ReviewJournal of magnetic resonance imaging : JMRI2016
Pulmonary CT and MRI phenotypes that help explain chronic pulmonary obstruction disease pathophysiology and outcomes.
Review in Journal of magnetic resonance imaging : JMRI, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.
- From Gut to Lungs: The Hidden Respiratory Impacts of IBD: A Systematic Review of the Literature.International journal of molecular sciences · 2025Pooled it
- Airway fractal dimension predicts respiratory morbidity and mortality in COPD.The Journal of clinical investigation · 2018Trial
- Imaging Markers of Chronic Obstructive Pulmonary Disease on Computed Tomography of the Lungs: a Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Design and Implementation of a Multi-Center Trial ofJournal of magnetic resonance imaging : JMRI · 2025Article
- Area-Detector Computed Tomography for Pulmonary Functional Imaging.Diagnostics (Basel, Switzerland) · 2023Review
- Imaging-based assessment of lung function in a population cooking indoors with biomass fuel: a pilot study.Journal of applied physiology (Bethesda, Md. : 1985) · 2023Article
- Early Diagnosis of High-Risk Chronic Obstructive Pulmonary Disease Based on Quantitative High-Resolution Computed Tomography Measurements.International journal of chronic obstructive pulmonary disease · 2023Article
- Artificial intelligence in functional imaging of the lung.The British journal of radiology · 2022Review
- Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care.Radiology · 2021Review
- Article
- Imaging of COVID-19 pneumonia: Patterns, pathogenesis, and advances.The British journal of radiology · 2020Review
- Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.Investigative radiology · 2020Review
- Fractal Analysis of Lung Structure in Chronic Obstructive Pulmonary Disease.Frontiers in physiology · 2020Review
- Role of medical and molecular imaging in COPD.Clinical and translational medicine · 2019Review
- Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS).Respiratory research · 2018Article
- Emphysema and lung volume reduction: the role of radiology.Journal of thoracic disease · 2018Review
- At the Root: Defining and Halting Progression of Early Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2018Article
- Electromagnetic simulation of non-invasive approach for the diagnosis of diabetic foot ulcers.Journal of orthopaedics · 2018Article
- Development of a pulmonary imaging biomarker pipeline for phenotyping of chronic lung disease.Journal of medical imaging (Bellingham, Wash.) · 2018Article
- Recent Advances in Computed Tomography Imaging in Chronic Obstructive Pulmonary Disease.Annals of the American Thoracic Society · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
Abstract
Pulmonary x-ray computed tomographic (CT) and magnetic resonance imaging (MRI) research and development has been motivated, in part, by the quest to subphenotype common chronic lung diseases such as chronic obstructive pulmonary disease (COPD). For thoracic CT and MRI, the main COPD research tools, disease biomarkers are being validated that go beyond anatomy and structure to include pulmonary functional measurements such as regional ventilation, perfusion, and inflammation. In addition, there has also been a drive to improve spatial and contrast resolution while at the same time reducing or eliminating radiation exposure. Therefore, this review focuses on our evolving understanding of patient-relevant and clinically important COPD endpoints and how current and emerging MRI and CT tools and measurements may be exploited for their identification, quantification, and utilization. Since reviews of the imaging physics of pulmonary CT and MRI and reviews of other COPD imaging methods were previously published and well-summarized, we focus on the current clinical challenges in COPD and the potential of newly emerging MR and CT imaging measurements to address them. Here we summarize MRI and CT imaging methods and their clinical translation for generating reproducible and sensitive measurements of COPD related to pulmonary ventilation and perfusion as well as parenchyma morphology. The key clinical problems in COPD provide an important framework in which pulmonary imaging needs to rapidly move in order to address the staggering burden, costs, as well as the mortality and morbidity associated 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.