Literature DB >> 23434392

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

Nicola Sverzellati1, Giorgia Randi, Paolo Spagnolo, Alfonso Marchianò, Mario Silva, Jan-Martin Kuhnigk, Carlo La Vecchia, Maurizio Zompatori, Ugo Pastorino.   

Abstract

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 1s (FEV1) independently of MLD (OR 5.37, 95% CI: 2.63-10.97 for FEV1<60% vs. FEV1≥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.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23434392     DOI: 10.1016/j.ejrad.2013.01.020

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  7 in total

1.  A mathematical simulation to assess variability in lung nodule size measurement associated with nodule-slice position.

Authors:  Krishna Juluru; Noor Al Khori; Sha He; Amy Kuceyeski; John Eng
Journal:  J Digit Imaging       Date:  2015-06       Impact factor: 4.056

2.  Extended Gabor approach applied to classification of emphysematous patterns in computed tomography.

Authors:  Rodrigo Nava; Boris Escalante-Ramírez; Gabriel Cristóbal; Raúl San José Estépar
Journal:  Med Biol Eng Comput       Date:  2014-02-05       Impact factor: 2.602

3.  Lung cancer: CT screening for lung cancer--do we have an answer?

Authors:  Ugo Pastorino; Nicola Sverzellati
Journal:  Nat Rev Clin Oncol       Date:  2013-11-05       Impact factor: 66.675

4.  Are interstitial lung abnormalities associated with COPD? A nested case-control study.

Authors:  Francesca Bozzetti; Ilaria Paladini; Enrico Rabaiotti; Alessandro Franceschini; Veronica Alfieri; Alfredo Chetta; Ernesto Crisafulli; Mario Silva; Ugo Pastorino; Nicola Sverzellati
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2016-05-26

5.  Pleural plaques in lung cancer screening by low-dose computed tomography: prevalence, association with lung cancer and mortality.

Authors:  Mario Silva; Nicola Sverzellati; Davide Colombi; Gianluca Milanese; Carlo La Vecchia; Carlotta Galeone; Alfonso Marchianò; Ugo Pastorino
Journal:  BMC Pulm Med       Date:  2017-11-25       Impact factor: 3.317

Review 6.  Interstitial lung abnormalities: new insights between theory and clinical practice.

Authors:  Roberta Eufrasia Ledda; Gianluca Milanese; Francesca Milone; Ludovica Leo; Maurizio Balbi; Mario Silva; Nicola Sverzellati
Journal:  Insights Imaging       Date:  2022-01-15

Review 7.  Advances in imaging for lung emphysema.

Authors:  Katharina Martini; Thomas Frauenfelder
Journal:  Ann Transl Med       Date:  2020-11
  7 in total

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