Evidence map›Paper›PMID 36291962›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Imaging Features of Hepatocellular Carcinoma in the Non-Cirrhotic Liver with Sonazoid-Enhanced Contrast-Enhanced Ultrasound.

Sheng Chen, Yi-Jie Qiu, Dan Zuo, Shuai-Nan Shi, Wen-Ping Wang, Yi Dong

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
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 at 1 institution in 1 country.

Sheng ChenDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China.ORCID 0000-0001-8946-0609
Yi-Jie QiuDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Dan ZuoDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Shuai-Nan ShiDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Wen-Ping WangDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yi DongDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China.ORCID 0000-0002-0212-1477
Sun Yat-sen University · CN

Funding

Clinical Research Plan of SHDC SHDC2020CR4060, SHDC2020CR1031BNational Natural Science Foundation of China 82071942Shanghai Pujiang Program 2020PJD008
6 · The paper itself

Abstract

purposeTo investigate the Sonazoid-enhanced contrast-enhanced ultrasound (CEUS) features of hepatocellular carcinoma (HCC) in a non-cirrhosis liver background, in comparison to those in liver cirrhosis.

methodsIn this retrospective study, 19 patients with surgery and histopathologically proven HCC lesions in non-cirrhosis liver background were included regarding Sonazoid-enhanced CEUS characteristics. Two radiologists evaluated the CEUS features of HCC lesions according to the WFUMB (World Federation of Societies for Ultrasound in Medicine and Biology) guidelines criteria. Thirty-six patients with HCC lesions in liver cirrhosis were included as a control group. Final diagnoses were confirmed by surgery and histopathological results.

resultsLiver background of the non-cirrhosis group including normal liver (

conclusionsHeterogeneous hyperenhancement during the arterial phase as well as relatively early washout are characteristic features of HCC in the non-cirrhotic liver on Sonazoid-enhanced CEUS.

Indexed as

contrast-enhanced ultrasound (CEUS)hepatocellular carcinoma (HCC)non-cirrhotic liverSonazoidwashout

Identifiers

PMID36291962
PMCPMC9601233
OpenAlexW4296467171

What OpenQuestion holds

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LicenceCC BY
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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.