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DOI 10.1080/02770903.2025.2460549

Медицинская библиотека · The Journal of asthma : official journal of the Association for the Care of Asthma · 2025

Computed tomography in severe asthma assessment: a systematic review.

Luzzi Simona, Pianigiani Tommaso, Dilroba Akter, Meocci Martina, Salvadori Elisa, Picchi Benedetta, Ventura Vittoria, Croce Sara, Bergantini Laura, D'Alessandro Miriana, Bargagli Elena, Cameli Paolo

СтатьяСистематический обзорПеревод в очереди

Аннотация

OBJECTIVE

Chest computed tomography (CT) is usually performed in patients with severe asthma (SA) to exclude concomitant conditions related to poor clinical control. Despite the growing evidence regarding the utility of CT in the characterization of morphological abnormalities and airway remodeling, its role in SA assessment is still largely unexplored. The aim of our systematic review was to evaluate published data investigating the role of chest CT in patients with SA.

DATA SOURCES: The systematic search was conducted on the Medline database through the Pubmed search engine.

STUDY SELECTIONS: A total of 53 studies has been included.

RESULTS

Quantitative CT (qCT) parameters generally differ between SA patients compared to mild to moderate asthmatic patients or healthy controls and are related to functional decline. CT parameters allow to identify image-based clusters reflecting remodeling patterns and/or air trapping features. The detection of mucus plugs is more frequent in severe eosinophilic asthma, and it is related to marked airway obstruction and ventilation defects. Benralizumab treatment appears to reduce or vanish mucus plugging. Most studies regarding CT and bronchial thermoplasty (BT) detect the usefulness of this investigation in predicting treatment response. Lastly, conflicting results surround the relation between chest CT and SA assessment in children due to also the scarcity of studies focusing on pediatric population.

CONCLUSIONS

The role of CT scans in SA is still debated. Most studies focus on the identification of CT-derived disease clusters while studies primarily evaluating the predicting role of CT scan to different biologics are lacking and could represent an interesting research area.

Для цитирования: Luzzi Simona, Pianigiani Tommaso, Dilroba Akter, Meocci Martina, Salvadori Elisa, Picchi Benedetta, Ventura Vittoria, Croce Sara, Bergantini Laura, D'Alessandro Miriana, Bargagli Elena, Cameli Paolo. Computed tomography in severe asthma assessment: a systematic review.. The Journal of asthma : official journal of the Association for the Care of Asthma. 2025. DOI: 10.1080/02770903.2025.2460549.

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