Volumetric parameters of the primary tumor and whole-body tumor burden derived from baseline (18)F-FDG PET/CT can predict overall survival in non-small cell lung cancer patients: initial results from a single institution

基于基线 (18)F-FDG PET/CT 的原发肿瘤体积参数和全身肿瘤负荷可预测非小细胞肺癌患者的总生存期:来自单中心的初步结果

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Abstract

BACKGROUND: Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) are volumetric parameters derived from (18)F-FDG PET/CT, suggested to have a prognostic value in cancer patients. Our study aimed to test whether these volumetric parameters of the primary tumor and whole-body tumor burden (WBTB) can predict overall survival (OS) in non-small cell lung cancer (NSCLC) patients. MATERIALS AND METHODS: Thirty biopsy-proven NSCLC patients who had not begun anti-tumor therapy were included in this prospective study. A baseline (18)F-FDG PET/CT study was acquired. Scans were interpreted visually and semi-quantitatively by drawing a 3D volume of interest (VOI) over the primary tumor and all positive lesions to calculate metabolic, volumetric parameters, and WBTB. The PET parameters were used to stratify patients into high- and low-risk categories. The overall survival was estimated from the date of scanning until the date of death or last follow-up. RESULTS: At a median follow-up of 22.73 months, the mean OS was shorter among patients with higher tu MTV and tu TLG and high WBTB. High WB TLG was independently associated with the risk of death (p < 0.025). Other parameters, e.g., SUV(max), SUV(peak), and SUV(mean), were not predictive of outcomes in these patients. CONCLUSION: In patients with NSCLC, tu MTV, tu TLG, and WBTB determined on initial staging (18)F-FDG PET/CT seems to be a strong, independent imaging biomarker to predict OS, superior to the clinical assessment of the primary tumor. The WB TLG was found to be the best predictor of OS.

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