| 许能銮,李鸿茹,陈愉生.肺肿物临床特征分析及其良恶性判别[J].中国肿瘤,2014,23(8):680-685. |
| 肺肿物临床特征分析及其良恶性判别 |
| The Characteristics and Differentiation for Patients with Lung Mass |
| 投稿时间：2013-11-13 |
| DOI：10.11735/j.issn.1004-0242.2014.08.A011 |
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| 中文关键词: 肺肿物 良性肿物 恶性肿瘤 临床特征 判别分析 |
| 英文关键词:lung mass Benign mass malignant tumor clinical characteristics discriminant analysis |
| 基金项目:福建省自然科学基金项目（2011J01130） |
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| 中文摘要: |
| 摘 要：［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。 |
| 英文摘要: |
| Abstract：［Purpose］ To investigate the characteristics of patients with lung mass and its differentiation.［Methods］ The clinical data of patients treated in Fujian Provincial Hospital from 2011 January to December were analyzed retrospectively. Patients with complete cinical data were enrolled. Fisher discriminant analysis was applied to predict property of the lung mass including general characteristics，symptoms，biomarkers and imaging features .［Results］ When using a function with temperature，chest pain，distribution of mass，size，lobulation and CA19-9 to identify mass，the accuracy was 86.52%，the sensitivity was 94.59%，the specificity was 80.77%，the positive predictive value was 77.78% and the negative predictive value was 95.45%.［Conclusions］ Combination of temperature，chest pain，distribution of mass，size，lobulation and CA199 has high value for identifying lung mass. |
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