Evidence map›Paper›PMID 22020423›Full record

ArticleLa Radiologia medica2012

MR-diffusion imaging in assessing chronic liver diseases: does a clinical role exist?

F Pasquinelli, G Belli, L N Mazzoni, F Regini, C Nardi, L Grazioli, A L Zignego, A Linda Zignego, S Colagrande

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In one paragraph

Article in La Radiologia medica, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

  • Erratum issued
    Zignego, A Linda [corrected to Zignego, A L]
5 · Who and what money

Authors and funding

9 authors.

F PasquinelliDepartment of Clinical Physiopathology, Section of Radiodiagnostics, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Viale Morgagni 85, 50134, Florence, Italy.
G Belli
L N Mazzoni
F Regini
C Nardi
L Grazioli
A L Zignego
A Linda Zignego
S Colagrande

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was done to evaluate whether and which of the magnetic resonance diffusion-weighted imaging (MR-DWI) parameters - apparent diffusion coefficient (ADC), diffusion (D) or perfusion fraction (f) - correlates with the degree of chronic liver disease progression. MATERIALS AND

methodsTwenty-eight patients were evaluated with abdominal MR-DWI from March to November 2010: seven healthy volunteers, seven patients with chronic liver disease F0-F2 (METAVIR score), seven F3-F4 Child-Pugh A, and seven F4 Child-Pugh BC, classified as groups 1-4, respectively. DWI acquisitions were performed during breath-holding (b = 0-150 s/mm(2) and 1,000) and free breathing (multi-b = 0-200-400-600-800-1,000 s/mm(2)). Using a double-blind control procedure, two observers estimated ADC, D, and f by applying a region of interest (ROI) in 4/12 sections in the middle-lower portion of the right hepatic lobe. Statistical analysis was done with analysis of variance (ANOVA).

resultsA reduction in the mean value of f, ADC(150) and, to a lesser extent, ADC(1,000) is shown to progress from healthy volunteers (group 1) to cirrhosis patients (group 4), with wide overlap among groups. There were no statistically significant changes of D.

conclusionsOur results indicate that stratifying patients with chronic liver disease for clinical purposes cannot be done with DWI. However, there is a tendency among groups for reduced perfusion-related parameters as chronic liver disease progresses.

Indexed as

AdultAgedAnalysis of VarianceCase-Control StudiesChronic DiseaseDiffusion Magnetic Resonance ImagingDisease ProgressionFemaleHumansLiver CirrhosisLiver DiseasesMaleMiddle AgedPhantoms, Imaging

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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.