首页> 外文期刊>The Journal of Allergy and Clinical Immunology >Quantitative computed tomographic imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes
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Quantitative computed tomographic imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes

机译:基于定量的计算断层摄影成像的聚类将哮喘亚组与独特的临床表型区分开来

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摘要

Background: Imaging variables, including airway diameter, wall thickness, and air trapping, have been found to be important metrics when differentiating patients with severe asthma from those with nonsevere asthma and healthy subjects.
机译:背景:已经发现成像变量,包括气道直径,壁厚和空气捕获,当区分具有非哮喘和健康受试者的患者的患者时成为重要的指标。

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