Phenotypic clusters on computed tomography reflects asthma heterogeneity and severity.

ABSTRACT:

Background

Asthma is a heterogeneous inflammatory airway disorder with various phenotypes. Quantitative computed tomography (QCT) methods can differentiate among lung diseases through accurate assessment of the location, extent, and severity of the disease. The purpose of this study was to identify asthma clusters using QCT metrics of airway and parenchymal structure, and to identify associations with visual analyses conducted by radiologists.

Methods

This prospective study used input from QCT-based metrics including hydraulic diameter (D _h), luminal wall thickness (WT), functional small airway disease (fSAD), and emphysematous lung (Emph) to perform a cluster analysis and made comparisons with the visual grouping analysis conducted by radiologists based on

SUBMITTER: Kim S 

PROVIDER: S-EPMC9419448 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature