Evidence map›Paper›PMID 41845315›Full record

ArticleBMC pulmonary medicine2026

Complementary assessment of cardiopulmonary morphometric changes in COPD using 3D multidetector computed tomography: relationship with functional indices.

Neslihan Köse Kabil, Esin Erbek, Güneş Bolatlı

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Article in BMC pulmonary medicine, 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Neslihan Köse KabilFaculty of Medicine, Department of Chest Diseases, Yalova University, Yalova, Turkey. neslihan.kabil@yalova.edu.tr.ORCID http://orcid.org/0000-0001-5241-4043
Esin ErbekFaculty of Medicine, Department of Anatomy, Yalova University, Yalova, Turkey.
Güneş BolatlıFaculty of Medicine, Department of Anatomy, Yalova University, Yalova, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to quantitatively evaluate the structural remodeling of cardiopulmonary tissues in Chronic Obstructive Pulmonary Disease (COPD) using three-dimensional multidetector computed tomography (3D-MDCT) and to investigate the relationship between these morphometric changes and functional disease severity across genders.

methodsA retrospective analysis was performed on 114 participants (58 stable COPD patients and 56 age-matched controls). Pulmonary function tests (PFT), Global Initiative for Chronic Obstructive Lung Disease (GOLD) staging, and clinical scores (CAT, mMRC) were recorded. Right/left lung volumes (RLV, LLV) and heart ventricular volumes (RV, LV) were measured via 3D-Slicer software. Major vascular diameters (VCS, VCI, PA) were assessed on axial CT sections.

resultsDistinct gender-related structural patterns were identified. Male COPD patients exhibited significantly higher right lung volumes compared to controls (p < 0.01), which showed a strong negative correlation with the Forced expiratory volume in 1 s/forced vital capacity (FEV1/FVC) ratio, indicating hyperinflation-driven remodeling. Conversely, male patients demonstrated significantly lower right heart ventricular volumes (RV) (p < 0.05), supporting the “pseudomicrocardia” effect where hyperinflation mechanically restricts cardiac filling. In female COPD patients, pulmonary artery (PA) diameters were higher than in controls, showing a borderline significant trend (p = 0.050), while total lung volume negatively correlated with Vena Cava Superior (VCS) diameter (p < 0.05). Across both genders, smoking pack-years were identified as a significant independent predictor of increased total lung volume (p < 0.05). Although morphometric parameters did not differ significantly across GOLD stages, RV volume was notably increased in the GOLD E subgroup, reflecting higher symptom burden.

conclusions3D-MDCT provides a quantitative and objective assessment of secondary cardiopulmonary structural changes that may accompany COPD. The study suggests a potential gender dimorphism in structural remodeling; while hyperinflation-related cardiac compression (pseudomicrocardia) appears more notable in males, vascular alteration trends seem more prominent in females. These morphometric insights may serve as a valuable complementary tool to spirometry, especially in monitoring disease progression and evaluating systemic structural effects in clinical practice.

Indexed as

Heart VentriclesLungMultidetector Computed TomographyPulmonary Disease, Chronic ObstructiveAgedCase-Control StudiesFemaleForced Expiratory VolumeHumansImaging, Three-DimensionalMaleMiddle AgedRespiratory Function TestsRetrospective StudiesSeverity of Illness IndexSex FactorsChronic Obstructive Pulmonary DiseaseGlobal Initiative for Chronic Obstructive Lung DiseasePulmonary HypertensionSpirometryThoracic Multidetector Computed Tomography

Identifiers

PMID41845315
PMCPMC13107621

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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 OpenQuestion graph.