A novel quantitative method for CT assessment of bronchiectasis using AI-based airway segmentation and upper limits of normal airway caliber

Abstract Background Bronchiectasis represents a growing global health burden. While computed tomography (CT) is essential for diagnosis, current criteria rely on broncho-arterial ratios and visual assessments, which are subject to inter-observer variability and can be confounded by pathological chan...

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Główni autorzy:	Naoya Tanabe, Atsuyasu Sato, Tomoki Maetani, Ryo Sakamoto, Motonari Fukui, Izuru Masuda, Megumi Kanasaki, Tomohiro Handa, Susumu Sato, Satoshi Morita, Toyohiro Hirai
Format:	Artigo
Język:	Inglês
Wydane:	BMC 2026-03-01
Seria:	Respiratory Research
Hasła przedmiotowe:	Bronchiectasis Airway dilation Airway remodeling Computed tomography Imaging
Dostęp online:	https://doi.org/10.1186/s12931-026-03629-y
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