Background Chronic obstructive pulmonary disease (COPD) has variable subtypes
involving mixture of large airway inflammation, small airway disease, and emphysema. This …

Pulmonary imaging measurements using magnetic resonance imaging (MRI) and computed
tomography (CT) have the potential to deepen our understanding of chronic obstructive …

Background Preexisting indexes for predicting the prognosis of chronic obstructive
pulmonary disease (COPD) do not use radiologic information and are impractical because …

Computed tomography (CT) is the modality of choice for imaging the thorax and lung
structure. In chronic obstructive pulmonary disease (COPD), it used to recognise the key …

Purpose Chronic obstructive pulmonary disease (COPD) is one of the most common chronic
illnesses in the world. Unfortunately, COPD is often difficult to diagnose early when …

Background Incidental CT findings may provide an opportunity for early detection of chronic
obstructive pulmonary disease (COPD), which may prove important in CT-based lung …

Comorbidities significantly contribute to morbidity, mortality, and health-care costs in
individuals with COPD. Comorbidity prevalence does not always correlate with lung disease …

Background Fixed airflow limitation and ventilation heterogeneity are common in chronic
obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and …

Background Quantitative CT is becoming increasingly common for the characterisation of
lung disease; however, its added potential as a clinical tool for predicting severe …

Rationale: Deep learning is a powerful tool that may allow for improved outcome prediction.
Objectives: To determine if deep learning, specifically convolutional neural network (CNN) …