Evidence map›Paper›PMID 37816923›Full record

ArticleEuropean radiology2024

Fat-containing hepatocellular carcinoma in patients with cirrhosis: proposal of a diagnostic modification regarding enhancement characteristics.

Anaïs Delagnes, Marine Roux, Valérie Vilgrain, Boris Guiu, Valérie Laurent, Olivier Sutter, Ivan Bricault, Hervé Trillaud, Christophe Aubé, Anita Paisant

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Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 2 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

10 authors at 8 institutions in 1 country.

Anaïs DelagnesDepartment of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France. anais.delagnes@chu-angers.fr.ORCID http://orcid.org/0000-0002-9621-5174
Marine RouxHIFIH Laboratory, EA 3859, UNIV Angers, 49045, Angers, France.
Valérie VilgrainDepartment of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, France.
Boris GuiuDepartment of Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, Montpellier, France.
Valérie LaurentDepartment of Radiology, Nancy University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France.
Olivier SutterDepartment of Radiology, Avicenne Hospital, Paris-Seine-Saint-Denis University Hospitals, Assistance-Publique Hôpitaux de Paris, 93000, Bobigny, France.
Ivan BricaultLaboratory of Techniques for Biomedical Engineering and Complexity Management, University Grenoble Alpes, National Center for Scientific Research, Grenoble, France.
Hervé TrillaudDepartment of Diagnostic and Interventional Radiology, University Hospital Bordeaux, 33600, Pessac, France.
Christophe AubéDepartment of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France.
Anita PaisantDepartment of Radiology, Angers University Hospital, 4 Rue Larrey, 49933, Angers, France.
Université d'Angers · FRCentre Hospitalier Universitaire d'Angers · FRCentre Hospitalier Universitaire de Montpellier · FRInserm · FRUniversité de Bordeaux · FRUniversité de Lorraine · FRUniversité Grenoble Alpes · FRUniversité Sorbonne Paris Nord · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to develop and validate an algorithm for the non-invasive diagnosis of these fat-containing HCCs.

methodsEighty-four cirrhotic patients with 77 fat-containing HCCs and 11 non-HCC fat-containing nodules were retrospectively included. All MRIs were reviewed; nodule characteristics, European Association for the Study of the Liver (EASL) and LI-RADS classifications, and survival were collected. One of the major features of LI-RADS v2018 (non-rim-like arterial phase hyperenhancement [APHE]) was changed to include different enhancing patterns at arterial phase and a new fat-LI-RADS algorithm was created for fat-containing nodules in cirrhosis. Its diagnostic performance was evaluated in both a derivation and external validation cohort (external cohort including 58 fat-containing HCCs and 10 non-HCC fat nodules). Reproducibility of this new algorithm was assessed.

resultsIn the derivation cohort, 54/77 (70.1%) fat-containing HCCs had APHE, 62/77 (80.5%) had enhancement compared to the nodule itself at arterial phase (APE), 43/77 (55.8%) had washout, and 20/77 (26.0%) had an enhancing capsule. EASL and LI-RADS had a sensitivity of 37.7% (29/77) and 36.4% (28/77), respectively, for the diagnosis of fat-containing HCC and both had a specificity of 100% (11/11). The new fat-LI-RADS algorithm increased sensitivity to 50.6% (39/77) without decreasing the specificity of 100% (11/11). The validation cohort confirmed the increased sensitivity, with a slight decrease in specificity. The concordance for the diagnosis of HCC for fat-LR5 was 85.3% (58/68).

conclusionThe new fat-LI-RADS algorithm proposed here significantly improves the performance of the non-invasive diagnosis of fat-containing HCC and thus could reduce the number of biopsies conducted for fat-containing HCCs. CLINICAL RELEVANCE STATEMENT: The European Association for the Study of the Liver and LI-RADS guidelines are poorly sensitive for the diagnosis of fat-containing HCC, mainly because of the low rate of arterial phase hyperenhancement (APHE) displayed by fat-containing HCC. Using all types of enhancement instead of APHE improves sensitivity of LI-RADS. KEY POINTS: • Fat-containing HCCs on MRI account for 7.5% of HCCs and have different imaging characteristics from non-fatty HCCs. • The European Association for the Study of the Liver and LI-RADS algorithms for the non-invasive diagnosis of HCC have low sensitivity for the diagnosis of fat-containing HCC with MRI (37.7% and 36.4%, respectively). • The new fat-LI-RADS, which includes a slight modification of the "arterial enhancement" criterion, improves the sensitivity for the diagnosis of fat-containing HCC using MRI, without degrading the specificity.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsContrast MediaHumansLiver CirrhosisMagnetic Resonance ImagingReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast MediaCarcinoma, hepatocellularFattyLiver cirrhosisLiver neoplasmsMagnetic resonance imaging

Identifiers

PMID37816923
OpenAlexW4387516122

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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.