Multivariate Analysis of Pleural Invasion of Peripheral Non-Small Cell Lung Cancer-Based Computed Tomography Features
Multivariate Analysis of Pleural Invasion of Peripheral Non-Small Cell Lung Cancer-Based Computed Tomography Features
复制标题
基于计算机断层扫描特征的周围型非小细胞肺癌胸膜侵犯的多变量分析
DOI：
10.1097/rct.0000000000000439
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发表时间：
2016-09-01
影响因子：
1.3
通讯作者：
Sun, Ying-Shi
中科院分区：
文献类型：
--
作者：
Qi, Li-Ping;Li, Xiao-Ting;Sun, Ying-Shi
目的综合分析外周性非小细胞肺癌内脏性胸膜侵犯的ct表现，提高诊断准确性。方法回顾性分析205例非小细胞肺癌的ct表现。病变与胸膜的关系分为5级。进行多因素logistic回归分析以确定预测胸膜侵犯的独立因素。结果多因素logistic回归分析显示，性别（比值比[OR] 1.822, P = 0.080）、胸膜压痕（OR, 4.111, P < 0.001）、肿瘤密度（OR, 2.735, P = 0.008）、病变与胸膜距离（OR, 1.981, P = 0.048）是胸膜浸润的独立预测因素。得分10.6的患者胸膜浸润风险为80%，而得分低于2的患者胸膜浸润风险较低（20%）。结论综合考虑胸膜压痕、性别、肿瘤密度、病变与胸膜的距离等因素可提高胸膜浸润的诊断。
Objective The aim of this study was to comprehensively analyze computed tomography features to improve the diagnostic accuracy of visceral pleural invasion of peripheral non-small cell lung cancer.Methods The computed tomography features of 205 non-small cell lung cancer patients were retrospectively studied. The lesion's relation to the pleura was classified into 5 grades. A multivariate logistic regression analysis was conducted to identify independent factors predicting pleural invasion.Results The multivariate logistic regression analysis showed that sex (odds ratio [OR], 1.822; P = 0.080), pleural indentation (OR, 4.111; P < 0.001), tumor density (OR, 2.735; P = 0.008), and distance between the lesion and pleura (OR, 1.981; P = 0.048) were independent predictors of pleural invasion. A patient with a score of 10.6 had an 80% risk of pleural invasion, whereas a score lower than 2 was associated with a lower (20%) risk of pleural invasion.Conclusions Comprehensive consideration of these factors of pleural indentation, sex, tumor density, and distance between the lesion and pleura might improve the diagnosis of pleural invasion.