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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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Main Authors: Naoya Tanabe, Atsuyasu Sato, Tomoki Maetani, Ryo Sakamoto, Motonari Fukui, Izuru Masuda, Megumi Kanasaki, Tomohiro Handa, Susumu Sato, Satoshi Morita, Toyohiro Hirai
Format: Artigo
Language:Inglês
Published: BMC 2026-03-01
Series:Respiratory Research
Subjects:
Bronchiectasis
Airway dilation
Airway remodeling
Computed tomography
Imaging
Online Access:https://doi.org/10.1186/s12931-026-03629-y
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