ArticleEuropean heart journal. Imaging methods and practice2024
Lung water density is increased in patients at risk of heart failure and is largely independent of conventional cardiovascular magnetic resonance measures.
Article in European heart journal. Imaging methods and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- 3D Cartesian ultrashort double half-echo imaging of the lung parenchyma for water density imaging.Magnetic resonance in medicine · 2026Article
- MRI Assessment of Lung Water Density in Individuals Previously Infected With COVID-19: A Cross-Sectional Study.Journal of magnetic resonance imaging : JMRI · 2025Article
- Mechano-electrical-fluid interaction left-ventricle model for numerical evaluation of aortic valve hemodynamics.Frontiers in bioengineering and biotechnology · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: Non-invasive methods to quantify pulmonary congestion are lacking in clinical practice. Cardiovascular magnetic resonance (CMR) lung water density (LWD) mapping is accurate and reproducible and has prognostic value. However, it is not known whether LWD is associated with routinely acquired CMR parameters. Methods and results: This was an observational cohort including healthy controls and patients at risk of heart failure. LWD was measured using CMR with a free-breathing short echo time 3D Cartesian gradient-echo sequence with a respiratory navigator at 1.5 T. Associations were assessed between LWD, lung water volume and cardiac volumes, left ventricular (LV) mass and function, myocardial native T1, and extracellular volume fraction. In patients at risk for heart failure ( Conclusion: LWD is increased in patients at risk for heart failure compared with controls and is only weakly explained by conventional CMR measures. LWD provides diagnostic information that is largely independent of conventional CMR measures.
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Registered trials
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