Evidence map›Paper›PMID 30511939›Full record

ReviewRadiology and oncology2018

State of the art in magnetic resonance imaging of hepatocellular carcinoma.

Natally Horvat, Serena Monti, Brunna Clemente Oliveira, Camila Carlos Tavares Rocha, Romina Grazia Giancipoli, Lorenzo Mannelli

Open access · goldAbstract readReview
In one paragraph

Review in Radiology and oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Natally HorvatDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
Serena MontiIRCCS SDN, Naples, Italy.
Brunna Clemente OliveiraDepartment of Radiology, Hospital Sírio-Libanês, São Paulo, Brazil.
Camila Carlos Tavares RochaDepartment of Radiology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Dr. Enéas de Carvalho Aguiar, São Paulo, Brazil.
Romina Grazia GiancipoliDepartment of Nuclear Medicine, Sapienza University of Rome, Roma, Itália.
Lorenzo MannelliDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRMemorial Sloan Kettering Cancer Center · USSapienza University of Rome · ITSDN Istituto di Ricerca Diagnostica e Nucleare · IT

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Background Liver cancer is the sixth most common cancer worldwide and the second leading cause of cancer mortality. Chronic liver disease caused by viral infection, alcohol abuse, or other factors can lead to cirrhosis. Cirrhosis is the most important clinical risk factor for hepatocellular carcinoma (HCC) whereby the normal hepatic architecture is replaced by fibrous septa and a spectrum of nodules ranging from benign regenerative nodules to HCC, each one of them with different imaging features. Conclusions Furthermore, advanced techniques including the quantification of hepatic and intralesional fat and iron, magnetic resonance elastography, radiomics, radiogenomics, and positron emission tomography (PET)-MRI are highly promising for the extraction of new imaging biomarkers that reflect the tumor microenvironment and, in the future, may add decision-making value in the management of patients with HCC.

Indexed as

Carcinoma, HepatocellularContrast MediaHumansLiver NeoplasmsMagnetic Resonance ImagingContrast Mediacirrhosishepatic nodulehepatocellular carcinomalivermagneticresonance imaging

Identifiers

PMID30511939
PMCPMC6287184
OpenAlexW2902422618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.