Evidence map›Paper›PMID 38416165›Full record

ArticleAbdominal radiology (New York)2024

CT perfusion imaging of the liver and the spleen can identify severe portal hypertension.

Biyun Zhu, Chuhan Wang, Jin Gao, Haixin Liu, Ning Li, Yue Teng

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Quantitative Total-Body Imaging of Blood Flow with High-Temporal-Resolution Early DynamicJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  2. Influences of the second motion probing gradientQuantitative imaging in medicine and surgery · 2025
    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.

Biyun Zhu *Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu Province, China.
Chuhan Wang *Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu Province, China.
Jin GaoState Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, Suzhou, 215123, China.
Haixin LiuSuzhou Medical College of Soochow University, Suzhou, 215000, Jiangsu, China.
Ning LiGE Hangwei Medical Systems Co., Ltd, Beijing, 100176, China.
Yue TengDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu Province, China. tengyue@suda.edu.cn.ORCID 0000-0002-8284-5044
Soochow University · CN

Funding

Suzhou medical association 2022YX-M01
6 · The paper itself

Abstract

purposeTo determine if hepatic and splenic perfusion parameters are useful in identifying severe portal hypertension (SPH).

methodsThe study enrolled 52 patients who underwent perfusion CT scan within one week before the hepatic venous pressure gradient (HVPG) measurement. A commercial software package was used for post-processing to generate hepatic and splenic perfusion parameters. Correlations were assessed using Pearson and Spearman rank correlation coefficients. Logistic regression was used to screen predictive parameters of SPH. The cut-off values of parameters for severe portal hypertension were calculated, as well as the sensitivity and specificity.

resultsThere was a significant difference between SPH and non-severe portal hypertension (NSPH) in blood volume of liver (BV

conclusionThere was a moderate correlation between CT perfusion parameters BV

Indexed as

Hypertension, PortalSpleenHumansLiverLiver CirrhosisPerfusion ImagingTomography, X-Ray ComputedHypertensionLiver cirrhosisMultidetector computed tomographyPerfusion imagingPortal

Identifiers

PMID38416165
OpenAlexW4392241536

What OpenQuestion holds

Textmetadata
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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.