Automated quantification of airway wall thickness on chest CT using retina U-Nets – Performance evaluation and application to a large cohort of chest CTs of COPD patients

•An AI algorithm pipeline allows for automated measurement of airway wall thickness on CT.•Walls of airway generations 3–8 were significantly thicker in COPD patients compared to controls.•A classifier combining average airway wall thickness with an emphysema score was successfully differentiated CT...

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Veröffentlicht in:	European journal of radiology 2022-10, Vol.155, p.110460-110460, Article 110460
Hauptverfasser:	Weikert, Thomas, Friebe, Liene, Wilder-Smith, Adrian, Yang, Shan, Sperl, Jonathan I., Neumann, Dominik, Balachandran, Abishek, Bremerich, Jens, Sauter, Alexander W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Airway wall thickness Computed tomography COPD Deep learning Emphysema Humans Imaging biomarker Lung - diagnostic imaging Pulmonary Disease, Chronic Obstructive Pulmonary Emphysema Retina Retrospective Studies Tomography, X-Ray Computed - methods U-Net
Online-Zugang:	Volltext
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