ArticleInternational journal of chronic obstructive pulmonary disease2023
Early Diagnosis of High-Risk Chronic Obstructive Pulmonary Disease Based on Quantitative High-Resolution Computed Tomography Measurements.
Article in International journal of chronic obstructive pulmonary disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Chest CT in the evaluation of chronic obstructive pulmonary disease: recommendations of Asian Society of Thoracic Radiology.The British journal of radiology · 2026Guideline
- Breathing insights: Biomarkers as tools for chronic obstructive pulmonary disease assessment - A systematic review.Indian journal of pharmacology · 2026Pooled it
- Imaging Markers of Chronic Obstructive Pulmonary Disease on Computed Tomography of the Lungs: a Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Automated identification of chronic obstructive pulmonary disease and asthma using impulse oscillometry combined with quantitative computed tomography parameters and radiomics features.Journal of thoracic disease · 2026Article
- CT image-based machine learning models for predicting blood eosinophil levels in acute exacerbation of chronic obstructive pulmonary disease.BMC pulmonary medicine · 2026Article
- Nasal Microbiota Associated with the Lung Radiomic Features in Asthma.International journal of general medicine · 2026Article
- Article
- AutoCOPD-A novel and practical machine learning model for COPD detection using whole-lung inspiratory quantitative CT measurements: a retrospective, multicenter study.EClinicalMedicine · 2025Article
- Detection of Respiratory Disease Based on Surface-Enhanced Raman Scattering and Multivariate Analysis of Human Serum.Diagnostics (Basel, Switzerland) · 2025Article
- Quantitative Computed Tomography Biomarkers of Emphysema Severity in Chronic Obstructive Pulmonary Disease: Insights from Muscle Mass, Fat Volume, and Vascular Dimensions.Advanced biomedical research · 2025Article
- The severity assessment and nucleic acid turning-negative-time prediction in COVID-19 patients with COPD using a fused deep learning model.BMC pulmonary medicine · 2024Article
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5 authors.
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Abstract
Purpose: Quantitative computed tomography (QCT) techniques, focusing on airway anatomy and emphysema, may help to detect early structural changes of COPD disease. This retrospective study aims to identify high-risk COPD participants by using QCT measurements. Patients and Methods: We enrolled 140 participants from the Second Affiliated Hospital of Shenyang Medical College who completed inspiratory high-resolution CT scans, pulmonary function tests (PFTs), and clinical characteristics recorded. They were diagnosed Non-COPD by PFT value of FEV1/FVC >70% and divided into two groups according percentage predicted FEV1 (FEV1%), low-risk COPD group: FEV1% ≥ 95%, high-risk group: 80% < FEV1% < 95%. The QCT measurements were analyzed by the Student's Results: The SVM based on QCT measurements achieved good performance in identifying high-risk COPD patients with 85.71% of ACC, 88.34% of SEN, 84.00% of SPE, 83.33% of F1-score, and 0.93 of AUC. Further, QCT measurements integration of clinical data improved the performance with an ACC of 90.48%. The emphysema index (%LAA Conclusion: QCT measurements combined with clinical information could provide an effective tool for an early diagnosis of high-risk COPD. The QCT indexes can be used to assess the pulmonary function status of high-risk COPD.
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