Document Type
Article
Publication Date
10-22-2019
Journal
Radiology
Volume
293
Issue
3
First Page
676
Last Page
684
URL with Digital Object Identifier
https://doi.org/10.1148/radiol.2019190450
Abstract
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and parenchymal measurements but cannot be used to directly determine lung function. Purpose To develop, train, and test a CT texture analysis and machine-learning algorithm to predict lung ventilation heterogeneity in participants with COPD. Materials and Methods In this prospective study (
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