ArticleRespiratory research2019
Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD.
Article in Respiratory research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06533371 (Assessment of Pulmonary EmphySema), which is not on this map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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.
Assessment of Pulmonary EmphySema: the Clinical -ULtrasonographic APproach to chronIc Obstructive Pulmonary Disease
Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic value of computed tomography-based pulmonary artery to aorta ratio measurement in chronic obstructive pulmonary disease with pulmonary hypertension: A systematic review and meta-analysis.The clinical respiratory journal · 2022Pooled it
- CT radiomics-based long-term survival prediction for locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy using features from tumor and tumor organismal environment.Radiation oncology (London, England) · 2022Trial
- Automated computed tomography quantification of fibrosis predicts prognosis in combined pulmonary fibrosis and emphysema in a real-world setting: a single-centre, retrospective study.Respiratory research · 2020Trial
- Emphysema Severity Index: a new spirometric parameter in epidemiology.ERJ open research · 2026Article
- Seeing is believing-on the utility of CT in phenotyping chronic obstructive pulmonary disease.The British journal of radiology · 2026Review
- Development and validation of a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary abnormality risk in an asymptomatic screening population.World journal of radiology · 2026Article
- Thoracic myosteatosis and adipose tissue in COPD: associations of muscle quality and CT biomarkers with GOLD classification.BMC pulmonary medicine · 2026Observational
- Interpretable Diagnosis of Pulmonary Emphysema on Low-Dose CT Using ResNet Embeddings.Journal of imaging · 2026Article
- A Prognostic Nomogram Combining Radiologic Emphysema and Clinical Parameters in Small Cell Lung Cancer.Cancer management and research · 2026Article
- Quantifying Spatial Distribution of Ventilation Defects in Multiple Pulmonary Diseases With HyperpolarizedJournal of magnetic resonance imaging : JMRI · 2025Article
- What is worth measuring in patients with COPD?Multidisciplinary respiratory medicine · 2025Article
- The textures of sarcoidosis: quantifying lung disease through variograms.Physics in medicine and biology · 2025Article
- Machine learning and magnetic resonance image texture analysis predicts accelerated lung function decline in ex-smokers with and without chronic obstructive pulmonary disease.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- The textures of sarcoidosis: quantifying lung disease through variograms.medRxiv : the preprint server for health sciences · 2024Article
- Article
- Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease.Respiratory research · 2024Article
- CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD.Military Medical Research · 2024Article
- Development of machine learning model to predict pulmonary function with low-dose CT-derived parameter response mapping in a community-based chest screening cohort.Journal of applied clinical medical physics · 2023Article
- Manual aspiration of a pneumothorax after CT-guided lung biopsy: outcomes and risk factors.The British journal of radiology · 2023Article
- How Accurate Is the Diagnosis of "Chronic Obstructive Pulmonary Disease" in Patients Hospitalized with an Acute Exacerbation?Medicina (Kaunas, Lithuania) · 2023Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundThe mechanisms underlying airflow obstruction in COPD cannot be distinguished by standard spirometry. We ascertain whether mathematical modeling of airway biomechanical properties, as assessed from spirometry, could provide estimates of emphysema presence and severity, as quantified by computed tomography (CT) metrics and CT-based radiomics.
methodsWe quantified presence and severity of emphysema by standard CT metrics (VIDA) and co-registration analysis (ImbioLDA) of inspiratory-expiratory CT in 194 COPD patients who underwent pulmonary function testing. According to percentages of low attenuation area below - 950 Hounsfield Units (%LAA
resultsESI mean values and pulmonary function data differed significantly in the subgroups with different emphysema degree classified by VIDA, ImbioLDA and CALIPER (p < 0.001 by ANOVA). ESI differentiated NE from ME/SE CT-classified patients (sensitivity 0.80, specificity 0.85, AUC 0.86) and SE from ME CT-classified patients (sensitivity 0.82, specificity 0.87, AUC 0.88).
conclusionsPresence and severity of emphysema in patients with COPD, as quantified by CT metrics and radiomics can be estimated by mathematical modeling of airway function as derived from standard spirometry.
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