作者: Kinga Grabinska , Maciej Pelak , Jerzy Wydmanski , Andrzej Tukiendorf , Andrea d’Amico
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摘要: AIM: To investigate the correlations of pre-treatment positron emission tomography-computer tomography (PET-CT) metabolic quantifiers with clinical data unstratified gastric cancer (GC) patients. METHODS: Forty PET-CT scans utilising 18-fluorodeoxyglucose in patients who received no prior treatment were analysed. Analysis involved measurements maximum and mean standardised uptake volumes (SUV), coefficient variation (COV), tumour total lesion glycolysis different thresholds above which tumor identified. The threshold values were: SUV absolute value 2.5, 30% SUVmax, 40% liver uptake-based (marked 30, 40 liv, respectively). Clinical variables such as age, sex, stage, performance index, weight loss, histological type grade, CEA CA19.9 levels included survival analysis. Patients various modalities appropriate to their disease stage outcome was defined by time metastasis (TTM) overall (OS). parameters evaluated analysis variance, receiver operating characteristics, univariate Kaplan-Meier, multivariate Cox models. P < 0.05 considered statistically significant. RESULTS: Significant differences observed between initially disseminated non-disseminated (6.05 vs 4.13, = 0.008), TLG2.5 (802 cm3 226 cm3; 0.031), TLG30 (436 247 cm3, 0.018). Higher COV associated poor differentiation (0.47 for G3 0.28 G1 G2; 0.03). MTV2.5 positively correlated patient loss ( 10%: 40.4 123.6 181.8 respectively, 0.003). In analysis, prognostic OS (HR 1.001, 95%CI: 1.0009-1.0017; 0.047) whole group patients. same model yet only including without initial dissemination 1.009, 1.003-1.014; 0.004) 1.02, 1.002-1.036; 0.025) OS; TTM significant variable 1.006, 1.001-1.012; 0.02). CONCLUSION: GC may represent a valuable diagnostic tool that requires further evaluation highly environments randomised trials.