Interobserver variability in Lung CT Screening Reporting and Data System categorisation in subsolid nodule-enriched lung cancer screening CTs.

Sung Hyun YoonYong Ju KimKibbeum DohJunghoon KimKyung Hee LeeKyung Won LeeJihang Kim

Published in: European radiology (2021)

• Diagnostic performance for Lung-RADS categorisation is variable among radiologists with fair to moderate interobserver agreement in subsolid nodule-enriched CT scans. • Experienced thoracic radiologists showed more accurate and consistent Lung-RADS categorisation than radiology residents. • The relative abundance of part-solid nodules was a potential factor related to increased disagreement in Lung-RADS categorisation.

Keyphrases

computed tomography
artificial intelligence
contrast enhanced
dual energy
image quality
spinal cord
magnetic resonance imaging
emergency department
machine learning
risk assessment
high resolution
electronic health record
mass spectrometry
deep learning
microbial community