Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.
Kyle A HasenstabNancy F YuanTara A RetsonDouglas J ConradSeth J KligermanDavid A LynchAlbert Hsiaonull nullPublished in: Radiology. Cardiothoracic imaging (2021)
Automated CT algorithms can facilitate staging of COPD severity, have diagnostic performance comparable with that of spirometric GOLD staging, and provide further prognostic value when used in conjunction with GOLD staging.Supplemental material is available for this article.© RSNA, 2021See also commentary by Kalra and Ebrahimian in this issue.
Keyphrases
- deep learning
- convolutional neural network
- lymph node
- pet ct
- machine learning
- artificial intelligence
- computed tomography
- image quality
- contrast enhanced
- chronic obstructive pulmonary disease
- positron emission tomography
- high throughput
- dual energy
- type diabetes
- cardiovascular events
- magnetic resonance
- lung function
- risk factors
- silver nanoparticles
- cardiovascular disease