Prognostic value of 18F-FDG PET/CT imaging and VEGF expression in non-small cell lung cancer

ZHOU Xiao-liang1; DENG Hao-yu2; WU Wu-lin1; MO Yi3; LOU Ming-wu1

doi:10.12117/jccmi.2019.03.006

Journal of China Clinic Medical Imaging ›› 2019, Vol. 30 ›› Issue (3) : 174-178. DOI: 10.12117/jccmi.2019.03.006

ZHOU Xiao-liang1, DENG Hao-yu2, WU Wu-lin1, MO Yi3, LOU Ming-wu1

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Abstract

Objective: To evaluate the value of PET/CT imaging and VEGF expression in predicting postoperative outcome of non-small cell lung cancer. Methods: Forty patients with non-small cell lung cancer underwent preoperative whole-body PET/CT imaging examination. Tissue samples were collected for VEGF immunohistochemical analysis. Mattern’s semi-quantitative analysis was used to evaluate the VEGF expression in the tumor tissue. According to the clinical and pathological characteristics, the differences of SUVmax and VEGF expression scores among different groups were compared and their correlations were analyzed. Results: SUVmax and VEGF expression scores were significantly correlated with tumor size and differentiation (P<0.05). SUVmax and VEGF expression scores in lung cancer were significantly correlated(r=0.394, P<0.01). Kaplan-Meier analysis showed that SUVmax and VEGF scores were the influencing factors of patient survival. The disease-free survival time of SUVmax ≤7.3 was longer than >7.3 groups(P<0.05). The disease-free survival time of VEGF score ≤3 was also higher than that of VEGF score >3 groups. Cox multivariate analysis showed that SUVmax and TNM staging were independent prognostic factors for patient survival. Conclusion: SUVmax and VEGF expression are related to tumor differentiation and recurrence. SUVmax and VEGF expression scores can be considered as index to evaluate the prognosis of patients.

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Carcinoma, non-small-cell lung / Fluorodeoxyglucose F18 / Positron-emission tomography

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ZHOU Xiao-liang1, DENG Hao-yu2, WU Wu-lin1, MO Yi3, LOU Ming-wu1. Prognostic value of 18F-FDG PET/CT imaging and VEGF expression in non-small cell lung cancer[J]. Journal of China Clinic Medical Imaging. 2019, 30(3): 174-178 https://doi.org/10.12117/jccmi.2019.03.006

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