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Dataset Information

Computer quantification of airway collapse on forced expiration to predict the presence of emphysema.


ABSTRACT:

Background

Spirometric parameters are the mainstay for diagnosis of COPD, but cannot distinguish airway obstruction from emphysema. We aimed to develop a computer model that quantifies airway collapse on forced expiratory flow-volume loops. We then explored and validated the relationship of airway collapse with computed tomography (CT) diagnosed emphysema in two large independent cohorts.

Methods

A computer model was developed in 513 Caucasian individuals with ≥15 pack-years who performed spirometry, diffusion capacity and CT scans to quantify emphysema presence. The model computed the two best fitting regression lines on the expiratory phase of the flow-volume loop and calculated the angle between them. The collapse was expressed as an Angle of collapse (AC) which was then

SUBMITTER: Topalovic M 

PROVIDER: S-EPMC3870969 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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