摘要
目的探讨^(18)F-FDG PET/CT双时相显像定性诊断肺占位性病变的价值。方法回顾性分析235例接受^(18)F-FDG PET/CT双时相显像的肺内占位性病变患者的临床和影像学资料,按照病理结果分为良性病变组(n=80)和恶性病变组(n=155)。比较2组早期和延迟显像中肺部病灶的最大标准摄取值(SUV_(max)),计算SUV_(max)变化率[以储留指数(RI)表示];以ROC曲线分析早期及延迟期肺部病灶SUV_(max)、RI对肺部恶性病变的诊断效能。结果恶性病变组早期及延迟期SUV_(max)均大于良性病变组(P均<0.001),且2组延迟期SUV_(max)均大于早期(P均<0.001)。恶性病变组RI大于良性病变组(P<0.001)。ROC曲线分析结果显示,早期SUV_(max)、延迟期SUV_(max)、RI及三者联合诊断肺部恶性病变的AUC分别为0.645、0.697、0.722及0.727(P均<0.05)。结论 ^(18)F-FDG PET/CT双时相显像可用于定性诊断肺占位性病变。
Objective To explore the value of 18F-FDG PET/CT dual-phase imaging in qualitative diagnosis of pulmonary occupying lesions. Methods Clinical and imaging data of 235 patients with pulmonary occupying lesions underwent 18F-FDG PET/CT dual-phase imaging were retrospectively analyzed. According to pathology results, the patients were divided into benign lesion group(n=80) and malignant lesion group(n=155). Maximal standardized uptake value(SUVmax) of pulmonary lesions in early and delayed imaging were compared between the two groups, and the change rate of SUVmax expressed as retention index(RI) were calculated. ROC curve was used to analyze the diagnostic efficacy of SUVmax in early and delayed imaging and RI for malignant pulmonary lesions. Results The early and delayed SUVmax in malignant lesion group were both higher than those in benign lesion group, and the delayed SUVmax in both groups were higher than the early SUVmax(all P<0.001). RI in malignant lesion group was higher than that in benign lesion group(P<0.001). ROC curve analysis showed that AUC of early SUVmax, delayed SUVmax, RI and combined of them for diagnosis of pulmonary malignant lesions were 0.645, 0.697, 0.722 and 0.727, respectively(all P<0.05). Conclusion 18F-FDG PET/CT dual-phase imaging can be used to qualitative diagnose pulmonary occupying lesions.
作者
石丽红
刘艳
谢新立
李彦鹏
韩星敏
SHI Lihong;LIU Yan;XIE Xinli;LI Yanpeng;HAN Xingmin(Department of Nuclear Medicine, the First Affiliated Hospital of Zhengzhou University,Zhengzhou 450052, China;Henan Medical Key Laboratory of Molecular Imaging, Zhengzhou 450052, China)
出处
《中国医学影像技术》
CSCD
北大核心
2019年第5期682-686,共5页
Chinese Journal of Medical Imaging Technology
基金
国家自然科学基金河南人才培养联合基金(U1404818)
