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[目的]探讨肺肿物特征并利用相关指标判别肿物性质。[方法]对2011年1~12月在福建省立医院接受治疗的住院患者的临床资料进行回顾性分析,筛选临床信息完整且确诊肿物性质的患者,采用判别分析拟合一般资料、症状、实验室检查及影像学资料的综合函数预测肿物性质。[结果]体温+有无胸痛+肿物类型+肿物大小+分叶征+糖原蛋白CA199联合诊断良恶性肿物,判别准确率86.52%,灵敏度94.59%,特异度80.77%,阳性预测值77.78%,阴性预测值95.45%。[结论]体温+有无胸痛+肿物类型+肿物大小+分叶征+糖原蛋白CA199对临床肺部肿物诊断有较好的应用价值。
[Objective] To investigate the characteristics of lung tumor and use the related indicators to identify the nature of the tumor. [Methods] The clinical data of inpatients admitted to Fujian Provincial Hospital from January to December in 2011 were retrospectively analyzed. The patients with complete clinical information and confirmed tumor characteristics were screened. The discriminant analysis was used to fit the general data, symptoms, A comprehensive function of laboratory tests and imaging data to predict the nature of the tumor. [Results] Body temperature + presence or absence of chest pain + tumor size + tumor size + leaflet sign + glycogen protein CA199 combined diagnosis of benign and malignant tumors, the diagnostic accuracy of 86.52%, sensitivity 94.59%, specificity 80.77%, positive predictive value 77.78%, negative predictive value 95.45%. [Conclusion] Body temperature + presence or absence of chest pain + tumor type + tumor size + leaflet sign + glycogen protein CA199 has a good value in the diagnosis of clinical pulmonary masses.