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We develop a lung ventilation model based on a continuum poroelastic representation of lung parenchyma that is strongly coupled to a pipe network representation of the airway tree. The continuous system of equations is discretized using a low-order stabilised finite element method. The framework is applied to a realistic lung anatomical model derived from computed tomography data and an artificially generated airway tree to model the conducting airway region. Numerical simulations produce physiologically realistic solutions and demonstrate the effect of airway constriction and reduced tissue elasticity on ventilation, tissue stress and alveolar pressure distribution. The key advantage of the model is the ability to provide insight into the mutual dependence between ventilation and deformation. This is essential when studying lung diseases, such as chronic obstructive pulmonary disease and pulmonary fibrosis. Thus the model can be used to form a better understanding of integrated lung mechanics in both the healthy and diseased states. Copyright © 2015 John Wiley & Sons, Ltd.
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http://dx.doi.org/10.1002/cnm.2731 | DOI Listing |
Comput Methods Programs Biomed
September 2025
School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, China. Electronic address:
Background And Objective: The quantitative knowledge of the influence of the small airway disease on the functional changes in chronic obstructive pulmonary disease (COPD) patients has been severely limited.
Methods: This study presents an innovative patient-specific computational framework that integrates CT and OCT imaging data with multiscale computational fluid dynamics (CFD) analysis. A three-dimensional tracheobronchial tree is reconstructed from CT scans of a mild COPD patient, spanning from the central airway to the 4th generation bronchial bifurcations.
J Pediatr Surg
September 2025
Hospital de Clínicas de Porto Alegre (HCPA), Rua Ramiro Barcelos, 2350, Santa Cecília, 90035-003, Porto Alegre, Rs, Brazil; Universidade Federal do Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos, 2400, Santa Cecília, 90035-003, Porto Alegre, RS, Brazil.
Background: Obstructions of the tracheobronchial tree can result from various etiologies. Most cases of tracheal stenosis or tracheomalacia are associated with patient-specific anatomical and functional abnormalities, making treatment challenging. Despite progress in the development of tracheal support devices, the optimal or near-optimal stent design remains elusive.
View Article and Find Full Text PDFBMC Infect Dis
August 2025
Internal Medicine Department I, University Hospital Schleswig Holstein Campus Kiel, Arnold-Heller-Straße 3, Kiel, 24105, Germany.
Purpose: 'Post-COVID Syndrome' (PCS), which encompasses the multifaceted sequelae of COVID-19, can be severity-graded by a previously defined score encompassing 12 different long-term symptom complexes. The PCS score was shown to have two main predictors, namely acute COVID-19 severity and individual resilience. The purpose of the present study was to verify these predictors and to assess their detailed relationship to the symptom complexes constituting the PCS score.
View Article and Find Full Text PDFRom J Morphol Embryol
August 2025
Department of Neurology, University of Medicine and Pharmacy of Craiova, Romania;
Coronavirus disease 2029 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which enters the human body via the respiratory route and can infect nasal and bronchial epithelial cells, goblet cells, hair cells, pneumocytes, etc. COVID-19 caused the worst pandemic in centuries. SARS-CoV-2, once in the airway tree, penetrates the host cells and causes a strong inflammatory reaction by a rapid response of the innate immune system, in particular by activation of macrophages and dendritic cells that recognize the virus component proteins as non-self.
View Article and Find Full Text PDFRadiol Med
August 2025
Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China.
Background: Preserved ratio impaired spirometry (PRISm) and chronic obstructive pulmonary disease (COPD) are progressive respiratory disorders associated with accelerated pulmonary function decline and systemic comorbidities. This multicenter study aimed to develop a three-category classification model that integrates clinical variables with thoracic computed tomography (CT) radiomics to distinguish normal pulmonary function, PRISm, and COPD.
Methods: A total of 1018 participants from three centers (A, B, C) who underwent chest CT and pulmonary function tests (PFTs) within a 2-week interval were retrospectively analyzed.