Evidence map›Paper›PMID 41816051›Full record

ArticleQuantitative imaging in medicine and surgery2026

Impaired lung deformation during expiration in chronic obstructive pulmonary disease using four-dimensional dynamic-ventilation CT.

Yanyan Xu, Xiaoxia Ren, Tian Liang, Sheng Xie, Ting Yang, Yuwan Hu, Haoyu Li, Mansu Jin, Yinghao Xu

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Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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9 authors.

Yanyan XuDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-7065-5668
Xiaoxia RenNational Clinical Research Center for Respiratory Diseases, Beijing, China.
Tian LiangDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Sheng Xie *Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
Ting Yang *National Clinical Research Center for Respiratory Diseases, Beijing, China.
Yuwan HuDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Haoyu LiDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Mansu JinBeijing MicroVec. Inc., Beijing, China.
Yinghao XuCanon Medical Systems, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is characterized by progressive airflow limitation and heterogeneous parenchymal destruction. Spirometry, the clinical standard, assesses global function but cannot evaluate regional lung mechanics. Four-dimensional dynamic-ventilation computer tomography (4D-CT)-based strain analysis can quantify local parenchymal deformation, yet its behavior across the full spectrum of COPD severity-particularly during the entire expiration phase in advanced disease-remains poorly characterized. This study aimed to quantitatively evaluate lung deformation patterns across COPD severities, and investigate the potential value in characterizing of strain-related parameters in cases of severe airflow limitation. Methods: Sixty-one COPD patients who underwent spirometry and 4D-CT (three spatial dimensions plus time) were included in this study. Lung strain quantification utilized an adapted computational fluid dynamics (CFD) algorithm (MicroVec V3.6.2). Strain parameters derived from the expiration phase were adjusted for lung volume changes. Parameters from the whole expiration phase and the initial 2-s phase were compared among the Global Initiative for Chronic Obstructive Lung Disease (GOLD) I (mild), II (moderate), and III-IV (severe) airflow limitation groups using the Kruskal-Wallis nonparametric test. Correlations with the degree of airflow limitation were evaluated using Spearman analysis. Results: Strain parameters showed significant progressive declines with worsening GOLD stage (all P<0.05). Parameters from the whole expiration phase correlated more strongly with disease severity than those from the initial 2-s phase. Specifically, the maximum principal strain in the whole expiratory phase (P Conclusions: Decreased lung deformation during expiration was associated with loss of lung function. Strain-related parameters, especially those derived from the whole expiration phase, showed promising values in reflecting the severity of airflow limitation in patients with COPD.

Indexed as

airflow limitationchronic obstructive pulmonary disease (COPD)CTdynamic-ventilation computed tomography (dynamic-ventilation CT)Strain analysis

Identifiers

PMID41816051
PMCPMC12971332

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