Increased mean lung density: Another independent predictor of lung cancer?

详细信息    查看全文

• 作者：Nicola Sverzellati ; Giorgia R ; i ; Paolo Spagnolo ; Alfonso Marchian¨° ; Mario Silva ; Jan-Martin Kuhnigk ; Carlo La Vecchia ; Maurizio Zompatori ; Ugo Pastorino
• 关键词：Emphysema ; Phenotype ; Airflow obstruction ; CT ; Quantitative CT
• 刊名：European Journal of Radiology
• 出版年：2013
• 出版时间：August, 2013
• 年：2013
• 卷：82
• 期：8
• 页码：1325-1331
• 全文大小：1463 K

文摘

Objectives

To investigate the relationship between emphysema phenotype, mean lung density (MLD), lung function and lung cancer by using an automated multiple feature analysis tool on thin-section computed tomography (CT) data.

Methods

Both emphysema phenotype and MLD evaluated by automated quantitative CT analysis were compared between outpatients and screening participants with lung cancer (n = 119) and controls (n = 989). Emphysema phenotype was defined by assessing features such as extent, distribution on core/peel of the lung and hole size. Adjusted multiple logistic regression models were used to evaluate independent associations of CT densitometric measurements and pulmonary function test (PFT) with lung cancer risk.

Results

No emphysema feature was associated with lung cancer. Lung cancer risk increased with decreasing values of forced expiratory volume in 1 s (FEV₁) independently of MLD (OR 5.37, 95 % CI: 2.63-10.97 for FEV₁ < 60 % vs. FEV₁ ¡Ý 90 % ), and with increasing MLD independently of FEV₁ (OR 3.00, 95 % CI: 1.60-5.63 for MLD > ?823 vs. MLD < ?857 Hounsfield units).

Conclusion

Emphysema per se was not associated with lung cancer whereas decreased FEV₁ was confirmed as being a strong and independent risk factor. The cross-sectional association between increased MLD and lung cancer requires future validations.