Evaluation of the impact of cardiopulmonary rehabilitation exercise training on cardiopulmonary function in patients with chronic obstructive pulmonary disease complicated by unstable angina pectoris using a hierarchical deep learning CT image model
Year: 2026
Type: article
Study designs: Randomized Controlled Trial, Clinical Trial
Abstract: Objective This study aimed to quantitatively evaluate the impact of cardiopulmonary rehabilitation (CPR) exercise training on cardiopulmonary structure and function in patients with chronic obstructive pulmonary disease (COPD) complicated by unstable angina (UA) pectoris, based on a hierarchical deep learning (DL) CT image model. Methods This prospective randomized controlled trial enrolled 400 patients with COPD complicated by UA pectoris, stratified according to GOLD grades (I-IV), who were randomly allocated to an experimental group (EG, n = 200, receiving 12 weeks of standard CPR training) and a control group (CG, n = 200, receiving conventional care). A multi-task 3D U-Net + ResNet50 DL model was constructed to automatically quantify four categories of imaging biomarkers from chest high-resolution CT (HRCT) and coronary CT angiography images: lung parenchyma (percentage of low attenuation volume, LAV%, 15th percentile density Perc15, mean lung density, MLD), airways (percentage of airway wall thickness WA%, Pi10), pulmonary vasculature (percentage of blood vessels <5 mm in cross-sectional area BV%, vascular fractal dimension), and heart (coronary artery calcium score, CACS, left ventricular mass, LVM, ejection fraction, EF, stroke volume, SV). Concurrently, pulmonary function, cardiopulmonary exercise testing parameters, and 6-min walk distance (6MWD) were assessed at baseline, 6 weeks, and 12 weeks of the intervention. Results Versus CG, after 12 weeks of intervention, EG demonstrated notable imaging improvements across all GOLD grades: decreased LAV%, increased Perc15 and MLD; reduced WA% and Pi10; increased BV5% and vascular fractal dimension; improved EF and SV, and decreased LVM (all P < 0.05). Clinically, EG also showed substantially better FEV 1 , FVC, peak VO 2 , and 6MWD than CG ( P < 0.01). Correlation analysis revealed moderate to strong correlations between these imaging metrics and clinical functional parameters (| r | = 0.36–0.62, P < 0.001). The constructed DL model demonstrated excellent segmentation accuracy (Dice coefficient: 0.87–0.95) and quantification reliability in both internal and external validations. Conclusion CPR not only substantially improves clinical cardiopulmonary function but also induces beneficial structural remodeling of the lung parenchyma, airways, pulmonary vasculature, and heart in patients with COPD complicated by UA pectoris. The DL-based CT image quantification framework provides reliable imaging biomarkers for objectively evaluating rehabilitation efficacy in these comorbid patients, offering new evidence for personalized management of cardiopulmonary comorbidities.
Source: Frontiers in Physiology
Institution: Hainan Medical University
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7130336230