Health AI Central
Peer-Reviewed Publication
Eur Radiol2026September 30, 2026Journal Article

Radiologist and AI performance in detecting mucus plugs on chest CT.

Soonho Yoon1, Seth J Kligerman2, Samuel R Friedlander3, Rūdolfs Latišenko4, Jean-Paul Charbonnier4, Harm Tiddens4,5, David A Lynch2, Stephen M Humphries2
1Department of Radiology, National Jewish Health, Denver, CO, USA. yshoka@gmail.com.
2Department of Radiology, National Jewish Health, Denver, CO, USA.
3Department of Radiology, School of Medicine, Duke University, Durham, NC, USA.
4Thirona, Nijmegen, The Netherlands.
5Department of Pediatric Pulmonology and Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
PubMed DOI

Abstract

OBJECTIVES: To compare automated mucus plug detection with radiologist evaluation, assess AI-assisted detection, and examine associations of algorithm-derived airway obstruction burden with COPD severity. MATERIALS AND METHODS: This retrospective analysis included 278 COPDGene participants selected across never-smokers, smokers with preserved ratio-impaired spirometry, and GOLD stages 0-4. An AI…

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