18F-FDG PET/CT代谢参数联合癌胚抗原对良恶性孤立性肺结节的诊断价值
Diagnostic value of 18F-FDG PET/CT metabolic parameters combined with carcinoembryonic antigen in benign and malignant solitary pulmonary nodules
黄奇峰 1董科 1郭雅欣 1姜婷 1张倩倩 1郑勇1
作者信息
- 1. 321000 浙江,金华市中心医院核医学科
- 折叠
摘要
目的 探讨18F-氟代脱氧葡萄糖(FDG)PET/CT代谢参数联合癌胚抗原(CEA)对良恶性孤立性肺结节(SPN)的诊断价值.方法 行18F-FDG PET/CT检查的66例SPN患者,其中良性病变16例(良性病变组),恶性病变50例(恶性病变组),比较两组患者临床资料及18F-FDG PET/CT不同代谢参数.采用ROC曲线分析18F-FDG PET/CT代谢参数及CEA对恶性SPN的诊断效能.结果 良性病变组CEA、最大标准化摄取值(SUVmax)、平均标准化摄取值(SUVmean)、峰值瘦体标准化摄取值(SULpeak)、糖酵解总量(TLG)、肿瘤-纵隔血池最大标准摄取值比(TMR)和肿瘤-正常肝最大标准摄取值比(TLR)均低于恶性病变组(P＜0.05).SUVmax+SUVmean+SULpeak+TLG+TLR+TMR+CEA诊断恶性SPN的AUC为0.890,诊断的灵敏度和特异度分别为82.0％和87.5％.结论 18F-FDG PET/CT代谢参数联合CEA对良恶性SPN有较好的诊断效能.
Abstract
Objective To investigate the diagnostic value of 18F-FDG PET/CT metabolic parameters combined with carcinoembryonic antigen(CEA)in benign and malignant solitary pulmonary nodules(SPN).Methods A total of 66 patients with SPN underwent 18F-FDG PET/CT were divided into two groups of A(benign lesions,16 cases)and B(malignant lesions,50 cases).The clinical data and metabolic parameters of 18F-FDG PET/CT were compared between the two groups.ROC curve was used to analyze the diagnostic value of 18F-FDG PET/CT metabolic parameters and CEA in malignant SPN.Results The CEA,maximum standardized uptake value(SUVmax),mean standardized uptake value(SUVmean),peak uptake value of lean body weight(SUL peak),total lesion glycolysis(TLG),tumor-mediastinal blood pool maximum standard uptake ratio(TMR)and tumor normal liver maximum standard intake ratio(TLR)were lower in group A than those in group B(P＜0.05).The AUC of SUVmax+SUVmean+SULpeak+TLG+TLR+TMR+CEA in the diagnosis of malignant SPN was 0.890,and the diagnostic sensitivity and specificity were 82.0％and 87.5％,respectively.Conclusion 18F-FDG PET/CT metabolic parameters combined with CEA have better diagnostic efficiency for benign and malignant SPN.
关键词
孤立性肺结节/18F-氟代脱氧葡萄糖/正电子发射断层显像/计算机断层成像/癌胚抗原Key words
Solitary pulmonary nodules/18F-fluorodeoxyglucose/Positron emission tomography/computed tomography/Carcinoembryonic antigen引用本文复制引用
基金项目
金华市重大(重点)科学技术研究计划(2021-3-069)
出版年
2024
NETL
NSTL
万方数据