Unsupervised comprehensive CT imaging clusters reveal distinct morphological phenotypes in asthma: insights from two prospective cohorts.

doi:10.1186/s12931-026-03691-6

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Article

Unsupervised comprehensive CT imaging clusters reveal distinct morphological phenotypes in asthma: insights from two prospective cohorts.

Respiratory research - 27 Apr 2026

Hayashi Yusuke, Tanabe Naoya, Sato Atsuyasu, Hirano Tsunahiko, Iwamoto Hiroshi, Maetani Tomoki, Shiraishi Yusuke, Sakamoto Ryo, Sunadome Hironobu, Fukatsu-Chikumoto Ayumi, Otani Toshihito, Higaki Naoko, Amano Yoshihiro, Okimoto Tamio, Yamane Mayuka, Yokoyama Akihito, Date Hiroshi, Sato Susumu, Hattori Noboru, Matsunaga Kazuto, Hirai Toyohiro

Abstract excerpt

BACKGROUND: Asthma is a heterogeneous disease with diverse underlying structural abnormalities. Comprehensive evaluation of computed tomography (CT)-derived features may uncover novel morphological phenotypes with clinical relevance. This study aimed to identify and validate the morphological phenotypes of asthma using comprehensive inspiratory and expiratory CT features and assess their associations with...

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Identifiers

PMID: 42046063
DOI: 10.1186/s12931-026-03691-6
PMCID: PMC13289446

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