18F-FDG符合线路代谢显像在肺部病变影像诊断中的应用价值

目的探讨18F-FDG符合线路代谢显像在肺部病变影像诊断中的价值。方法选择2015年3月至2018年1月在铜陵市人民医院核医学科行18F-FDG符合线路代谢显像检查的48例肺部病变患者,对其代谢图像分别采用目测法及半定量法进行分析判断,比较2种方法的诊断价值。结果 48例患者在18F-FDG符合线路代谢显像中以目测法等级3级作为恶性病变的诊断标准,其诊断价值较高,阴性预测值、阳性预测值、敏感性、特异性、准确性分别为70. 00%、86. 84%、91. 67%、58. 33%和83. 33%。良恶性病变半定量参数靶区与非靶区比值(T/NT值)的差异有统计学意义(P <0. 05),以T/NT值为诊断标准作非参数法拟合受试者工作特征曲线(ROC曲线),曲线下面积约为0. 50,其诊断效能较低。依据ROC曲线得出T/NT值诊断肺部恶性病变的阈值为13. 25,其诊断价值的敏感性、特异性、准确性分别为50. 00%、80. 00%和50. 00%。结论18F-FDG符合线路代谢显像在肺部病变的诊断与鉴别诊断中目测法较半定量参数T/NT值诊断价值高,应用简便。

The diagnostic value of 18F-FDG coincidence metabolism imaging in pulmonary diseases

Objective To evaluate the diagnostic value of ¹⁸F-FDG coincidence metabolic imaging in the pulmonary lesions. Methods The imaging data of 48 patients with pulmonary lesions who underwent ¹⁸F-FDG coincidence metabolic imaging in the Department of Nuclear Medicine of Tongling People''s Hospital from March 2015 to January 2018were selected.The metabolic images were visually and semi-quantitatively used. The clinical value of the two methods was analyzed and judged. Results Using ¹⁸F-FDG coincidence line metabolic imaging with visual grade 3 as the diagnostic criteria for malignant lesions had much higher diagnostic value,and the negative predictive value,positive predictive value,sensitivity,specificity, accuracy was 70.00%, 86.84%, 91.67%, 58.33%, 83.33%, respectively.The T/NT value of the semi-quantitative parameters of benign and malignant lesions was significantly different(P<0.05). The T/NT value was used as the diagnostic criteria to fit the receiver operating characteristic curve (ROC curve),the area under the curve was about 0.50,withlow diagnostic efficiency.According to ROC curve, T/NT value was 13.25 for the diagnosis of malignant lung lesions, and the sensitivity, specificity and accuracy of the diagnostic value was 50.00%, 80.00%, and 50.00%, respectively.Conclusion In the diagnosis of pulmonary diseases,the diagnostic value of ¹⁸F-FDG coincidence metabolic imaging visual method is higher than that of semi-quantitative parameter T/NT method,and the application is simpler.