Su Yuling, Qiu Siwen, Wang Jinyu
Department of Nuclear Medicine, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, China.
Front Oncol. 2025 Apr 8;15:1533569. doi: 10.3389/fonc.2025.1533569. eCollection 2025.
To investigate the value of Fluorine-18 Fluorodeoxyglucose (F-FDG) Positron Emission Tomography/Computed Tomography (PET/CT) combined with 3D quantitative technology and clinicopathological features in predicting the prognosis of non-small cell lung cancer (NSCLC).
A retrospective review was performed for patients who underwent PET/CT and curative resection of NSCLC between January 2016 and June 2019 in our hospital. PET/CT data, clinical features, and pathology results were collected. Gross tumor volume (GTV) was delineated on CT images by ITK-SNAP software. The prognosis was followed up, and the study endpoint was progression-free survival (PFS). Receiver operating characteristic curve (ROC) was used to initially assess the relationship between each parameter and PFS, and parameters were grouped accordingly. Cox proportional hazards regression was used to develop models based on clinicopathological features to predict prognosis of NSCLC patients. Kaplan-Meier method was used to draw the survival curves.
A total of 128 patients were enrolled in the study with PFS of 8-96 months. Univariate analysis demonstrated that age, SUVindex (the ratio of SUVmax of lesion to SUVmax of liver), metabolic tumor volume (MTV), Dmax (the largest diameter), GTV, lymph node metastasis (LNM), and TNM staging are significantly related to recurrence (all p<0.05). The multivariate analysis showed that only age, SUVindex, and LNM were independent prognostic factor for PFS (all p < 0.05).
Although 18F-FDG PET/CT combined with 3D quantitative technique were helpful in predicting PFS in NSCLC, only age, SUVindex, and LNM were independent predictors for PFS.
探讨氟代脱氧葡萄糖（F-FDG）正电子发射断层显像/计算机断层扫描（PET/CT）联合三维定量技术及临床病理特征在预测非小细胞肺癌（NSCLC）预后中的价值。
回顾性分析2016年1月至2019年6月在我院接受PET/CT检查并进行NSCLC根治性切除的患者。收集PET/CT数据、临床特征及病理结果。通过ITK-SNAP软件在CT图像上勾画肿瘤总体积（GTV）。对患者进行预后随访，研究终点为无进展生存期（PFS）。采用受试者工作特征曲线（ROC）初步评估各参数与PFS之间的关系，并据此对参数进行分组。采用Cox比例风险回归模型，基于临床病理特征预测NSCLC患者的预后。采用Kaplan-Meier法绘制生存曲线。
共纳入128例患者，PFS为8-96个月。单因素分析显示，年龄、SUV指数（病变SUVmax与肝脏SUVmax之比）、代谢肿瘤体积（MTV）、最大直径（Dmax）、GTV、淋巴结转移（LNM）及TNM分期与复发显著相关（均p<0.05）。多因素分析显示，仅年龄、SUV指数及LNM是PFS的独立预后因素（均p<0.05）。
虽然18F-FDG PET/CT联合三维定量技术有助于预测NSCLC的PFS，但仅年龄、SUV指数及LNM是PFS的独立预测因素。
