able to discriminate between these lesion types. There were positive correlations among the expression level of integrin αvβ3, microvascular density, and the tumor-to-background ratio derived from Ga-NOTA-PRGD2 PET (P < 0.05). CONCLUSIONS: This study reveals a specific imaging pattern of uncommon meningioma mimicking HGG, in which Ga-NOTA-PRGD2 PET provided added value to F-FDG PET.
OBJECTIVES: Uncommon pathological subtypes of meningioma may present with severe peritumoral brain edema and mimic high-grade glioma (HGG). In a prospective cohort study of Ga-NOTA-PRGD2 PET/CT to evaluate glioma, we occasionally observed that a combination of Ga-NOTA-PRGD2 and F-FDG was able to differentiate these 2 lesion types. METHODS: From 2013 to 2016, 21 patients suspected of HGG by MRI were recruited for evaluation using Ga-NOTA-PRGD2 PET/CT. Brain F-FDG PET/CT was performed within 3 days for comparison, and the tumor was surgically removed. The PET results were compared with integrin αvβ3 expression and microvascular density quantification of tumor samples. RESULTS: Of the 21 recruited patients, 5 patients were finally pathologically diagnosed as uncommon meningioma with severe peritumoral brain edema, including chordoid meningioma (n = 1), angiomatous meningioma (n = 1), and mixed angiomatous and microcystic meningioma (n = 3). Sixteen were diagnosed as HGG. All the meningioma lesions (n = 5) exhibited intense and homogeneous Ga-NOTA-PRGD2 uptake with higher SUVmax on Ga-NOTA-PRGD2 PET (1.64-7.86; mean ± SD, 4.23 ± 2.48) than the HGG lesions (0.81-2.99; mean ± SD, 1.57 ± 0.33; P = 0.0047). Moreover, the uptake ratios of Ga-NOTA-PRGD2 over F-FDG, normalized as lg100 * SUVmax (RGD / FDG), in the uncommon meningiomas were significantly higher than those in HGG (1.87 ± 1.36 vs 1.04 ± 0.87, P = 0.0001). A cutoff value of 1.58 was able to discriminate between these lesion types. There were positive correlations among the expression level of integrin αvβ3, microvascular density, and the tumor-to-background ratio derived from Ga-NOTA-PRGD2 PET (P < 0.05). CONCLUSIONS: This study reveals a specific imaging pattern of uncommon meningioma mimicking HGG, in which Ga-NOTA-PRGD2 PET provided added value to F-FDG PET.
Authors: Francesco Ceci; Andrei Iagaru; R Laudicella; N Quartuccio; G Argiroffi; P Alongi; L Baratto; E Califaretti; V Frantellizzi; G De Vincentis; A Del Sole; L Evangelista; S Baldari; S Bisdas Journal: Eur J Nucl Med Mol Imaging Date: 2021-04-13 Impact factor: 10.057
Authors: K Mariam Slot; Dagmar Verbaan; Dennis R Buis; Linda J Schoonmade; Bart N M Berckel; W Peter Vandertop Journal: J Neuroimaging Date: 2020-11-02 Impact factor: 2.486