ArticleCanadian respiratory journal2018
Time to Exhale: Additional Value of Expiratory Chest CT in Chronic Obstructive Pulmonary Disease.
Article in Canadian respiratory journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03581110 (CODP Imaging From a Dose Perspective - Effective Organ Doses of a Combined Inspiration-expiration Protocol on a 3rd Generation Dual-source CT), which is not on this map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
CODP Imaging From a Dose Perspective - Effective Organ Doses of a Combined Inspiration-expiration Protocol on a 3rd Generation Dual-source CT
Who cites it
14 citing papers in PubMed.
- Investigation into the utility of ultra-high-resolution mode on dynamic-ventilation computed tomography using sponge phantoms.Scientific reports · 2025Article
- Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning.Radiology. Cardiothoracic imaging · 2024Observational
- Detection of chronic obstructive pulmonary disease with deep learning using inspiratory and expiratory chest computed tomography and clinical information.Journal of thoracic disease · 2024Article
- Lung vessel connectivity map as anatomical prior knowledge for deep learning-based lung lobe segmentation.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Improving asthma outcomes: Clinicians' perspectives on peripheral airways.The journal of allergy and clinical immunology. Global · 2024Article
- Clinical evaluation of pulmonary quantitative computed tomography parameters for diagnosing eosinophilic chronic obstructive pulmonary disease: Characteristics and diagnostic performance.Health science reports · 2024Article
- Comparison of lung volumes measured with computed tomography and whole-body plethysmography - a systematic review.European clinical respiratory journal · 2024Review
- Quantitative analysis of changes in lung density by dynamic chest radiography in association with CT values: a virtual imaging study and initial clinical corroboration.Radiological physics and technology · 2022Article
- A pilot study: Quantify lung volume and emphysema extent directly from two-dimensional scout images.Medical physics · 2021Article
- Computed tomography based measurements to evaluate lung density and lung growth after congenital diaphragmatic hernia.Scientific reports · 2021Article
- Potential Value of Expiratory CT in Quantitative Assessment of Pulmonary Vessels in COPD.Frontiers in medicine · 2021Article
- COPD Imaging on a 3rd Generation Dual-Source CT: Acquisition of Paired Inspiratory-Expiratory Chest Scans at an Overall Reduced Radiation Risk.Diagnostics (Basel, Switzerland) · 2020Article
- From infancy to adulthood-Developmental changes in pulmonary quantitative computed tomography parameters.PloS one · 2020Article
- Predicting Pulmonary Function Testing from Quantified Computed Tomography Using Machine Learning Algorithms in Patients with COPD.Diagnostics (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Diagnostic guidelines for chronic obstructive pulmonary disease (COPD) are based on spirometry and clinical criteria. However, this does not address the pathophysiological complexity of the disease sufficiently. Until now, inspiratory chest computed tomography (CT) has been considered as the preferred imaging method in these patients. We hypothesized that expiratory CT may be superior to demonstrate pathophysiological changes. The aim of this prospective study was to systematically compare lung function tests with quantified CT parameters in inspiration and expiration. Materials and Methods: Forty-six patients with diagnosed COPD underwent spirometry, body plethysmography, and dose-optimized CT in maximal inspiration and expiration. Four quantified CT parameters were acquired in inspiration, expiration, and their calculated delta values. These parameters were correlated with seven established lung function parameters. Results: For inspiratory scans, a weak-to-moderate correlation with the lung function parameters was found. These correlations significantly improved when adding the expiratory scan ( Conclusions: Expiratory quantified CT and calculated delta values significantly improve the correlation with lung function parameters. Thus, an additional expiratory CT may improve image-based phenotyping of patients with COPD.
Indexed as
Identifiers
What OpenQuestion holds
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.