Uncontrolled asthma phenotypes defined from parameters using quantitative CT analysis
Autor: | Zhengdao Lai, Qingling Zhang, Tingting Xia, Yubao Guan, Xiaoxian Zhang, Nanshan Zhong |
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Rok vydání: | 2019 |
Předmět: |
Adult
Male medicine.medical_specialty Adolescent Lumen (anatomy) Disease Air trapping Pulmonary function testing Atopy Young Adult Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Lung Aged Asthma Body surface area business.industry General Medicine Middle Aged medicine.disease Respiratory Function Tests respiratory tract diseases Phenotype Exhalation Cardiology Airway Remodeling Female Radiology medicine.symptom Tomography X-Ray Computed business Airway |
Zdroj: | European Radiology. 29:2848-2858 |
ISSN: | 1432-1084 0938-7994 |
Popis: | Asthma is a heterogeneous disease with diverse clinical phenotypes that have been identified via cluster analyses. However, the classification of phenotypes based on quantitative CT (qCT) is poorly understood. The study was conducted to investigate CT determination of uncontrolled asthma phenotypes. Sixty-five patients with uncontrolled asthma (37 with severe asthma, 28 with non-severe asthma) underwent detailed clinical, laboratory, and pulmonary function tests, as well as qCT analysis. Twenty-five healthy subjects were also included in this study and underwent clinical physical examinations, pulmonary function tests, and low-dose CT scans. The mean lumen area/body surface area ratio was smaller in patients with severe uncontrolled asthma compared with that in healthy subjects (9.84 mm2 [SD, 2.57 mm2], 11.96 mm2 [SD, 3.09 mm2]; p = 0.026). However, the percentage of mean wall area (WA) was greater (64.39% [SD, 2.55%], 62.09% [SD, 3.81%], p = 0.011). Air trapping (measured based on mean lung density and VI−856 [%] on expiratory scan) was greater in patients with severe uncontrolled asthma than in those with non-severe uncontrolled asthma and was higher in all patients with uncontrolled asthma than that in healthy subjects (all p |
Databáze: | OpenAIRE |
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