Evidence map›Paper›PMID 39825520›Full record

ArticleMagnetic resonance in medicine2025

Quantifying spatial and dynamic lung abnormalities with 3D PREFUL FLORET UTE imaging: A feasibility study.

Filip Klimeš, Joseph W Plummer, Matthew M Willmering, Alexander M Matheson, Abdullah S Bdaiwi, Marcel Gutberlet, Andreas Voskrebenzev, Marius M Wernz, Frank Wacker, Jason Woods and 3 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Functional Pulmonary Imaging.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  9. Article
  10. Article
  11. 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

13 authors.

Filip KlimešInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.ORCID 0000-0003-2715-0757
Joseph W PlummerCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0002-0200-7869
Matthew M WillmeringCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0002-4356-9622
Alexander M MathesonCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0002-6022-9507
Abdullah S BdaiwiCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0001-7835-7032
Marcel GutberletInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Andreas VoskrebenzevInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.ORCID 0000-0001-5699-1841
Marius M WernzInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Frank WackerInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Jason WoodsCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Zackary I ClevelandCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0001-6195-9061
Laura L WalkupCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Jens Vogel-ClaussenInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.

Funding

Using MRI To Visualize Regional Therapy Response In Idiopathic Pulmonary FibrosisR01HL126771 · NHLBI · DUKE UNIVERSITY · PI Bastiaan Driehuys · 2015 to 2026
$6.6M
Imaging and Molecular Phenotyping of Cystic Fibrosis Lung DiseaseR01HL151588 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CLEVELAND, ZACKARY I, ZIADY, ASSEM G · 2021 to 2025
$3.9M
Validating Quantitative Magnetic Resonance Imaging Biomarkers of Idiopathic Pulmonary FibrosisR01HL143011 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CLEVELAND, ZACKARY I · 2019 to 2023
$3.7M
Early detection of pulmonary complications of hematopoietic stem-cell transplantation in children using hyperpolarized xenon MRIR01HL166335 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI Laura Lee Walkup · 2023 to 2026
$2.7M
Cincinnati Children's Research Foundation 20003Deutsches Zentrum für LungenforschungNHLBI NIH HHS 2R01HL126771NHLBI NIH HHS R01 HL126771NHLBI NIH HHS R01 HL143011NHLBI NIH HHS R01HL143011NHLBI NIH HHS R01 HL151588NHLBI NIH HHS R01HL151588NHLBI NIH HHS R01 HL166335NHLBI NIH HHS R01HL166335University of Cincinnati D700169
6 · The paper itself

Abstract

purposePulmonary MRI faces challenges due to low proton density, rapid transverse magnetization decay, and cardiac and respiratory motion. The fermat-looped orthogonally encoded trajectories (FLORET) sequence addresses these issues with high sampling efficiency, strong signal, and motion robustness, but has not yet been applied to phase-resolved functional lung (PREFUL) MRI-a contrast-free method for assessing pulmonary ventilation during free breathing. This study aims to develop a reconstruction pipeline for FLORET UTE, enhancing spatial resolution for three-dimensional (3D) PREFUL ventilation analysis.

methodsThe FLORET sequence was used to continuously acquire data over 7 ± 2 min in 36 participants, including healthy subjects (N = 7) and patients with various pulmonary conditions (N = 29). Data were reconstructed into respiratory images using motion-compensated low-rank reconstruction, and a 3D PREFUL algorithm was adapted to quantify static and dynamic ventilation surrogates. Image sharpness and signal-to-noise ratio were evaluated across different motion states. PREFUL ventilation metrics were compared with static

resultsOptimal image sharpness and accurate ventilation dynamics were achieved using 24 respiratory bins, leading to their use in the study. A strong correlation was found between 3D PREFUL FLORET UTE ventilation defect percentages (VDPs) and

conclusionThe proposed reconstruction pipeline for FLORET UTE MRI offers improved spatial resolution and strong correlation with

Indexed as

Imaging, Three-DimensionalLungLung DiseasesMagnetic Resonance ImagingAdultAgedAlgorithmsFeasibility StudiesFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleMiddle AgedRespirationSignal-To-Noise RatioFLOREThyperpolarized 129Xe MRIlung MRImotion compensationPREFULUTEventilation imaging

Identifiers

PMID39825520
PMCPMC11893037

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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.