Evidence map›Paper›PMID 33146794›Full record

ArticleEuropean radiology2021

Hepatospecific MR contrast agent uptake on hepatobiliary phase can be used as a biomarker of marked β-catenin activation in hepatocellular adenoma.

E Reizine, M Ronot, M Ghosn, J Calderaro, N Frulio, P Bioulac-Sage, H Trillaud, V Vilgrain, V Paradis, A Luciani

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Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  12. [Multidisciplinary experts consensus on diagnosis and treatment of precancerous lesions of hepatocellular carcinoma (2023 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
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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 4 institutions in 1 country.

E ReizineDepartment of Radiology, APHP, HU Henri Mondor, Créteil, Val-de-Marne, France. ereizine@gmail.com.ORCID http://orcid.org/0000-0002-6055-8191
M RonotDepartment of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
M GhosnDepartment of Radiology, APHP, HU Henri Mondor, Créteil, Val-de-Marne, France.
J CalderaroDepartment of Pathology, APHP, HU Henri Mondor, Créteil, Val-de-Marne, France.
N FrulioCHU Bordeaux Department of Diagnostic and Interventional Radiology, Université de Bordeaux, 33000, Bordeaux, France.
P Bioulac-SageInserm, UMR1053 Bordeaux Research in Translational Oncology, BaRITOn, Université de Bordeaux, 33076, Bordeaux, France.
H TrillaudDepartment of Pathology, Beaujon Hospital, APHP, Clichy, France.
V VilgrainDepartment of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
V ParadisINSERM U1149, centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France.
A LucianiDepartment of Radiology, APHP, HU Henri Mondor, Créteil, Val-de-Marne, France.
Inserm · FRUniversité de Bordeaux · FRHôpital Beaujon · FRHôpitaux Universitaires Henri-Mondor · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the value of hepatospecific MR contrast agent uptake on hepatobiliary phase (HBP) images to detect marked activation of the β-catenin pathway in hepatocellular adenomas (HCAs).

methodsThis multicentric retrospective IRB-approved study included all patients with a pathologically proven HCA who underwent gadobenate dimeglumine-enhanced liver MRI with HBP. Tumor signal intensity on HBP was first assessed visually, and lesions were classified into three distinct groups-hypointense, isointense, or hyperintense-according to the relative signal intensity to liver. Uptake was then quantified using the lesion-to-liver contrast enhancement ratio (LLCER). Finally, the accuracy of HBP analysis in depicting marked β-catenin activation in HCA was evaluated.

resultsA total of 124 HCAs were analyzed including 12 with marked β-catenin activation (HCA B+). Visual analysis classified 94/124 (76%), 12/124 (10%), and 18/124 (14%) HCAs as being hypointense, isointense, and hyperintense on HBP, respectively. Of these, 1/94 (1%), 3/12 (25%), and 8/18 (44%) were HCA B+, respectively (p < 0.001). The LLCER of HCA B+ was higher than that of HCA without marked β-catenin activation in the entire cohort (means 4.9 ± 11.8% vs. - 19.8 ± 11.4%, respectively, p < 0.001). A positive LLCER, i.e., LLCER ≥ 0%, had 75% (95% CI 43-95%) sensitivity and 97% (95% CI 92-99%) specificity, with a LR+ of 28 (95% CI 8.8-89.6) for the diagnosis of HCA B+.

conclusionsHepatospecific contrast uptake on hepatobiliary phase is strongly associated with marked activation of the β-catenin pathway in hepatocellular adenoma, and its use might improve hepatocellular adenoma subtyping on MRI. KEY POINTS: • Tumor uptake on hepatobiliary phase in both the visual and quantitative analyses had a specificity higher than 90% for the detection of marked β-catenin activation in hepatocellular adenoma. • However, the sensitivity of visual analysis alone is inferior to that of LLCER quantification on HBP due to the high number of HCAs with signal hyperintensity on HBP, especially those developed on underlying liver steatosis.

Indexed as

Adenoma, Liver CellCarcinoma, HepatocellularLiver Neoplasmsbeta CateninBiomarkersContrast MediaGadolinium DTPAHumansMagnetic Resonance ImagingRetrospective StudiesSensitivity and Specificitybeta CateninBiomarkersContrast MediaGadolinium DTPAContrast mediaHepatocellular adenomaMagnetic resonance imaging

Identifiers

PMID33146794
OpenAlexW3096729454

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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.