Predicting clinical outcome with phenotypic clusters using quantitative CT fibrosis and emphysema features in patients with idiopathic pulmonary fibrosis.
So Hyeon BakHye Yun ParkJin Hyun NamHo Yun LeeJeong Hyun LeeInsuk SohnMan Pyo ChungPublished in: PloS one (2019)
Cluster analysis identified distinct phenotypes, which predicted prognosis of clinical outcome. Formula using quantitative CT values is useful to assess extent of pulmonary fibrosis and emphysema with normal lung function in patients with IPF.
Keyphrases
- idiopathic pulmonary fibrosis
- lung function
- pulmonary fibrosis
- chronic obstructive pulmonary disease
- image quality
- dual energy
- cystic fibrosis
- air pollution
- computed tomography
- contrast enhanced
- interstitial lung disease
- high resolution
- positron emission tomography
- magnetic resonance imaging
- rheumatoid arthritis
- systemic sclerosis
- mass spectrometry
- preterm birth