Evidence map›Paper›PMID 30054796›Full record

Observational studyEuropean radiology2019

The Efficacy of MRI in the diagnostic workup of cystic fibrosis-associated liver disease: A clinical observational cohort study.

Sarah Poetter-Lang, Katharina Staufer, Pascal Baltzer, Dietmar Tamandl, Dina Muin, Nina Bastati, Emina Halilbasic, Jacqueline C Hodge, Michael Trauner, Lili Kazemi-Shirazi and 1 more

Abstract readObservational Study
In one paragraph

Observational study in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. MRI-defined sarcopenia predicts mortality in patients with chronic liver disease.Liver international : official journal of the International Association for the Study of the Liver · 2020
    Article
  6. Article
  7. Hepatic Manifestations of Cystic Fibrosis.Clinics in liver disease · 2019
    Review
  8. 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

11 authors.

Sarah Poetter-LangGeneral Hospital of Vienna (AKH), Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Katharina StauferDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, General Hospital of Vienna (AKH), Medical University of Vienna, Vienna, Austria.
Pascal BaltzerGeneral Hospital of Vienna (AKH), Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Dietmar TamandlGeneral Hospital of Vienna (AKH), Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Dina MuinGeneral Hospital of Vienna (AKH), Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Nina BastatiGeneral Hospital of Vienna (AKH), Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Emina HalilbasicDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, General Hospital of Vienna (AKH), Medical University of Vienna, Vienna, Austria.
Jacqueline C HodgeGeneral Hospital of Vienna (AKH), Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria.
Michael TraunerDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, General Hospital of Vienna (AKH), Medical University of Vienna, Vienna, Austria.
Lili Kazemi-ShiraziDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, General Hospital of Vienna (AKH), Medical University of Vienna, Vienna, Austria.
Ahmed Ba-SsalamahGeneral Hospital of Vienna (AKH), Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, A-1090, Vienna, Austria. ahmed.ba-ssalamah@meduniwien.ac.at.ORCID http://orcid.org/0000-0002-3527-404X

Funding

Supported by funds of the Austrian National Bank (Oesterreichische Nationalbank, Anniversary Fund) project number: AP15711ONB
6 · The paper itself

Abstract

purposeTo identify independent imaging features and establish a diagnostic algorithm for diagnosis of cystic fibrosis (CF)-associated liver disease (CFLD) in CF patients compared to controls using gadoxetic acid-enhanced MRI.

methodsA total of 90 adult patients were enrolled: 50 with CF, 40 controls. The CF group was composed of two subgroups: a retrospective test subgroup (n = 33) and a prospective validation subgroup (n = 17). Controls (patients with normal liver enzymes and only benign focal liver lesions) were divided accordingly (27:13). MRI variables, including quantitative and qualitative parameters, were used to distinguish CFLD from controls using clinical symptoms, laboratory tests and Debray criteria. Disease severity was classified according to Child-Pugh and Albumin-Bilirubin (ALBI) scores. Fifteen qualitative single-lesion CF descriptors were defined. Two readers independently evaluated the images. Univariate statistical analysis was performed to obtain significant imaging features that differentiate CF patients from controls. Through multivariate analysis using chi-squared automatic interaction detector (CHAID) methodology the most important descriptors were identified. Diagnostic performance was assessed by receiver-operating characteristic (ROC) analysis.

resultsThree independent imaging descriptors distinguished CFLD from controls: (1) presence of altered gallbladder morphology; (2) periportal tracking; and (3) periportal fat deposition. Prospective validation of the classification algorithm demonstrated a sensitivity of 94.1% and specificity of 84.6% for discriminating CFLD from controls. Disease severity was well associated with the imaging features.

conclusionsA short unenhanced MRI protocol can identify the three cardinal imaging features of CFLD. The hepatobiliary phase of gadoxetic acid-enhanced MRI can define CFLD progression. KEY POINTS: • Using a multivariate classification analysis, we identified three independent imaging features, altered gallbladder morphology (GBAM), periportal tracking (PPT) and periportal fat deposition (PPFD), that could diagnose CFLD with high sensitivity, 94.1 % (95% CI: 71.3-99.9) and moderate specificity, 84.6 % (95% CI: 54.6-98.1). • Based upon the results of this study, gadoxetic acid-enhanced MRI with DWI is able to diagnose early-stage CFLD, as well as its progression.

Indexed as

AdultAlgorithmsCohort StudiesCystic FibrosisFemaleGadolinium DTPAHumansLiver DiseasesMagnetic Resonance ImagingMaleMiddle AgedMultivariate AnalysisProspective StudiesRetrospective StudiesROC CurveSensitivity and SpecificityGadolinium DTPAgadolinium ethoxybenzyl DTPAChemical shift imagingCystic fibrosisGallbladderLiver diseasesMagnetic resonance imaging

Identifiers

PMID30054796
PMCPMC6302923

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.