Evidence map›Paper›PMID 41241146›Full record

ArticleChest2026

Structural and Functional Pulmonary MRI to Predict Pulmonary Exacerbations in Cystic Fibrosis.

Alexander M Matheson, Abdullah S Bdaiwi, Matthew M Willmering, Mark W DiFrancesco, Zackary I Cleveland, Giles E Santyr, Felix Ratjen, Elizabeth L Kramer, Rhonda D Szczesniak, Jason C Woods

Abstract read
In one paragraph

Article in Chest, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Alexander M MathesonCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Abdullah S BdaiwiCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Matthew M WillmeringCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Mark W DiFrancescoDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH.
Zackary I ClevelandCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Giles E SantyrTranslational Medicine Program, Toronto, ON, Canada.
Felix RatjenTranslational Medicine Program, Toronto, ON, Canada; Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada.
Elizabeth L KramerDivision of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Rhonda D SzczesniakDivision of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Jason C WoodsCenter for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH. Electronic address: Jason.Woods@cchmc.org.

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
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
NHLBI NIH HHS R01 HL131012NHLBI NIH HHS R01 HL151588
6 · The paper itself

Abstract

backgroundPulmonary exacerbations (PExs) are associated with lung function decline and poor quality of life in people with cystic fibrosis (CF). Standard clinical measurements are limited in predicting future PEx events; pulmonary MRI scan has been shown to be a sensitive measure of CF lung disease, but its ability to predict PExs is currently unknown. RESEARCH QUESTION: Are people with worse structural lung MRI scores and xenon MRI ventilation defects at greater risk of PExs, and are these measurements associated with future PExs? STUDY DESIGN AND

methodsWe retrospectively analyzed clinical, imaging, and spirometry data collected from 106 patients with CF 6 to 45 years of age including ultrashort echo time (UTE) MRI scan and

resultsPatients who experienced PEx within 2 years after MRI scan had greater VDP, and VDP was higher in those with frequent exacerbations. People with abnormal VDP (> 3%) had a nearly 3 times (2.80; 95% CI, 1.6-4.56) greater PEx incidence rate. There were increased exacerbations among those with the most severe UTE MRI scores (fourth quartile) for consolidation, wall thickening, and bronchiectasis. Multivariable PEx prediction models that included imaging were stronger than those that included clinical information only, and VDP but not spirometry was a significant predictor in a model that controlled for prior exacerbations.

interpretationOur results show that structural and functional MRI measurements in people with CF were associated with future exacerbations, likely because they directly measure underlying structural and functional aspects of disease.

Indexed as

Cystic FibrosisLungMagnetic Resonance ImagingAdolescentAdultChildDisease ProgressionFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesSpirometryYoung Adultcystic fibrosisMRIpredictive modelingpulmonary exacerbation

Identifiers

PMID41241146
PMCPMC13084737

What OpenQuestion holds

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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.