ReviewChest2023
Lung Imaging in COPD Part 2: Emerging Concepts.
Review in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Treatment of chronic obstructive pulmonary disease: current pipeline and new opportunities.Nature reviews. Drug discovery · 2026Review
- Regional ventilation-perfusion changes after endobronchial valve therapy assessed by single-photon emission computed tomography in adults with severe COPD.Scientific reports · 2026Article
- Leveraging deep learning-based kernel conversion for more precise airway quantification on CT.European radiology · 2025Article
- Pulmonary Biomechanics in COPD: Imaging Techniques and Clinical Applications.Journal of biomechanical engineering · 2025Review
- Toward precision medicine in COPD: phenotypes, endotypes, biomarkers, and treatable traits.Respiratory research · 2025Review
- The Emerging Biomarkers in Chronic Obstructive Pulmonary Disease: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- X-ray velocimetry in dynamic imaging: a systematic overview of approaches.Polish journal of radiology · 2025Review
- Clinical and prognostic relevance ofJournal of feline medicine and surgery · 2024Article
- Low-Dose Whole-Chest Dynamic CT for the Assessment of Large Airway Collapsibility in Patients with Suspected Tracheobronchial Instability.Radiology. Cardiothoracic imaging · 2024Article
- Causal inference analysis of the radiologic progression in the chronic obstructive pulmonary disease.Scientific reports · 2024Article
- Exploring Molecular Mechanisms and Biomarkers in COPD: An Overview of Current Advancements and Perspectives.International journal of molecular sciences · 2024Review
- Repeatability of Pulmonary Quantitative Computed Tomography Measurements in Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2023Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors at 15 institutions in 6 countries.
Funding
Abstract
The diagnosis, prognostication, and differentiation of phenotypes of COPD can be facilitated by CT scan imaging of the chest. CT scan imaging of the chest is a prerequisite for lung volume reduction surgery and lung transplantation. Quantitative analysis can be used to evaluate extent of disease progression. Evolving imaging techniques include micro-CT scan, ultra-high-resolution and photon-counting CT scan imaging, and MRI. Potential advantages of these newer techniques include improved resolution, prediction of reversibility, and obviation of radiation exposure. This article discusses important emerging techniques in imaging patients with COPD. The clinical usefulness of these emerging techniques as they stand today are tabulated for the benefit of the practicing pulmonologist.
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.