Evidence map›Paper›PMID 29234627›Full record

ReviewLiver cancer2016

Imaging Diagnosis of Hepatocellular Carcinoma: Recent Advances of Contrast-Enhanced Ultrasonography with SonoVue®.

Veronica Salvatore, Alice Gianstefani, Giulia Negrini, Giulia Allegretti, Marzia Galassi, Fabio Piscaglia

Abstract readReview
In one paragraph

Review in Liver cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Veronica SalvatoreDivision of Internal Medicine, Department of Medical and Surgical Science, University of Bologna, S.Orsola-Malpighi Hospital, Bologna, Italy.
Alice GianstefaniDivision of Internal Medicine, Department of Medical and Surgical Science, University of Bologna, S.Orsola-Malpighi Hospital, Bologna, Italy.
Giulia NegriniDivision of Internal Medicine, Department of Medical and Surgical Science, University of Bologna, S.Orsola-Malpighi Hospital, Bologna, Italy.
Giulia AllegrettiDivision of Internal Medicine, Department of Medical and Surgical Science, University of Bologna, S.Orsola-Malpighi Hospital, Bologna, Italy.
Marzia GalassiDivision of Internal Medicine, Department of Medical and Surgical Science, University of Bologna, S.Orsola-Malpighi Hospital, Bologna, Italy.
Fabio PiscagliaDivision of Internal Medicine, Department of Medical and Surgical Science, University of Bologna, S.Orsola-Malpighi Hospital, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the ability to detect the typical contrast-imaging pattern for hepatocellular carcinoma (HCC), that is hyperenhancement in the arterial phase and hypoenhancement in the late phase on a cirrhotic background, contrast-enhanced ultrasonography (CEUS) was included in the American diagnostic algorithm for HCC in 2005. However, its role has been questioned because of the possibility of misdiagnosis of cholangiocarcinoma. The present review aims to describe the advantages and disadvantages of CEUS applications using Sonovue® for HCC. In particular there is focus on the accuracy of CEUS in detecting the typical HCC pattern, the CEUS patterns of intrahepatic cholangiocarcinoma (ICC), the risk of misdiagnosis with HCC, the diagnostic use of CEUS in cases of locoregional and systemic treatments, and the evaluation of response to antiangiogenic treatment using dedicated software.

Indexed as

CholangiocarcinomaCirrhosisDiagnosisHepatocellular carcinomaTreatment

Identifiers

PMID29234627
PMCPMC5704684

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.