Lung attenuation in chronic obstructive pulmonary disease (COPD), is traditionally described with single univariate and multivariate statistical models. The results of this study demonstarted that the relationship between pulmonary function data and CT densitometric changes in COPD varies with the level of lung attenuation impairment. The nonlinear profile of this relationship is accurately predicted with a multiple model estimation approach.
Chronic Obstructive Pulmonary Disease: Pulmonary Function and CT Lung Attenuation Do Not Show Linear Correlation. Paoletti M, Cestelli L, / Paoletti, M; Cestelli, L; Bigazzi, F; Camiciottoli, G; Pistolesi, M. - In: RADIOLOGY. - ISSN 0033-8419. - STAMPA. - 276:(2015), pp. 571-578. [10.1148/radiol.2015141769]
Chronic Obstructive Pulmonary Disease: Pulmonary Function and CT Lung Attenuation Do Not Show Linear Correlation. Paoletti M, Cestelli L,
PAOLETTI, MATTEO;CAMICIOTTOLI, GIANNA;PISTOLESI, MASSIMO
2015
Abstract
Lung attenuation in chronic obstructive pulmonary disease (COPD), is traditionally described with single univariate and multivariate statistical models. The results of this study demonstarted that the relationship between pulmonary function data and CT densitometric changes in COPD varies with the level of lung attenuation impairment. The nonlinear profile of this relationship is accurately predicted with a multiple model estimation approach.
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