ArticleThorax2017
Biomechanical CT metrics are associated with patient outcomes in COPD.
Article in Thorax, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00608764 (Genetic Epidemiology of Chronic Obstructive Pulmonary Disease), which is not on this map. Cited by 33 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene)
Who cites it
33 citing papers in PubMed, 54 citations in OpenAlex.
- Chest CT imaging toward personalized management of chronic obstructive pulmonary disease, asthma, and bronchiectasis: pulmonologist perspectives.Japanese journal of radiology · 2026Review
- Seeing is believing-on the utility of CT in phenotyping chronic obstructive pulmonary disease.The British journal of radiology · 2026Review
- Parameter response mapping does not enhance the correlations of conventional CT quantitative metrics with lung function and subjective symptoms in chronic obstructive pulmonary disease.Quantitative imaging in medicine and surgery · 2026Article
- Strain analysis based on dynamic ventilation computed tomography in fibrotic interstitial lung disease and its correlation with pulmonary function tests.Quantitative imaging in medicine and surgery · 2026Article
- Impulse oscillometry with quantitative computed tomography provides additional clinical information beyond spirometry in chronic airflow obstruction: a pilot study.Frontiers in physiology · 2026Article
- Pulmonary Biomechanics in COPD: Imaging Techniques and Clinical Applications.Journal of biomechanical engineering · 2025Review
- 4D-CT strain analysis for biomechanical characterization of COPD in patients undergoing radiotherapy planning: an exploratory study.Frontiers in medicine · 2025Article
- CT strain metrics allow for earlier diagnosis of bronchiolitis obliterans syndrome after hematopoietic cell transplant.Blood advances · 2024Article
- LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation.IEEE transactions on medical imaging · 2024Article
- Observational
- Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network.Medical physics · 2023Article
- Causes of and Clinical Features Associated with Death in Tobacco Cigarette Users by Lung Function Impairment.American journal of respiratory and critical care medicine · 2023Article
- Morphometric analysis of airways in pre-COPD and mild COPD lungs using continuous surface representations of the bronchial lumen.Frontiers in bioengineering and biotechnology · 2023Article
- Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS.Journal of imaging · 2022Article
- Treatment Trials in Young Patients with Chronic Obstructive Pulmonary Disease and Pre-Chronic Obstructive Pulmonary Disease Patients: Time to Move Forward.American journal of respiratory and critical care medicine · 2022Review
- Updated Perspectives on the Role of Biomechanics in COPD: Considerations for the Clinician.International journal of chronic obstructive pulmonary disease · 2022Review
- Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT.International journal of chronic obstructive pulmonary disease · 2022Article
- Computed Tomography Registration-Derived Regional Ventilation Indices Compared to Global Lung Function Parameters in Patients With COPD.Frontiers in physiology · 2022Article
- Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3.The Journal of allergy and clinical immunology · 2021Article
- Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care.Radiology · 2021Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundTraditional metrics of lung disease such as those derived from spirometry and static single-volume CT images are used to explain respiratory morbidity in patients with COPD, but are insufficient. We hypothesised that the mean Jacobian determinant, a measure of local lung expansion and contraction with respiration, would contribute independently to clinically relevant functional outcomes.
methodsWe applied image registration techniques to paired inspiratory-expiratory CT scans and derived the Jacobian determinant of the deformation field between the two lung volumes to map local volume change with respiration. We analysed 490 participants with COPD with multivariable regression models to assess strengths of association between traditional CT metrics of disease and the Jacobian determinant with respiratory morbidity including dyspnoea (modified Medical Research Council), St Georges Respiratory Questionnaire (SGRQ) score, 6-min walk distance (6MWD) and the Body Mass Index, Airflow Obstruction, Dyspnoea and Exercise Capacity (BODE) index, as well as all-cause mortality.
resultsThe Jacobian determinant was significantly associated with SGRQ (adjusted regression coefficient β=-11.75,95% CI -21.6 to -1.7; p=0.020), and with 6MWD (β=321.15, 95% CI 134.1 to 508.1; p<0.001), independent of age, sex, race, body mass index, FEV
conclusionsBiomechanical metrics representing local lung expansion and contraction improve prediction of respiratory morbidity and mortality and offer additional prognostic information beyond traditional measures of lung function and static single-volume CT metrics. TRIAL REGISTRATION NUMBER: NCT00608764; Post-results.
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Registered trials
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.