Evidence map›Paper›PMID 30402046›Full record

ReviewContrast media & molecular imaging2018

Microvascular Invasion in HCC: The Molecular Imaging Perspective.

Vincenzo Cuccurullo, Giuseppe Danilo Di Stasio, Giuseppe Mazzarella, Giuseppe Lucio Cascini

Abstract readReview
In one paragraph

Review in Contrast media & molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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  10. Evolution of the liver biopsy and its future.Translational gastroenterology and hepatology · 2021
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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

4 authors.

Vincenzo CuccurulloNuclear Medicine Unit, Department of Precision Medicine, Università della Campania "Luigi Vanvitelli", Napoli, Italy.ORCID 0000-0003-0474-7163
Giuseppe Danilo Di StasioNuclear Medicine Unit, Department of Precision Medicine, Università della Campania "Luigi Vanvitelli", Napoli, Italy.
Giuseppe MazzarellaDepartment of Diagnostic Imaging, Nuclear Medicine Unit, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Giuseppe Lucio CasciniDepartment of Diagnostic Imaging, Nuclear Medicine Unit, Magna Graecia University of Catanzaro, Catanzaro, Italy.ORCID 0000-0003-0332-2606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma represents the most frequent primary liver tumor; curative options are only surgical resection and liver transplantation. From 1996, Milan Criteria are applied in consideration of patients with cirrhosis and hepatocellular for liver transplantation; nonetheless, more recently, Milan Criteria have been criticized because they appear over conservative. Apart from number and size of lesions and biomarker levels, which already have been associated with poorer prognosis, overall survival and recurrence rates after transplantation are affected also by the presence of vascular invasion. Microvascular invasion suggests a poor prognosis but it is often hard to detect before transplant. Diagnostic imaging and tumor markers may play an important role and become the main tools to define microvascular invasion. In particular, a possible role could be found for computed tomography, magnetic resonance imaging, and positron emission tomography. In this paper, we analyze the possible role of positron emission tomography as a preoperative imaging biomarker capable of predicting microvascular invasion in patients with hepatocellular carcinoma and thus selecting optimal candidates for liver transplantation.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsLiver TransplantationMolecular ImagingPositron-Emission TomographyDisease-Free SurvivalHumansMicrovesselsSurvival Rate

Identifiers

PMID30402046
PMCPMC6193341

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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.