Evidence map›Paper›PMID 37847902›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Contrast Agent-Free 3D Renal Ultrafast Doppler Imaging Reveals Vascular Dysfunction in Acute and Diabetic Kidney Diseases.

Donghyeon Oh, Donghyun Lee, Jinseok Heo, Jooyoung Kweon, Uijung Yong, Jinah Jang, Yong Joo Ahn, Chulhong Kim

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 24 citations in OpenAlex.

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  16. New approaches to acute kidney injury.Clinical kidney journal · 2024
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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

8 authors at 1 institution in 1 country.

Donghyeon OhDepartments of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Cheongam-ro 77, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.ORCID 0000-0002-5553-5649
Donghyun LeeDepartments of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Cheongam-ro 77, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Jinseok HeoDepartments of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Cheongam-ro 77, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Jooyoung KweonDepartments of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Cheongam-ro 77, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Uijung YongDepartments of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Cheongam-ro 77, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Jinah JangDepartments of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Cheongam-ro 77, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Yong Joo AhnDepartments of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Cheongam-ro 77, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Chulhong KimDepartments of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Cheongam-ro 77, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.ORCID 0000-0001-7249-1257
Pohang University of Science and Technology · KR

Funding

BK21 FOUR projects (Pohang University of Science and Technology)Korea Medical Device Development Fund 1711195277Korea Medical Device Development Fund RS-2020-KD000008Korean Fund for Regenerative Medicine 21A0104L1Ministry of EducationMinistry of Health and WelfareMinistry of Science and ICTMinistry of Trade, Industry and EnergyNational Research Foundation of Korea 2020R1A6A1A03047902National Research Foundation of Korea 2021M3C1C3097624National Research Foundation of Korea 2023R1A2C3004880
6 · The paper itself

Abstract

To combat the irreversible decline in renal function associated with kidney disease, it is essential to establish non-invasive biomarkers for assessing renal microcirculation. However, the limited resolution and/or vascular sensitivity of existing diagnostic imaging techniques hinders the visualization of complex cortical vessels. Here, a 3D renal ultrafast Doppler (UFD) imaging system that uses a high ultrasound frequency (18 MHz) and ultrahigh frame rate (1 KHz per slice) to scan the entire volume of a rat's kidney in vivo is demonstrated. The system, which can visualize the full 3D renal vascular branching pyramid at a resolution of 167 µm without any contrast agent, is used to chronically and noninvasively monitor kidneys with acute kidney injury (AKI, 3 days) and diabetic kidney disease (DKD, 8 weeks). Multiparametric UFD analyses (e.g., vessel volume occupancy (VVO), fractional moving blood volume (FMBV), vessel number density (VND), and vessel tortuosity (VT)) describe rapid vascular rarefaction from AKI and long-term vascular degeneration from DKD, while the renal pathogeneses are validated by in vitro blood serum testing and stained histopathology. This work demonstrates the potential of 3D renal UFD to offer valuable insights into assessing kidney perfusion levels for future research in diabetes and kidney transplantation.

Indexed as

Acute Kidney InjuryDiabetes MellitusDiabetic NephropathiesAnimalsContrast MediaKidneyRatsUltrasonography, DopplerContrast Media3D ultrafast doppleracute kidney injurydiabetic kidney diseaserenal vascular imaging

Identifiers

PMID37847902
PMCPMC10754092
OpenAlexW4387698927

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.