Evidence map›Paper›PMID 40785862›Full record

ArticleQuantitative imaging in medicine and surgery2025

Intravoxel incoherent motion diffusion-weighted imaging for the assessment of renal injury in cirrhotic patients.

Ran Hu, Yu Fang, Yang Jiang, Lisha Nie, Huiping Yang, Hua Yang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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
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

1 citing paper in PubMed.

  1. Review
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.

Ran Hu *Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.ORCID https://orcid.org/0000-0002-6010-5299
Yu Fang *Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.
Yang JiangDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.
Lisha NieGE Healthcare, MR Research China, Beijing, China.
Huiping YangDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.
Hua YangDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine (The First Affiliated Hospital of Chongqing University of Chinese Medicine), Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Renal dysfunction is a common complication in patients with cirrhosis, and early detection is crucial for timely intervention and treatment. Intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) serves as a non-invasive imaging technique that provides valuable insights into tissue perfusion and diffusion changes, demonstrating significant superiority in assessing renal injury. This prospective study aimed to evaluate early renal injury in patients with cirrhosis using IVIM DWI and to explore the correlation of IVIM parameters with the severity of liver cirrhosis based on the Child-Pugh classification. Methods: Sixty-four cirrhotic patients and 30 healthy subjects underwent IVIM on a 3.0-T magnetic resonance imaging (MRI). Diffusion coefficient (ADC Results: In the control group, bilateral renal IVIM parameters (ADC Conclusions: IVIM DWI non-invasively assesses early renal injury in cirrhotic patients, with reduced renal perfusion correlating with liver cirrhosis severity.

Indexed as

Cirrhosisdiffusion-weighted imaging (DWI)intravoxel incoherent motion (IVIM)kidneysmagnetic resonance imaging (MRI)

Identifiers

PMID40785862
PMCPMC12332735

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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.