ArticleInvestigative radiology2013
Quantitative and semiquantitative measures of regional pulmonary microvascular perfusion by magnetic resonance imaging and their relationships to global lung perfusion and lung diffusing capacity: the multiethnic study of atherosclerosis chronic obstructive pulmonary disease study.
Article in Investigative radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04512521 (FUNLUM), which is not on this map. Cited by 30 papers.
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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.
FUNLUM: Functional Lung MRI for Early Treatment Response Assessment and Outcome Prediction for Patients With Severe Eosinophilic Asthma on Anti IL 5 Antibody Therapy
Who cites it
30 citing papers in PubMed, 56 citations in OpenAlex.
- Dynamic contrast enhanced MRI for the evaluation of lung perfusion in idiopathic pulmonary fibrosis.The European respiratory journal · 2022Trial
- Effect of indacaterol/glycopyrronium on ventilation and perfusion in COPD: a randomized trial.Respiratory research · 2022Trial
- A longitudinal study of quantitative pulmonary dynamic contrast enhanced MRI following COVID-19 infection.Respiratory research · 2026Article
- Functional Pulmonary Imaging.Journal of magnetic resonance imaging : JMRI · 2025Review
- GOLD grade-specific characterization of COPD in the COSYCONET multi-center trial: comparison of semiquantitative MRI and quantitative CT.European radiology · 2025Article
- Platelet activation and COPD-related clinical and imaging characteristics: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study.Respiratory medicine · 2025Article
- Peripheral Blood Mononuclear Cell Gene Expression Associated with Pulmonary Microvascular Perfusion: The Multi-Ethnic Study of Atherosclerosis Chronic Obstructive Pulmonary Disease.Annals of the American Thoracic Society · 2024Article
- A review of cardio-pulmonary microvascular dysfunction in pulmonary hypertension.American heart journal plus : cardiology research and practice · 2023Article
- Acute and Chronic Cardiopulmonary Effects of High Dose Interleukin-2 Therapy: An Observational Magnetic Resonance Imaging Study.Diagnostics (Basel, Switzerland) · 2022Article
- Cardiac involvement in cystic fibrosis evaluated using cardiopulmonary magnetic resonance.The international journal of cardiovascular imaging · 2022Article
- State-of-the-art MR Imaging for Thoracic Diseases.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Review
- Unsupervised clustering algorithms improve the reproducibility of dynamic contrast-enhanced magnetic resonance imaging pulmonary perfusion quantification in muco-obstructive lung diseases.Frontiers in medicine · 2022Article
- Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times.BMC medical imaging · 2021Article
- Myocardial involvement in eosinophilic granulomatosis with polyangiitis evaluated with cardiopulmonary magnetic resonance.The international journal of cardiovascular imaging · 2021Article
- From Early Morphometrics to Machine Learning-What Future for Cardiovascular Imaging of the Pulmonary Circulation?Diagnostics (Basel, Switzerland) · 2020Review
- Prediction of pulmonary function after major lung resection using lung perfusion scintigraphy with single-photon emission computed tomography/computed tomography.Fujita medical journal · 2020Article
- Advanced imaging in pulmonary hypertension: emerging techniques and applications.The international journal of cardiovascular imaging · 2019Review
- Design and application of an MR reference phantom for multicentre lung imaging trials.PloS one · 2018Article
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Corrections and comments
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Authors and funding
14 authors at 7 institutions in 2 countries.
Funding
Abstract
objectivesThe aim of this study was to evaluate the quantitative and semiquantitative measures of regional pulmonary parenchymal perfusion in patients with chronic obstructive pulmonary disease (COPD) in relationship to global lung perfusion (GLP) and lung diffusing capacity (DLCO). MATERIALS AND
methodsA total of 143 participants in the Multiethnic Study of Atherosclerosis COPD Study were examined by dynamic contrast-enhanced pulmonary perfusion magnetic resonance imaging (MRI) at 1.5 T. Pulmonary microvascular blood flow (PBF) was calculated on a pixel-by-pixel basis by using a dual-bolus technique and the Fermi function model. Semiquantitative parameters for regional pulmonary microvascular perfusion were calculated from signal intensity-time curves in the lung parenchyma. Intraoberserver and interobserver coefficients of variation (CVs) and correlations between quantitative and semiquantitative MRI parameters and with GLP and DLCO were determined.
resultsQuantitative and semiquantitative parameters of pulmonary microvascular perfusion were reproducible, with CVs for all parameters of less than 10%. Furthermore, these MRI parameters were correlated with GLP and DLCO, and there was good agreement between PBF and GLP. Quantitative and semiquantitative MRI parameters were closely correlated (eg, r = 0.86 for maximum signal increase with PBF). In participants without COPD, the physiological distribution of pulmonary perfusion could be determined by regional MRI measurements.
conclusionRegional pulmonary microvascular perfusion can reliably be quantified from dynamic contrast-enhanced MRI. Magnetic resonance imaging-derived quantitative and semiquantitative perfusion measures correlate with GLP and DLCO.
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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.