Software-based quantitative analysis of lung parenchyma in patients with systemic sclerosis may provide new generation data for pulmonary fibrosis.
Duygu Temiz KaradağOzgur CakirAndac KomacAyten YazıcıAyşe CeflePublished in: International journal of clinical practice (2020)
Lung density and volume in SSc patients changed significantly in those with PF and those without. Quantitative information extracted by soft-ware aided methods may contribute more to the detection, screening, and risk prediction in SSc-related PF.
Keyphrases
- systemic sclerosis
- pulmonary fibrosis
- end stage renal disease
- interstitial lung disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- healthcare
- electronic health record
- big data
- rheumatoid arthritis
- deep learning
- label free
- loop mediated isothermal amplification
- social media
- idiopathic pulmonary fibrosis