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- W2960319424 abstract "Aim To study the association of metabolic features of 18 F-fluorocholine in gliomas with histopathological and molecular parameters, progression-free survival (PFS) and overall survival (OS). Methods Prospective multicenter and nonrandomized study (Functional and Metabolic Glioma Analysis). Patients underwent a basal 18 F-fluorocholine PET/CT and were included after histological confirmation of glioma. Histological and molecular profile was assessed: grade, Ki-67, isocitrate dehydrogenase status and 1p/19q codeletion. Patients underwent standard treatment after surgery or biopsy, depending on their clinical situation. Overall survival and PFS were obtained after follow-up. After tumor segmentation of PET images, SUV and volume-based variables, sphericity, surface, coefficient of variation, and multilesionality were obtained. Relations of metabolic variables with histological, molecular profile and prognosis were evaluated using Pearson χ 2 and t test. Receiver operator caracteristic curves were used to obtain the cutoff of PET variables. Survival analysis was performed using Kaplan-Meier and Cox regression analysis. Results Forty-five patients were assessed; 38 were diagnosed as having high-grade gliomas. Significant differences of SUV-based variables with isocitrate dehydrogenase status, tumor grade, and Ki-67 were found. Tumor grade, Ki-67, SUVmax, and SUVmean were related to progression. Kaplan-Meier analysis revealed significant associations of SUVmax, SUVmean, and multilesionaly with OS and PFS. SUVmean, sphericity, and multilesionality were independent predictors of OS and PFS in Cox regression analysis. Conclusions Metabolic information obtained from 18 F-fluorocholine PET of patients with glioma may be useful in the prediction of tumor biology and patient prognosis." @default.
- W2960319424 created "2019-07-23" @default.
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- W2960319424 date "2019-07-15" @default.
- W2960319424 modified "2023-10-18" @default.
- W2960319424 title "18F-Fluorocholine PET/CT in the Prediction of Molecular Subtypes and Prognosis for Gliomas" @default.
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- W2960319424 doi "https://doi.org/10.1097/rlu.0000000000002715" @default.
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