Evidence map›Paper›PMID 42007151›Full record

ArticleAmerican journal of translational research2026

Predictive value of quantitative CT-derived emphysema heterogeneity for outcomes following bronchoscopic lung volume reduction.

Wenjin Zhang, Sangjiecao Yang

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Article in American journal of translational research, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Wenjin ZhangDepartment of Pulmonology, Lanzhou Pulmonary Hospital Lanzhou 730046, Gansu, China.
Sangjiecao YangDepartment of Radiology, The No. 2 People's Hospital of Lanzhou Lanzhou 730030, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the predictive value of quantitative CT-derived emphysema heterogeneity for clinical response to bronchoscopic lung volume reduction (BLVR).

methodsThis retrospective study included 150 patients who underwent bronchoscopic lung volume reduction (BLVR) between January 2023 and November 2025, of whom 82 were responders and 68 were non-responders. The primary endpoint was the BLVR outcome at 6 months post-procedure, defined as a 15% improvement in forced expiratory volume in one second (FEV1) or a 450 mL improvement in target lobe volume. Secondary endpoints included changes in Chronic Obstructive Lung Disease Assessment Test score, modified Medical Research Council dyspnea score, carbon monoxide diffusion capacity (DLCO), and 6-minute walk test (6MWT). Quantitative CT measurements such as emphysema heterogeneity index (EHI), low attenuation area percentage (LAA%), lung fissure integrity, and air trapping heterogeneity were used as baseline lung structural pmeasures. Multivariate logistic regression analysis was used to identify independent predictors of treatment response.

resultsResponders exhibited significantly greater heterogeneity in emphysema: higher EHI, more significant differences in lobar destruction, and a higher proportion of heterogeneous voxels (all P<0.001). Structural parameters also differentiated responders, with responders showing more pronounced lobar volume asymmetry, higher target lobe destruction rate, and decreased vascular density (all P<0.001). Functional quantitative CT revealed markedly higher heterogeneity in air retention (P<0.001), more pronounced ventilation asymmetry (P<0.001), and larger gas retention clusters (all P<0.001) in responders. Responders also had more intact lung fissures and a lower probability of collateral ventilation (both P<0.001). Better preservation of airway morphology was observed, characterized by thinner airway walls (P<0.01), larger lumens (P<0.001), and a greater number of airways (P<0.001). Multivariate analysis showed that the EHI (OR 0.114, P<0.001), ≥90% integrity of the lung fissure (OR 0.888, P<0.001), and immediate target lobe volume reduction ≥700 mL (OR 0.106, P<0.001) were independent predictors of BLVR response.

conclusionQuantitative CT-derived assessment of emphysema heterogeneity provides a strong and clinically significant predictor of treatment response to bronchoscopic lung volume reduction.

Indexed as

bronchoscopic lung volume reductionemphysema heterogeneitypredictive valueQuantitative CTtreatment outcome

Identifiers

PMID42007151
PMCPMC13090912

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.