Evidence map›Paper›PMID 39434582›Full record

ArticleJournal of magnetic resonance imaging : JMRI2025

Quantifying Spatial Distribution of Ventilation Defects in Multiple Pulmonary Diseases With Hyperpolarized

Abdullah S Bdaiwi, Matthew M Willmering, Jason C Woods, Laura L Walkup, Zackary I Cleveland

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Abdullah S BdaiwiCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0001-7835-7032
Matthew M WillmeringCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0002-4356-9622
Jason C WoodsCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0002-8080-7511
Laura L WalkupCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0002-5060-6401
Zackary I ClevelandCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0001-6195-9061

Funding

UTE MRI to monitor CF lung disease and response to CFTR modulation in young childrenR01HL131012 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI Raouf S. Amin, JASON C WOODS · 2016 to 2026
$6.8M
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
A Phase III Trial to Validate HP 129Xe MRI as a Functional Pulmonary Biomarker in Pediatric Lung DiseaseR44HL123299 · NHLBI · POLAREAN, INC. · PI EMAMI, KIARASH · 2017 to 2019
$3.0M
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
Time-Resolved 129Xe Ventilation-Perfusion MRI in Models of Acute Lung InjuryR00HL111217 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CLEVELAND, ZACKARY I · 2015 to 2017
$728k
Cystic Fibrosis Foundation CLEVEL16A0National Organization for Rare Disorders 20003NHLBI NIH HHS R00 HL111217NHLBI NIH HHS R01 HL126771NHLBI NIH HHS R01 HL131012NHLBI NIH HHS R01 HL143011NHLBI NIH HHS R01 HL151588NHLBI NIH HHS R01 HL166335NHLBI NIH HHS R44 HL123299NIH National Institutes of Health 2R01HL126771NIH National Institutes of Health R00HL111217NIH National Institutes of Health R01HL131012NIH National Institutes of Health R01HL143011NIH National Institutes of Health R01HL151588NIH National Institutes of Health R01HL166335NIH National Institutes of Health R44HL123299University of Cincinnati Cancer Center
6 · The paper itself

Abstract

backgroundHyperpolarized PURPOSE: To quantify spatial distribution of STUDY TYPE: Retrospective. SUBJECTS: Four hundred twenty-one subjects (age = 23.1 ± 17.1, female = 230), comprising healthy controls (N = 60) and subjects with obstructive conditions (asthma [N = 25], bronchiolitis obliterans syndrome [BOS, N = 18], cystic fibrosis [CF, N = 90], lymphangioleiomyomatosis [LAM, N = 50]), restrictive conditions (bleomycin-treated cancer survivors [BLEO, N = 14]; fibrotic lung diseases [FLD, N = 92]), bone marrow transplantation (BMT, N = 53), and bronchopulmonary dysplasia (BPD, N = 19). FIELD STRENGTH/SEQUENCE: 3 T, two-dimensional multi-slice gradient echo. ASSESSMENT: Whole-lung mean DDI was extracted from DDI maps; correlated with VDP (percent of pixels <60% of whole-lung mean signal intensity) and pulmonary function tests (PFTs) including FEV STATISTICAL TESTS: Pearson correlation analysis and Kruskal-Wallis tests. P < 0.0056 for disease groups, P < 0.0125 for categories.

resultsDDI was significantly elevated in BMT (8.3 ± 11.5), BOS (30.1 ± 57.5), BPD (16.0 ± 46.8), CF (15.4 ± 27.2), and LAM (12.6 ± 34.2) compared to controls (1.8 ± 3.1). DDI correlated significantly with VDP in all groups (r ≥ 0.56) except BLEO, and with PFTs in CF, FLD, and LAM (r ≥ 0.56). Obstructive groups had significantly higher mean DDI (14.0 ± 32.0) than controls (1.8 ± 3.0) and restrictive groups (4.0 ± 12.0). DDI/VDP was significantly lower in the restrictive group (0.6 ± 0.6) than controls (0.8 ± 0.6) and obstructive group (1.0 ± 1.0). DATA

conclusionDDI may provide insights into the distribution of ventilation defects across diseases. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.

Indexed as

LungLung DiseasesMagnetic Resonance ImagingXenon IsotopesAdolescentAdultFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedPulmonary VentilationRetrospective StudiesYoung AdultXenon-129Xenon Isotopes129Xe ventilation defectshyperpolarized 129Xespatial distributionventilation analysis

Identifiers

PMID39434582
PMCPMC11896935

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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.