Evidence map›Paper›PMID 29805544›Full record

ArticleExperimental and therapeutic medicine2018

MRI manifestations of hepatic perfusion disorders.

Qing-Yong Cao, Zhi-Meng Zou, Qi Wang, Chun-Ni He, Qing Zou, Bin Wang

Open access · diamondAbstract read
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Article in Experimental and therapeutic medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 10 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

6 authors at 2 institutions in 1 country.

Qing-Yong CaoDepartment of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, P.R. China.
Zhi-Meng ZouDepartment of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, P.R. China.
Qi WangDepartment of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, P.R. China.
Chun-Ni HeDepartment of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, P.R. China.
Qing ZouDepartment of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, P.R. China.
Bin WangDepartment of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong 264100, P.R. China.
Binzhou Medical University · CNBinzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to analyze the magnetic resonance imaging (MRI) results from patients with hepatic perfusion disorders (HPD) and liver diseases, in order to assess the pathogenetic mechanisms. This was completed byanalyzing the causes of HPD in 35 patients to assess if they were associated with arterioportal shunt, and classify the patients according to results from the MRI scans. Of the 35 patients, 26 (74.3%) with HPD presented with hepatocellular carcinoma, a major cause of HPD. The HPD phenomenon in 35 patients was not identified as obvious abnormal lesions on T2WI and T1WI according to the isointensity on diffusion weighted images. Enhanced scanning showed hyperintense signals on the arterial phase images, isointense or hyperintense signals on portal phase and delayed phase images. According to their MRI findings, hepatic perfusion disorders may be divided into different types, as follows: Diffuse, lobe or segment type, wedge type and platy. The HPD phenomenon may herald an underlying abnormality of liver disease and MRI may accurately diagnose HPDs in liver diseases.

Indexed as

disordershepaticmagnetic resonance imagingperfusion

Identifiers

PMID29805544
PMCPMC5958701
OpenAlexW2800250564

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.