Evidence map›Paper›PMID 27551814›Full record

Observational studyAnnals of the American Thoracic Society2016

Ultrashort Echo-Time Magnetic Resonance Imaging Is a Sensitive Method for the Evaluation of Early Cystic Fibrosis Lung Disease.

David J Roach, Yannick Crémillieux, Robert J Fleck, Alan S Brody, Suraj D Serai, Rhonda D Szczesniak, Stephanie Kerlakian, John P Clancy, Jason C Woods

Registry-linked trialAbstract readComparative StudyObservational Study
In one paragraph

Observational study in Annals of the American Thoracic Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01832519 (MRI Predictors of Infection, Inflammation, and Structural Lung Damage in CF), which is not on this map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–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.

NCT01832519 completednot on this map

MRI Predictors of Infection, Inflammation, and Structural Lung Damage in CF (Cystic Fibrosis)

TypeobservationalSponsorChildren's Hospital Medical Center, CincinnatiRan2013 to 2017Enrolled20ConditionsCystic Fibrosis
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  11. Review
  12. Functional Pulmonary Imaging.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  13. Article
  14. Pulmonary MRI in Newborns and Children.Journal of magnetic resonance imaging : JMRI · 2025
    Review
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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

9 authors.

David J Roach1 Center for Pulmonary Imaging Research.
Yannick Crémillieux3 Centre de Résonance Magnétique des Systèmes Biologiques, Centre National de la Recherche Scientifique, Université de Bordeaux, Bordeaux, France.
Robert J Fleck4 Radiology Department, and.
Alan S Brody4 Radiology Department, and.
Suraj D Serai4 Radiology Department, and.
Rhonda D Szczesniak5 Biostatistics and Epidemiology Department, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; and.
Stephanie Kerlakian2 Division of Pulmonary Medicine.
John P Clancy2 Division of Pulmonary Medicine.
Jason C Woods1 Center for Pulmonary Imaging Research.

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
MR predictors of infection, inflammation, and structural lung damage in CFR01HL116226 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CLANCY, JOHN PAUL · 2012 to 2015
$2.1M
Ruth L. Kirschstein National Research Service Award Short-Term Institutional ReseT35HL113229 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI Raouf S. Amin, WILLIAM DAVID HARDIE · 2012 to 2026
$922k
NHLBI NIH HHS R01 HL116226NHLBI NIH HHS R01 HL131012NHLBI NIH HHS T35 HL113229
6 · The paper itself

Abstract

rationaleRecent advancements that have been made in magnetic resonance imaging (MRI) improve our ability to assess pulmonary structure and function in patients with cystic fibrosis (CF). A nonionizing imaging modality that can be used as a serial monitoring tool throughout life can positively affect patient care and outcomes.

objectivesTo compare an ultrashort echo-time MRI method with computed tomography (CT) as a biomarker of lung structure abnormalities in young children with early CF lung disease.

methodsEleven patients with CF (mean age, 31.8 ± 5.7 mo; median age, 33 mo; 7 male and 4 female) were imaged via CT and ultrashort echo-time MRI. Eleven healthy age-matched patients (mean age, 22.5 ± 10.2 mo; median age, 23 mo; 5 male and 6 female) were imaged via ultrashort echo-time MRI. CT scans of 13 additional patients obtained for clinical indications not affecting the heart or lungs and interpreted as normal provided a CT control group (mean age, 24.1 ± 11.7 mo; median age, 24 mo; 6 male and 7 female). Studies were scored by two experienced radiologists using a well-validated CF-specific scoring system for CF lung disease. MEASUREMENTS AND MAIN

resultsCorrelations between CT and ultrashort echo-time MRI scores of patients with CF were very strong, with P values ≤0.001 for bronchiectasis (r = 0.96) and overall score (r = 0.90), and moderately strong for bronchial wall thickening (r = 0.62, P = 0.043). MRI easily differentiated CF and control groups via a reader CF-specific scoring system.

conclusionsUltrashort echo-time MRI detected structural lung disease in very young patients with CF and provided imaging data that correlated well with CT. By quantifying early CF lung disease without using ionizing radiation, ultrashort echo-time MRI appears well suited for pediatric patients requiring longitudinal imaging for clinical care or research studies. Clinical Trial registered with www.clinicaltrials.gov (NCT01832519).

Indexed as

BronchiectasisChild, PreschoolFemaleFranceHumansInfantLinear ModelsLungLung DiseasesMagnetic Resonance ImagingMaleProspective StudiesSensitivity and SpecificityTomography, X-Ray Computedcystic fibrosislungmagnetic resonance imagingultrashort echo-time

Identifiers

PMID27551814
PMCPMC5122478

What OpenQuestion holds

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Registered trials

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.