COPD and Asthma Differentiation using Quantitative CT Biomarkers by Hybrid Feature Selection and Machine Learning

Kontogianni, Konstantina; Moslemi, Amir; Kirby, Miranda; Brock, Judith; Trudzinski, Franziska; Herth, Felix J.F.

doi:10.1183/13993003.congress-2021.pa1873

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2022

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“…HRCT is the main imaging tool for evaluation of emphysema and airways disease. One study presented at the congress aimed to determine if a machine learning approach using quantitative CT-derived features could differentiate COPD and asthma [ 52 ]. Using airway and parenchymal-related CT features, the algorithm could discriminate between asthma and COPD patients with 87% sensitivity, 71% specificity and 80% accuracy.…”

Section: Group 1402: Imagingmentioning

confidence: 99%

ERS International Congress 2021: highlights from the Clinical Techniques, Imaging and Endoscopy Assembly

et al. 2022

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This manuscript summarises the highlights from the virtual European Respiratory Society's “Clinical techniques, imaging and endoscopy” Assembly 14 presented at the 2021 European Respiratory Society International Congress. Cutting-edge innovative developments in both diagnostic approaches and therapeutic strategies in patients with lung cancer, interstitial lung disease, obstructive airway disorders and infectious diseases were presented on this year's interactive congress platform. In this manuscript, the Assembly 14 subgroups summarise the key take home messages given new research outcomes and place them in the context of the current knowledge.

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Section: Group 1402: Imagingmentioning

confidence: 99%