Relationship between 18F-FDG PET-CT metabolic parameters and clinicopathological features of patients with lung squamous cell carcinoma / 肿瘤研究与临床

ABSTRACT

Objective To investigate the relationship between metabolic parameters of 18F-FDG PET-CT and cilinicopathological features of patients with lung squamous cell carcinoma. Methods The study comprised 118 patients with lung squamous cell carcinoma. All patients undergone 18F-FDG PET-CT before surgery. Maximum standardized uptake value (SUVmax) and metabolic tumor volume (MTV) were measured, and total lesion glycolysis (TLG) was calculated. Relationship between metabolic parameters and clinicopathological factors was analyzed. Results SUVmax, MTV and TLG of 118 primary lesions were 11.93 (3.12-41.46), 27.71 cm3 (0.54-347.10 cm3) and 153.13 (1.65-2219.37), respectively. SUVmax was related to tumor differentiation degree and pleural invasion (χ2= 15.358, P= 0.000; Z= -2.875, P= 0.004); MTV was related to tumor differentiation degree, pleural invasion, vascular invasion and lymphatic metastasis (χ2= 13.341, P= 0.001; Z= -2.855, P= 0.004; Z= -2.683, P= 0.008; Z= -3.951, P= 0.000), TLG was also related to these clinicopathological factors (χ2= 15.609, P= 0.001;Z= -3.901, P= 0.002;Z= -2.311, P=0.021;Z= -3.721, P= 0.000). T stage and TNM stage had positive correlation with all metabolic parameters (r= 0.326, 0.794, 0.732;r= 0.358, 0.718, 0.668; all P< 0.05). And for N stage, SUVmax was no correlative (r=0.125, P=0.107), but MTV and TLG were positively correlative (r=0.399, 0.371, both P< 0.05). According the MTV or TLG and tumor size, patiens were divided into three groups low-risk group, moderate-risk group and high-risk group. Significant differences were found among the three groups not even in MTV model, but also in TLG model (χ2= 20.800, P= 0.000; χ2= 20.069, P= 0.000). Conclusions Metabolic parameters of lung squamous cell carcinoma primary lesion have good correlation with clinicopathological factors, and can reflect partial characteristics of the tumor pathology in a certain extent. Furthermore, the probability of lymphatic metastasis could be predicted by MTV or TLG combined with tumor size.