Evidence map›Paper›PMID 24158528›Full record

Trial reportEuropean radiology2014

Non-invasive evaluation of liver fibrosis: a comparison of ultrasound-based transient elastography and MR elastography in patients with viral hepatitis B and C.

Anneloes E Bohte, Annikki de Niet, Louis Jansen, Shandra Bipat, Aart J Nederveen, Joanne Verheij, Valeska Terpstra, Ralph Sinkus, Karin M J van Nieuwkerk, Rob J de Knegt and 4 more

Registry-linked trialAbstract readClinical TrialComparative Study
PubMed Publisher
In one paragraph

Trial report in European radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03293953 (Prospective Comparison Between Transient Elastography), which is not on this map. Cited by 52 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 8 pooled it
7.5field-weighted citation impact, top 2% 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.

NCT03293953 unknown statusnot on this mapstarted 2017, after this paper: background citation

Prospective Comparison Between Transient Elastography (TE), Shear Wave Elastography (SWE) and Magnetic Resonance Elastography (MRE) for Non-invasive Assessment of Liver Fibrosis in Patients Affected by Chronic Viral Hepatitis

TypeobservationalSponsorEnte Ospedaliero Ospedali GallieraRan2017 to 2018Enrolled100ConditionsLiver Fibrosis
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 8 syntheses or guidelines pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Diagnostic performance of magnetic resonance elastography in staging liver fibrosis: a systematic review and meta-analysis of individual participant data.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2015
    Pooled it
  9. Trial
  10. Article
  11. Article
  12. Diagnosis, clinical assessment, and staging of hepatocellular carcinoma: a Brazilian multidisciplinary consensus.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

14 authors at 5 institutions in 2 countries.

Anneloes E BohteDepartment of Radiology, Academic Medical Center, Amsterdam, The Netherlands, a.e.bohte@amc.nl.
Annikki de Niet
Louis Jansen
Shandra Bipat
Aart J Nederveen
Joanne Verheij
Valeska Terpstra
Ralph Sinkus
Karin M J van Nieuwkerk
Rob J de Knegt
Bert C Baak
Peter L M Jansen
Henk W Reesink
Jaap Stoker
Academic Medical Center · NLBronovo Hospital · NLErasmus MC · NLOLVG · NLUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the diagnostic accuracy of TE and MRE and establish cutoff levels and diagnostic strategies for both techniques, enabling selection of patients for liver biopsy.

methodsOne hundred three patients with chronic hepatitis B or C and liver biopsy were prospectively included. Areas under curves (AUROC) were compared for TE and MRE for METAVIR fibrosis grade ≥ F2 and ≥F3. We defined cutoff values for selection of patients with F0-F1 (sensitivity >95%) and for significant fibrosis F2-F4 (specificity >95%).

resultsFollowing exclusions, 85 patients were analysed (65 CHB, 19 CHC, 1 co-infected). Fibrosis stages were F0 (n = 3), F1 (n = 53), F2 (n = 15), F3 (n = 8) and F4 (n = 6). TE and MRE accuracy were comparable [AUROCTE ≥ F2: 0.914 (95% CI: 0.857-0.972) vs. AUROCMRE ≥ F2: 0.909 (0.840-0.977), P = 0.89; AUROCTE ≥ F3: 0.895 (0.816-0.974) vs. AUROCMRE ≥ F3: 0.928 (0.874-0.982), P = 0.42]. Cutoff values of <5.2 and ≥8.9 kPa (TE) and <1.66 and ≥2.18 kPa (MRE) diagnosed 64% and 66% of patients correctly as F0-F1 or F2-F4. A conditional strategy in inconclusive test results increased diagnostic yield to 80%.

conclusionTE and MRE have comparable accuracy for detecting significant fibrosis, which was reliably detected or excluded in two-thirds of patients. A conditional strategy further increased diagnostic yield to 80%. KEY POINTS: • Both ultrasound-based transient elastography and magnetic resonance elastography can assess hepatic fibrosis. • Both have comparable accuracy for detecting liver fibrosis in viral hepatitis. • The individual techniques reliably detect or exclude significant liver fibrosis in 66 %. • A conditional strategy for inconclusive findings increases the number of correct diagnoses.

Indexed as

AdultArea Under CurveBiopsyElasticity Imaging TechniquesFemaleHepatitis B, ChronicHepatitis C, ChronicHumansLiver CirrhosisMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesROC CurveSensitivity and SpecificityYoung Adult

Identifiers

PMID24158528
OpenAlexW1968441132

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.