Objective To analyze the correlation of clinicopathological characteristics and maximum standardized uptake value (SUVmax) detected by 18F-FDG PET-CT in non-small cell lung cancer (NSCLC). Methods 105 patients with NSCLC who underwent 18F-FDG PET-CT scan before surgical resection were reviewed retrospectively. Clinicopathological factors which might affect SUVmax were evaluated, including sex, age, smoking history, CEA level, tumor site, histological type, TNM stage, T factor, N factor, tumor size, lymphovascular invasion and pleural invasion features. Independent factors were identified by multiple regression analysis. The diagnostic efficiency and best cut-off point of SUVmax were calculated by the receiver operating characteristic curve. Results It was identified by the univariate analysis that the CEA level (P=0.002), tumor size (P<0.001), histological type (P<0.001), TNM stage (P<0.001), T factor (P<0.001), N factor (P<0.001), and lymphovascular invasion (P=0.001) were factors affecting SUVmax. While histological type (P=0.004), tumor size (P=0.036), N factor (P=0.043) were found to be significant independent factors according to multivariate regression analysis. The SUVmax of primary tumor was a predictor for lymphatic metastasis with the highest diagnostic accuracy at a cut-off value of 6.75, the sensitivity and specificity were 72.2 % and 81.6 %, respectively. Conclusions The SUVmax is correlated with histological type, tumor diameter, nodal status in NSCLC, and is higher in patients with non-adenocarcinoma, lager tumor and lymphatic metastasis. Furthermore, the probability of lymphatic metastasis could be predicted by SUVmax of the primary tumor. Key words: Carcinoma, non-small-cell lung; PET-CT; Deoxyglucose; Standardized uptake value; Pathology
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