%A Lai Ruihe, Sheng Dandan, He Jian, Ding Chongyang, Geng Yuzhi %T Prognostic value of 18F-FDG PET/CT metabolic parameters in small cell lung cancer %0 Journal Article %D 2025 %J Journal of International Oncology %R 10.3760/cma.j.cn371439-20241115-00105 %P 614-620 %V 52 %N 10 %U {https://gjzlx.sdfmu.edu.cn/CN/abstract/article_11649.shtml} %8 2025-10-08 %X

ObjectiveTo evaluate the prognostic value of18F-fluorodeoxyglucose (18F-FDG) PET/CT metabolic parameters in small cell lung cancer (SCLC).MethodsA retrospective analysis was conducted on the clinical and imaging data of 156 SCLC patients, who underwent18F-FDG PET/CT imaging and were diagnosed by histopathological examination at Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School from September 2013 to February 2024. The metabolic tumor volume (MTV), total lesion glycolysis (TLG), linear regression slope, area under the curve of cumulative standard uptake value (SUV) volume histogram (AUC-CSH), and coefficient of variation (CV) were calculated using LIFEx software with different SUV thresholds. Univariate and multivariate analyses were performed using Cox proportional hazards model. Patient stratification was based on the critical values determined by receiver operator characteristic (ROC) curve analysis. The survival curve was plotted using the Kaplan-Meier method and log-rank test was performed.ResultsUnivariate analysis showed that MTV40%HR=2.91, 95%CI: 1.55-5.47,P=0.001), MTV60%HR=2.31, 95%CI: 1.29-4.17,P=0.005), TLG40%HR=2.07, 95%CI: 1.19-3.60,P=0.010), linear regression slope (HR=0.45, 95%CI: 0.26-0.79,P=0.005), and CV40%HR=0.27, 95%CI: 0.08-0.84,P=0.024) were factors affecting progression-free survival (PFS) in SCLC patients. MTV40%HR=1.98,95%CI: 1.22-3.22,P=0.005), MTV60%HR=1.80, 95%CI: 1.12-2.88,P=0.015), MTV80%HR=1.71, 95%CI: 1.08-2.74,P=0.024), TLG40%HR=3.68, 95%CI: 1.59-8.49,P=0.002), linear regression slope (HR=0.49, 95%CI: 0.30-0.80,P=0.004), and AUC-CSH80%HR=0.44, 95%CI: 0.23-0.84,P=0.013) were found to be factors affecting overall survival (OS) in SCLC patients. Multivariate analysis revealed that MTV40%HR=4.76, 95%CI: 1.11-20.50,P=0.036) was an independent factor influencing PFS, and TLG40%HR=3.19, 95%CI: 1.02-9.92,P=0.046) was an independent factor influencing OS in SCLC patients. ROC curve analysis identified the optimal cutoff value for MTV40%in predicting PFS as 5.5cm3and the optimal cutoff value for TLG40%in predicting OS as 41.5 g in SCLC patients. Survival analysis showed that patients with MTV40%≤5.5 cm3n=33) had a median PFS that was not reached, while patients with MTV40%>5.5 cm3n=123) had a median PFS of 10.3 months, with a statistically significant difference (χ²=12.09,P=0.001). For patients with TLG40%≤41.5 g (n=35), the median OS was not reached, whereas for TLG40%>41.5 g (n=121), the median OS was 31.6 months, with a statistically significant difference (χ²=10.55,P=0.001).ConclusionsThe18F-FDG PET/CT metabolic parameter MTV40%is an independent factor influencing PFS, while TLG40%is an independent factor influencing OS in SCLC patients. The above two parameters may serve as indicators for assessing the prognosis of SCLC patients.

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