ArticleAcademic radiology2016
CT-derived Biomechanical Metrics Improve Agreement Between Spirometry and Emphysema.
Article in Academic radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Chest CT imaging toward personalized management of chronic obstructive pulmonary disease, asthma, and bronchiectasis: pulmonologist perspectives.Japanese journal of radiology · 2026Review
- Impulse oscillometry with quantitative computed tomography provides additional clinical information beyond spirometry in chronic airflow obstruction: a pilot study.Frontiers in physiology · 2026Article
- Rationale and Design of the Alpha-1 Biomarkers Consortium Study.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2025Article
- Prognostic value of functional CT imaging in COVID-ARDS: a two-centre prospective observational study.Respiratory research · 2025Observational
- Lung functional imaging.Breathe (Sheffield, England) · 2023Article
- Role of lung lobar sliding on parenchymal distortion during breathing.Journal of applied physiology (Bethesda, Md. : 1985) · 2023Article
- Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network.Medical physics · 2023Article
- Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS.Journal of imaging · 2022Article
- Updated Perspectives on the Role of Biomechanics in COPD: Considerations for the Clinician.International journal of chronic obstructive pulmonary disease · 2022Review
- CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping.International journal of chronic obstructive pulmonary disease · 2022Review
- A High-Throughput System for Cyclic Stretching of Precision-Cut Lung Slices During Acute Cigarette Smoke Extract Exposure.Frontiers in physiology · 2020Article
- Feasibility of deriving a novel imaging biomarker based on patient-specific lung elasticity for characterizing the degree of COPD in lung SBRT patients.The British journal of radiology · 2019Article
- Imaging Advances in Chronic Obstructive Pulmonary Disease. Insights from the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) Study.American journal of respiratory and critical care medicine · 2019Review
- CT Imaging-Based Low-Attenuation Super Clusters in Three Dimensions and the Progression of Emphysema.Chest · 2019Observational
- New Spirometry Indices for Detecting Mild Airflow Obstruction.Scientific reports · 2018Article
- Recent Advances in Computed Tomography Imaging in Chronic Obstructive Pulmonary Disease.Annals of the American Thoracic Society · 2018Review
- Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications.The British journal of radiology · 2018Review
- Article
- A 4DCT imaging-based breathing lung model with relative hysteresis.Journal of computational physics · 2016Article
- Computed Tomography Image Matching in Chronic Obstructive Pulmonary Disease.Critical reviews in biomedical engineering · 2016Article
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9 authors.
Funding
Abstract
RATIONALE AND
objectivesMany patients with chronic obstructive pulmonary disease (COPD) have marked discordance between forced expiratory volume in 1 second (FEV1) and degree of emphysema on computed tomography (CT). Biomechanical differences between these patients have not been studied. We aimed to identify reasons for the discordance between CT and spirometry in some patients with COPD. MATERIALS AND
methodsSubjects with Global initiative for chronic Obstructive Lung Disease stages I-IV from a large multicenter study (The Genetic Epidemiology of COPD) were arranged by percentiles of %predicted FEV1 and emphysema on CT. Three categories were created using differences in percentiles: Catspir with predominant airflow obstruction/minimal emphysema, CatCT with predominant emphysema/minimal airflow obstruction, and Catmatched with matched FEV1 and emphysema. Image registration was used to derive Jacobian determinants, a measure of lung elasticity, anisotropy, and strain tensors, to assess biomechanical differences between groups. Regression models were created with the previously mentioned categories as outcome variable, adjusting for demographics, scanner type, quantitative CT-derived emphysema, gas trapping, and airway thickness (model 1), and after adding biomechanical CT metrics (model 2).
resultsJacobian determinants, anisotropy, and strain tensors were strongly associated with FEV1. With Catmatched as control, model 2 predicted Catspir and CatCT better than model 1 (Akaike information criterion 255.8 vs. 320.8). In addition to demographics, the strongest independent predictors of FEV1 were Jacobian mean (β = 1.60,95%confidence intervals [CI] = 1.16 to 1.98; P < 0.001), coefficient of variation (CV) of Jacobian (β = 1.45,95%CI = 0.86 to 2.03; P < 0.001), and CV of strain (β = 1.82,95%CI = 0.68 to 2.95; P = 0.001). CVs of Jacobian and strain are both potential markers of biomechanical lung heterogeneity.
conclusionsCT-derived measures of lung mechanics improve the link between quantitative CT and spirometry, offering the potential for new insights into the linkage between regional parenchymal destruction and global decrement in lung function in patients with COPD.
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