Evidence map›Paper›PMID 30898969›Full record

ArticleDisease models & mechanisms2019

Characterization of high- and low-risk hepatocellular adenomas by magnetic resonance imaging in an animal model of glycogen storage disease type 1A.

Roberta Resaz, Francesca Rosa, Federica Grillo, Luca Basso, Daniela Segalerba, Andrea Puglisi, Maria Carla Bosco, Luca Mastracci, Carlo E Neumaier, Luigi Varesio and 1 more

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2019. 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
0.7field-weighted citation impact, top 28% 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, 4 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 2 institutions in 1 country.

Roberta ResazLaboratory of Molecular Biology, Istituto Giannina Gaslini, 16147 Genova, Italy.
Francesca RosaDepartment of Science of Health (DISSAL), University of Genova, 16132 Genova, Italy.ORCID 0000-0002-7744-4385
Federica GrilloPathology Unit, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, 16132 Genova, Italy.
Luca BassoDepartment of Science of Health (DISSAL), University of Genova, 16132 Genova, Italy.ORCID 0000-0002-9606-6172
Daniela SegalerbaLaboratory of Molecular Biology, Istituto Giannina Gaslini, 16147 Genova, Italy.
Andrea PuglisiLaboratory of Molecular Biology, Istituto Giannina Gaslini, 16147 Genova, Italy.ORCID 0000-0002-1539-7659
Maria Carla BoscoLaboratory of Molecular Biology, Istituto Giannina Gaslini, 16147 Genova, Italy.
Luca MastracciPathology Unit, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, 16132 Genova, Italy.
Carlo E NeumaierDepartment of Radiology, Ospedale Policlinico San Martino, 16132 Genova, Italy.
Luigi VaresioLaboratory of Molecular Biology, Istituto Giannina Gaslini, 16147 Genova, Italy.
Alessandra EvaLaboratory of Molecular Biology, Istituto Giannina Gaslini, 16147 Genova, Italy alessandreva@ospedale-gaslini.ge.it.ORCID 0000-0003-2949-078X
Istituto Giannina Gaslini · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular adenomas (HCAs) are benign tumors, of which the most serious complications are hemorrhage and malignant transformation to hepatocellular carcinoma (HCC). Among the various subtypes of HCA, the β-catenin-activated subtype (bHCA) is associated with greatest risk of malignant transformation. Magnetic resonance imaging (MRI) is an important tool to differentiate benign and malignant hepatic lesions, and preclinical experimental approaches may help to develop a method to identify MRI features associated with bHCA. HCAs are associated with various pathologies, including glycogen storage disease 1a (GSD1a). Here, we utilized a mouse model for GSD1a that develops HCA and HCC, and analyzed the mice in order to distinguish low-risk from high-risk tumors. Animals were scanned by MRI using a hepato-specific contrast agent. The mice were sacrificed after MRI and their lesions were classified using immunohistochemistry. We observed that 45% of the animals developed focal lesions, and MRI identified four different patterns after contrast administration: isointense, hyperintense and hypointense lesions, and lesions with peripheral contrast enhancement. After contrast administration, only bHCA and HCC were hypointense in T1-weighted imaging and mildly hyperintense in T2-weighted imaging. Thus, high-risk adenomas display MRI features clearly distinguishable from those exhibited by low-risk adenomas, indicating that MRI is a reliable method for early diagnosis and classification of HCA, necessary for correct patient management.

Indexed as

Magnetic Resonance ImagingAdenoma, Liver CellAnimalsDisease Models, AnimalGlucose-6-PhosphataseGlycogen Storage Disease Type ILiverLiver NeoplasmsOrgan SpecificityGlucose-6-PhosphataseLiverMagnetic resonanceTumorβ-Catenin

Identifiers

PMID30898969
PMCPMC6505483
OpenAlexW2923552572

What OpenQuestion holds

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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.