Evidence map›Paper›PMID 37500799›Full record

Trial reportPediatric radiology2023

Prospective study of quantitative liver MRI in cystic fibrosis: feasibility and comparison to PUSH cohort ultrasound.

Alexander J Towbin, Wen Ye, Suiyuan Huang, Boaz W Karmazyn, Jean P Molleston, Prakash Masand, Daniel H Leung, Samuel Chang, Michael R Narkewicz, Adina L Alazraki and 8 more

Registry-linked trialAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02979340 (Analysis of Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 29% 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.

NCT02979340 completednot on this map

Analysis of Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis (PUSH) Cohort Using Advanced MRI to Characterize and Predict CF Liver Disease

TypeobservationalSponsorNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)Ran2017 to 2019Enrolled115ConditionsCystic Fibrosis Liver Disease, Pancreatic InsufficiencyArmsMRI
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

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

18 authors at 10 institutions in 1 country.

Alexander J TowbinDepartment of Radiology, Cincinnati Children's Hospital, 3333 Burnet Avenue, MLC 5031, Cincinnati, OH, 45229, USA. Alexander.towbin@cchmc.org.ORCID 0000-0003-1729-5071
Wen YeDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Suiyuan HuangDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Boaz W KarmazynPediatric Radiology, Riley Hospital for Children at IU Health, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0003-1674-1789
Jean P MollestonPediatric Gastroenterology, Hepatology and Nutrition, Riley Hospital for Children at IU Health, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0002-8708-0298
Prakash MasandDivision of Radiology, Texas Children's Hospital, Houston, TX, USA.
Daniel H LeungDivision of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Texas Children's, Baylor College of Medicine, Houston, TX, USA.
Samuel ChangDepartment of Radiology, Banner MD Anderson Cancer Center, Gilbert, AZ, USA.
Michael R NarkewiczDigestive Health Institute, Children's Hospital Colorado and Section of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
Adina L AlazrakiDepartment of Radiology, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, GA, USA.ORCID 0000-0003-1094-282X
A Jay FreemanDivision of Pediatric Gastroenterology, Hepatology and Nutrition, Nationwide Children's Hospital, Columbus, OH, USA.ORCID 0000-0002-3399-3390
Randolph K OttoDepartment of Radiology, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.ORCID 0000-0003-1273-7176
Nicole GreenDivision of Gastroenterology and Hepatology, University of Washington and Seattle Children's Hospital, Seattle, WA, USA.
Ihab R KamelDepartment of Radiology, John Hopkins School of Medicine, Baltimore, MD, USA.
Wikrom W KarnsakulDivision of Pediatric Gastroenterology, Hepatology and Nutrition, John Hopkins School of Medicine, Baltimore, MD, USA.ORCID 0000-0001-7288-5459
John C MageeDepartment of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0001-8416-7905
Jean TkachDepartment of Radiology, Cincinnati Children's Hospital, 3333 Burnet Avenue, MLC 5031, Cincinnati, OH, 45229, USA.ORCID 0000-0003-4593-7481
Joseph J PalermoDivision of Pediatric, Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Cincinnati Children's Hospital Medical Center · USUniversity of Michigan · USIndiana University Health · USSeattle Children's Hospital · USBaylor College of Medicine · USChildren's Hospital Colorado · USEmory University · USNationwide Children's Hospital · USTexas Children's Hospital · USThe University of Texas MD Anderson Cancer Center · US

Funding

NIDDK NIH HHS NCT02979340
6 · The paper itself

Abstract

backgroundPediatric radiologists can identify a liver ultrasound (US) pattern predictive of progression to advanced liver disease. However, reliably discriminating these US patterns remains difficult. Quantitative magnetic resonance imaging (MRI) may provide an objective measure of liver disease in cystic fibrosis (CF).

objectiveThe purpose of this study was to determine if quantitative MRI, including MR elastography, is feasible in children with CF and to determine how quantitative MRI-derived metrics compared to a research US. MATERIALS AND

methodsA prospective, multi-institutional trial was performed evaluating CF participants who underwent a standardized MRI. At central review, liver stiffness, fat fraction, liver volume, and spleen volume were obtained. Participants whose MRI was performed within 1 year of US were classified by US pattern as normal, homogeneous hyperechoic, heterogeneous, or nodular. Each MRI measure was compared among US grade groups using the Kruskal-Wallis test.

resultsNinety-three participants (51 females [54.8%]; mean 15.6 years [range 8.1-21.7 years]) underwent MRI. MR elastography was feasible in 87 participants (93.5%). Fifty-eight participants had an US within 1 year of MRI. In these participants, a nodular liver had significantly higher stiffness (P<0.01) than normal or homogeneous hyperechoic livers. Participants with a homogeneous hyperechoic liver had a higher fat fraction (P<0.005) than others.

conclusionMR elastography is feasible in children with CF. Participants with a nodular pattern had higher liver stiffness supporting the US determination of advanced liver disease. Participants with a homogeneous hyperechoic pattern had higher fat fractions supporting the diagnosis of steatosis.

Indexed as

Cystic FibrosisElasticity Imaging TechniquesLiver DiseasesChildFeasibility StudiesFemaleHumansLiverLiver CirrhosisMagnetic Resonance ImagingProspective StudiesCystic fibrosisCystic fibrosis liver diseaseMRI elastographyQuantitative imaging

Identifiers

PMID37500799
OpenAlexW4385296692

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.