Evidence map›Paper›PMID 41225683›Full record

ArticleEuropean journal of medical research2025

Ultrasound super-resolution microvascular imaging of kidney microvascular alterations in acute kidney injury on a clinical ultrasound scanner.

Ping Zhao, Jianing Zhu, Huina An, Luda Song, Yiru Wang, Qiuyang Li, Yukun Luo

Abstract read
In one paragraph

Article in European journal of medical research, 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

7 authors.

Ping Zhao *School of Medicine, Nankai University, Tianjin, 300071, China.
Jianing Zhu *Department of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Huina AnDepartment of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Luda SongDepartment of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Yiru WangDepartment of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Qiuyang LiDepartment of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China. liqiuyang0925@163.com.
Yukun LuoSchool of Medicine, Nankai University, Tianjin, 300071, China. luoyukun@301hospital.com.cn.

Funding

National Natural Science Foundation of China 82371985Natural Science Foundation of Beijing Municipality 7232352
6 · The paper itself

Abstract

backgroundEarly assessment of acute kidney injury (AKI) is critical to the prognosis of patients. Kidney microcirculation hemodynamic changes are pivotal to AKI pathogenesis. This study aims to evaluate the feasibility of ultrasound resolution microvascular (URM) imaging in evaluating kidney microvascular alterations in ischemia-reperfusion induced AKI using a clinical ultrasound scanner, with qualitative and quantitative microvascular analysis.

methodsSprague Dawley rats were randomly divided into ischemia-reperfusion injury (IRI), sham and control groups. Kidney microvascular characteristics were captured using URM. URM images were compared with color Doppler and superb microvascular imaging (SMI). In addition, URM was capable of providing quantitative information on blood density and velocities. After ultrasound examination, kidney tissues were fixed for pathological sectioning and examination.

resultsCompared to color Doppler and SMI techniques, interlobar, arcuate, cortical radial vessels, and part of the medullary organization were more visible on URM density maps. URM identified vessels 4-7 times thinner compared with color Doppler and SMI. The average URM smallest analyzable vessel was 0.11 ± 0.01 mm. Furthermore, quantitative findings demonstrated significant differences in kidney cortical mean vessel ratio, mean density and perfusion index between the IRI group and both control and sham groups (p < 0.0001, = 0.0237, = 0.0028). These parameters correlated significantly with CD31 immunohistochemistry (r = 0.62-0.68).

conclusionsThis study demonstrates the feasibility of URM in AKI using a conventional clinical ultrasound scanner, with simple examination procedure and post-processing tools. Hence, this technique could be a promising diagnostic tool for qualitative and quantitative kidney microvascular assessment.

Indexed as

Acute Kidney InjuryKidneyMicrovesselsReperfusion InjuryAnimalsMaleMicrocirculationRatsRats, Sprague-DawleyUltrasonographyUltrasonography, Doppler, ColorAcute kidney injuryIschemia–reperfusion injuryMicrovascular densityUltrasonographyUltrasound super-resolution microvascular

Identifiers

PMID41225683
PMCPMC12613541

What Socratic 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 Socratic graph.