Evidence map›Paper›PMID 37288601›Full record

ArticleMagnetic resonance in medicine2023

Dynamic lung water MRI during exercise stress.

Felicia Seemann, Ahsan Javed, Jaffar M Khan, Christopher G Bruce, Rachel Chae, Dursun Korel Yildirim, Amanda Potersnak, Haiyan Wang, Scott Baute, Rajiv Ramasawmy and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Characterizing extravascular lung water-A dual-contrast agent extracellular volume approach by cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Felicia SeemannCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-3074-5380
Ahsan JavedCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-1311-1247
Jaffar M KhanCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Christopher G BruceCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-7442-4303
Rachel ChaeCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Dursun Korel YildirimCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-1145-939X
Amanda PotersnakCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Haiyan WangCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Scott BauteCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Rajiv RamasawmyCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Robert J LedermanCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Adrienne E Campbell-WashburnCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-7169-5693
National Institutes of Health · US

Funding

Real-time cardiovascular MRI and co-registration technical developmentZIAHL006039 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEDERMAN, ROBERT J · 2010 to 2024
$10.3M
Development of high-performance low field MRI technology ZIAHL006257 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAMPBELL-WASHBURN, ADRIENNE · 2021 to 2025
$8.1M
Innovative Technology for MRI Guided ProceduresZIAHL006213 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAMPBELL-WASHBURN, ADRIENNE · 2016 to 2025
$5.4M
Intramural NIH HHS ZIA HL006039Intramural NIH HHS ZIA HL006213Intramural NIH HHS ZIA HL006257NHLBI NIH HHS Z01-HL006039NHLBI NIH HHS Z01-HL006213NHLBI NIH HHS Z01-HL006257
6 · The paper itself

Abstract

purposeExercise-induced dyspnea caused by lung water is an early heart failure symptom. Dynamic lung water quantification during exercise is therefore of interest to detect early stage disease. This study developed a time-resolved 3D MRI method to quantify transient lung water dynamics during rest and exercise stress.

methodsThe method was evaluated in 15 healthy subjects and 2 patients with heart failure imaged in transitions between rest and exercise, and in a porcine model of dynamic extravascular lung water accumulation through mitral regurgitation (n = 5). Time-resolved images were acquired at 0.55T using a continuous 3D stack-of-spirals proton density weighted sequence with 3.5 mm isotropic resolution, and derived using a motion corrected sliding-window reconstruction with 90-s temporal resolution in 20-s increments. A supine MRI-compatible pedal ergometer was used for exercise. Global and regional lung water density (LWD) and percent change in LWD (ΔLWD) were automatically quantified.

resultsA ΔLWD increase of 3.3 ± 1.5% was achieved in the animals. Healthy subjects developed a ΔLWD of 7.8 ± 5.0% during moderate exercise, peaked at 16 ± 6.8% during vigorous exercise, and remained unchanged over 10 min at rest (-1.4 ± 3.5%, p = 0.18). Regional LWD were higher posteriorly compared the anterior lungs (rest: 33 ± 3.7% vs 20 ± 3.1%, p < 0.0001; peak exercise: 36 ± 5.5% vs 25 ± 4.6%, p < 0.0001). Accumulation rates were slower in patients than healthy subjects (2.0 ± 0.1%/min vs 2.6 ± 0.9%/min, respectively), whereas LWD were similar at rest (28 ± 10% and 28 ± 2.9%) and peak exercise (ΔLWD 17 ± 10% vs 16 ± 6.8%).

conclusionLung water dynamics can be quantified during exercise using continuous 3D MRI and a sliding-window image reconstruction.

Indexed as

Heart FailureMagnetic Resonance ImagingAnimalsExercise TestLungSwinedynamic lung imagingexercise MRIheart failurelow-field MRIlung water

Identifiers

PMID37288601
PMCPMC10521349
OpenAlexW4379768129

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.