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Explores metabolic differences in gliomas based on IDH mutation status, suggesting imaging biomarkers for prediction.
Aim To explore the correlation between isocitrate dehydrogenase (IDH) mutation status and 18 F-deoxyglucose ( 18 F-FDG) PET/computed tomography (CT) metabolic parameters in gliomas, and screen imaging biomarkers for preoperative prediction of IDH genotype. Methods Clinical and preoperative PET/CT data of 85 pathologically confirmed glioma patients were retrospectively analyzed, including 34 IDH-mutant and 51 IDH-wild-type cases. Lesion maximum standard uptake value (SUV max ), SUV max T/C (lesion-to-contralateral cortex) and SUV max T/W (lesion-to-contralateral white matter) were measured. Intergroup differences were compared via one-way analysis of variance, and receiver operating characteristic curves were applied to assess the predictive efficacy of significant parameters. Results All three metabolic indices were markedly elevated in IDH-wild-type tumors: SUV max (11.77 ± 5.94 vs. 9.46 ± 3.30; P = 0.042), SUV max T/C (1.63 ± 0.67 vs. 1.34 ± 0.40; P = 0.028), SUV max T/W (2.80 ± 1.19 vs. 2.31 ± 0.63; P = 0.024). SUV max T/C [area under the curve (AUC) = 0.671] and SUV max T/W (AUC = 0.668) showed moderate predictive value, whereas SUV max had poor performance (AUC = 0.339). Patients with IDH mutation were significantly younger. Conclusion IDH-wild-type gliomas present stronger glycolytic metabolism. 18 F-FDG PET/CT-derived SUV max , SUV max T/C, and SUV max T/W allow noninvasive preoperative evaluation of IDH status, with normalized ratio parameters demonstrating better diagnostic stability. Higher metabolic heterogeneity exists in IDH-wild-type gliomas.
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Zeng et al. (2026) studied this question.
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