Evidence map›Paper›PMID 25550855›Full record

ArticleInternational journal of clinical and experimental pathology2014

Mesenteric and splenic contributions to portal venous CT perfusion in hepatic diffuse disease.

Hongzan Sun, Zaiming Lu, Hongyuan Liang, Jun Xin, Yuying Gao, Qiyong Guo

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In one paragraph

Article in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 74% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hongzan SunDepartment of Radiology, Shengjing Hospital of China Medical University Shenyang 110004, China.
Zaiming LuDepartment of Radiology, Shengjing Hospital of China Medical University Shenyang 110004, China.
Hongyuan LiangDepartment of Radiology, Shengjing Hospital of China Medical University Shenyang 110004, China.
Jun XinDepartment of Radiology, Shengjing Hospital of China Medical University Shenyang 110004, China.
Yuying GaoDepartment of Radiology, Shengjing Hospital of China Medical University Shenyang 110004, China.
Qiyong GuoDepartment of Radiology, Shengjing Hospital of China Medical University Shenyang 110004, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the changes and contributions of superior mesenteric venous perfusion (SMVP) and splenic venous perfusion (SpVP) to portal venous CT perfusion in canine model of hepatic diffuse disease. MATERIALS AND

methodsBy selective catheterization in superior mesenteric and splenic arteries respectively after CT perfusion scanning, SMVP and SpVP became available. Sixteen dogs were adopted and induced by carbon tetrachloride after data under normal conditions were collected. After 3, 6, 9 and 12 months from carbon tetrachloride intervention, liver biopsies by puncture or operation were performed after CT perfusion scanning. SMVP and SpVP under different pathologic conditions were compared and analyzed.

resultsThree stages of hepatic diffuse lesions were defined according to pathologic changes, namely hepatitis, hepatic fibrosis, and cirrhosis. The number of dogs which survived from each stage was: 16 from normal, 12 from hepatitis, 10 from hepatic fibrosis and 4 from cirrhosis. During this progressive period, SpVP ml/(min·100 ml) declined slightly, but there were no significant differences between different stages (P > 0.05). SMVP ml/(min·100 ml) in stage of normal (64.1 ± 8.1) and hepatic fibrosis (44.4 ± 4.5), normal and cirrhosis (42.6 ± 5.4), hepatitis (61.3 ± 6.4) and hepatic fibrosis, hepatitis and cirrhosis was significantly different, but there was no significant difference of SMVP between normal and hepatitis (P = 0.326) or hepatic fibrosis and cirrhosis (P = 0.668).

conclusionsWith our evidence of interventional CT perfusion, it is mesenteric, not splenic, perfusion that might coincide with hepatic portal venous perfusion during the progressive period of hepatic diffuse disease.

Indexed as

AnimalsCarbon TetrachlorideDisease Models, AnimalDogsHepatitis, AnimalLiver CirrhosisMesenteric VeinsRadiographySplenic VeinCarbon Tetrachloridecomputed tomographyhepatic diffuse diseasePortal venous perfusion

Identifiers

PMID25550855
PMCPMC4270587
OpenAlexW2399009067

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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.