Evidence map›Paper›PMID 36038643›Full record

ArticleAbdominal radiology (New York)2022

Assessment of hepatic fibrosis and inflammation with look-locker T1 mapping and magnetic resonance elastography with histopathology as reference standard.

Sophie von Ulmenstein, Sanja Bogdanovic, Hanna Honcharova-Biletska, Sena Blümel, Ansgar R Deibel, Daniel Segna, Christoph Jüngst, Achim Weber, Thomas Kuntzen, Christoph Gubler and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% 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.

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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Sophie von UlmensteinDiagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Sanja BogdanovicDiagnostic Radiology, Balgrist University Hospital, Zurich, Switzerland.
Hanna Honcharova-BiletskaDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Sena BlümelDivision of Gastroenterology and Hepatology, University Hospital Zurich, Zurich, Switzerland.
Ansgar R DeibelDivision of Gastroenterology and Hepatology, University Hospital Zurich, Zurich, Switzerland.
Daniel SegnaDivision of Gastroenterology and Hepatology, University Hospital Zurich, Zurich, Switzerland.
Christoph JüngstDivision of Gastroenterology and Hepatology, University Hospital Zurich, Zurich, Switzerland.
Achim WeberDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Thomas KuntzenGastroenterology and Hepatology, Kantonsspital Aarau, Aarau, Switzerland.
Christoph GublerGastroenterology and Hepatology, Stadtspital Triemli, Zurich, Switzerland.
Cäcilia S ReinerDiagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. caecilia.reiner@usz.ch.ORCID 0000-0002-0902-192X
University Hospital of Zurich · CHKantonsspital Aarau · CHTriemli Hospital · CHUniversitätsklinik Balgrist · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the diagnostic performance of T1 mapping and MR elastography (MRE) for staging of hepatic fibrosis and grading inflammation with histopathology as standard of reference.

methods68 patients with various liver diseases undergoing liver biopsy for suspected fibrosis or with an established diagnosis of cirrhosis prospectively underwent look-locker inversion recovery T1 mapping and MRE. T1 relaxation time and liver stiffness (LS) were measured by two readers. Hepatic fibrosis and inflammation were histopathologically staged according to a standardized fibrosis (F0-F4) and inflammation (A0-A2) score. For statistical analysis, independent t test, and Mann-Whitney U test and ROC analysis were performed, the latter to determine the performance of T1 mapping and MRE for fibrosis staging and inflammation grading, as compared to histopathology.

resultsHistopathological analysis diagnosed 9 patients with F0 (13.2%), 21 with F1 (30.9%), 11 with F2 (16.2%), 10 with F3 (14.7%), and 17 with F4 (25.0%). Both T1 mapping and MRE showed significantly higher values for patients with significant fibrosis (F0-1 vs. F2-4; T1 mapping p < 0.0001, MRE p < 0.0001) as well as for patients with severe fibrosis or cirrhosis (F0-2 vs. F3-4; T1 mapping p < 0.0001, MRE p < 0.0001). T1 values and MRE LS were significantly higher in patients with inflammation (A0 vs. A1-2, both p = 0.01). T1 mapping showed a tendency toward lower diagnostic performance without statistical significance for significant fibrosis (F2-4) (AUC 0.79 vs. 0.91, p = 0.06) and with a significant difference compared to MRE for severe fibrosis (F3-4) (AUC 0.79 vs. 0.94, p = 0.03). For both T1 mapping and MRE, diagnostic performance for diagnosing hepatic inflammation (A1-2) was low (AUC 0.72 vs. 0.71, respectively).

conclusionT1 mapping is able to diagnose hepatic fibrosis, however, with a tendency toward lower diagnostic performance compared to MRE and thus may be used as an alternative to MRE for diagnosing hepatic fibrosis, whenever MRE is not available or likely to fail due to intrinsic factors of the patient. Both T1 mapping and MRE are probably not sufficient as standalone methods to diagnose hepatic inflammation with relatively low diagnostic accuracy.

Indexed as

Elasticity Imaging TechniquesFibrosisHumansInflammationLiverLiver CirrhosisMagnetic Resonance ImagingReference StandardsBiopsyFibrosisLiverMR elastographyT1 mapping

Identifiers

PMID36038643
PMCPMC9560941
OpenAlexW4293499259

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LicenceCC BY
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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.