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结合PET/CT中CT征象与18F-FDG最大SUV值提高诊断肺癌水平之方法学研究

Analysis on the Diagnostic Accuracy of Lung Cancer by Integrating CT and SUVmax of 18F-FDG PET

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【作者】 刘欣陈萍陈仰纯蔡欣田嘉禾杨小丰于丽娟辛军马黎明冯惠茹赵周社李宏利王爽吴文凯

【Author】 LIU Xin,CHEN Ping,CHEN Yang-chun,CAI Xing,TIAN Jia-he,YANG Xiao-feng,YU Li-juan,XIN Jun,MA Li-ming,FENG Hui-ru,ZHAO Zhou-she,LI Hong-li,WANG Shuang,WU Wen-kai(The 1st Affiliated Hospital of Guangzhou Medical University,Guanzhou 510120)

【机构】 广州医学院第一附属医院广州医学院第一附属医院中国人民解放军总院新疆自治区医院哈尔滨医科大学附属肿瘤医院中国医科大学附属盛京医院成都军区昆明军区总院北京军区总院美国通用电气医疗系统集团(中国)中国协和医科大学中国医学科学院肿瘤医院

【摘要】 目的:探讨结合PET/CT中低剂量CT得到的CT征象和18F-FDG最大SUV值提高对肺癌诊断准确度。材料和方法:多中心临床实验中16例病理证实的肺癌病人和39例非肺癌肺占位病人,对其7项CT征象及病灶SUV值进行判定,并对得到的资料进行logistic回归分析。结果:在PET/CT中低剂量CT的扫描条件下,病灶的分叶征、长毛刺征、周围病灶、淋巴结肿大及18F-FDG摄取被引入回归模型,其中分叶征、长毛刺征和18F-FDG摄取对病变判断的影响有统计学意义。得到的回归模型诊断效能为灵敏性68.8%、特异性94.9%、准确性87.3%。结论;CT征象对最大SUV值法诊断肺癌具有修正作用,其中长毛刺征和周围病灶的观察能明显降低最大SUV值法的假阳性率。

【Abstract】 Purpose:The purpose of this study was to compare the diagnostic accuracy of low dose CT signs and SUVmax of 18F-FDG PET/CT in differential diagnosis of lung cancer.Materials and Methods:16 patients of lung cancer and 39 patients of benign lesions were included in this study.The diagnosis of all patients was confirmed by pathology or by long-term followed up.Seven CT signs and the SUVmax of the lesions were used for making diagnosis.The diagnostic performance of CT signs and SUVs was statistically analyzed.Results:Using low dose CT,4 CT signs and the status of 18F-FDG uptake of a lesion were proved of influence over the accuracy of diagnosis.Combining the CT signs and SUVs resulted in a sensitivity of 68.8%,specificity of 94.9%,and accuracy of 87.3% in our studied population.Conclusion:CT signs had complement value to the status of 18F-FDG uptake in PET/CT imaging of pulmonary lesions.Especially,the signs of macrotrichia and satellite lesion were of value in avoiding the false positive result.

【关键词】 肺癌PET/CTCT18F-FDG
【Key words】 lung neoplasmsPET/CTX-ray computed tomography18F-FDG
  • 【文献出处】 中国医学影像学杂志 ,Chinese Journal of Medical Imaging , 编辑部邮箱 ,2008年04期
  • 【分类号】R734.2
  • 【被引频次】27
  • 【下载频次】478
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