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Correlation of 18F-FDG PET/CT metabolic parameters and clinicopathological factors of primary gastric cancer / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 95-99, 2019.
Article in Chinese | WPRIM | ID: wpr-861500
ABSTRACT
Objective To investigate the correlation of metabolic parameters of 18F-FDG PET/CT and clinicopathological factors of gastric cancer. Methods 18F-FDG PET/CT characteristics and clinical data of histopathologically proved gastric cancer in 44 patients were reviewed retrospectively. The maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean) and metabolic tumor volume (MTV) of primary lesions were measured, and total lesion glycolysis (TLG) was calculated. The differences of the above metabolic parameters among different T-stage, N-stage, pathological stage and cell differentiated degree of tumors were compared, and the correlation of metabolic parameters and clinicopathological factors was analyzed. Results SUVmax, SUVmean, MTV and TLG of 44 primary lesions was 5.81 (3.45, 7.77), 3.42 (1.87, 4.37), 14.80 (9.02, 25.19)cm3 and 42.03 (18.89, 107.87) g, respectively. There was no statistical difference of SUVmax, SUVmean, MTV nor TLG between different T-stage of primary lesions (all P>0.05). There were statistical differences of MTV and TLG of different N-stage and pathological stage groups (all P0.05). There were statistical differences of SUVmax and SUVmean among different cell differentiated degrees (both P0.05). SUVmax and SUVmean were positively correlated with T-stage and cell differentiated degree of tumors (all P0.05). MTV and TLG were positively correlated with T-stage, N-stage with pathological stage of tumors (all P0.05). Conclusion 18F-FDG PET/CT metabolic parameters of primary gastric cancer could reflect partial clinicopathological characteristics, therefore being helpful to individual treatment planning.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article