Evidence map›Paper›PMID 31950040›Full record

ArticleBioMed research international2019

Application Value of Magnetic Resonance Perfusion Imaging in the Early Diagnosis of Rat Hepatic Fibrosis.

Guohua Fan, Yang Ya, Xiaoqiong Ni, Jinpeng Hou, Rui Yu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. The roles and mechanisms of hypoxia in liver fibrosis.Journal of translational medicine · 2021
    Review
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Guohua FanDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0001-5806-7177
Yang YaDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Xiaoqiong NiDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Jinpeng HouDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Rui YuDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the application value of perfusion-weighted imaging (PWI) in early diagnosis, quantitation, and hepatic fibrosis staging by analyzing the related parameters in hepatic fibrosis.

methodsA total of 60 rats were randomly divided into the hepatic fibrosis and control groups, and carbon tetrachloride (CCL4) was used to establish the liver fibrosis model. All rats underwent PWI examination, and the trend of the time-signal intensity curve (TIC, automatically generated by the software) was observed. Also, the perfusion parameters, maximum signal reduction ratio (SRRmax), time to peak (TTP), and mean transit time (MTT), were analyzed and compared with pathological staging.

resultsThe TIC curve was characterized by slow wash-in and wash-out with a low and wide peak. The PWI perfusion parameters were statistically significant in specific groups (

conclusionsPWI perfusion parameters reflect the degree of hepatic fibrosis, especially TTP and MTT, and PWI is recommended for the early diagnosis of liver fibrosis for timely intervention and treatment of the disease and delaying its progression.

Indexed as

Early DiagnosisMagnetic Resonance ImagingPerfusion ImagingAnimalsCarbon TetrachlorideDisease Models, AnimalHumansLiverLiver CirrhosisRatsCarbon Tetrachloride

Identifiers

PMID31950040
PMCPMC6949670
OpenAlexW2996956738

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.