Machine learning slice-wise whole-lung CT emphysema score correlates with airway obstruction.
Mats LidénAntoine SpahrOla HjelmgrenSimone BendazzoliJosefin SundhMagnus SköldGöran BergströmChunliang WangPer ThunbergPublished in: European radiology (2023)
• A slice-wise whole-lung emphysema score (SWES) was developed to quantify emphysema in chest CT images. • SWES identified visual emphysema and spirometric airflow limitation significantly better than threshold-based score (LAV950). • SWES improved emphysema quantification in CT images, which is especially useful in large-scale research.
Keyphrases
- chronic obstructive pulmonary disease
- image quality
- lung function
- pulmonary fibrosis
- dual energy
- computed tomography
- machine learning
- idiopathic pulmonary fibrosis
- contrast enhanced
- deep learning
- convolutional neural network
- optical coherence tomography
- positron emission tomography
- cystic fibrosis
- air pollution
- magnetic resonance