Randomised controlled trials, including the National Lung Screening Trial (NLST) and the
NELSON trial, have shown reduced mortality with lung cancer screening with low-dose CT …

Lung cancer is the leading cause of cancer-related mortality in the United States and
worldwide. Early detection of lung cancer is an important opportunity for decreasing …

The purpose of this statement is to describe and define the phenotypic abnormalities that
can be identified on visual and quantitative evaluation of computed tomographic (CT) …

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) …

Chronic obstructive pulmonary disease (COPD) is a risk factor for lung cancer. Migration of
circulating tumor cells (CTCs) into the blood stream is an early event that occurs during …

Chronic obstructive pulmonary disease (COPD) is a common respiratory disorder with
significant morbidity and mortality. Despite its prevalence, COPD is underdiagnosed, and …

Chronic airflow limitation is the common denominator of patients with chronic obstructive
pulmonary disease (COPD). However, it is not possible to predict morbidity and mortality of …

Chronic obstructive pulmonary disease (COPD) exhibits significant heterogeneity in its
clinical presentation and rate of disease progression among affected individuals, owing at …

Background Chronic obstructive pulmonary disease (COPD) is underdiagnosed in the
community. Thoracic CT scans are widely used for diagnostic and screening purposes for …

Quantitative computed tomography is being increasingly used to quantify the features of
chronic obstructive pulmonary disease, specifically emphysema, air trap**, and airway …