Quantitative analysis of lung parenchymal involvement in Behçet's disease by the novel automatic program.

Gökhan PolatMehmet Alperen TezcanMerve PolatFurkan BarutçugilTuncay BayramRecep SadeÖzlem KudaşR Berhan PirimoğluElshad İsmailovaAhmet YalçınEmrah MeletlioğluMustafa Kahraman

Published in: International journal of rheumatic diseases (2023)

Lung volumetric changes in Behçet's disease patients are the quantitative data most affected by the disease. In addition, lung volume decreases in Behçet's patients who do not have visual parenchymal involvement.

Keyphrases

end stage renal disease
newly diagnosed
machine learning
prognostic factors
quality improvement
mass spectrometry