Evidence map›Paper›PMID 34277748›Full record

ArticleFrontiers in veterinary science2021

Renal Diffusion-Weighted Imaging in Healthy Dogs: Reproducibility, Test-Retest Repeatability, and Selection of the Optimal b-value Combination.

Sang-Kwon Lee, Juryeoung Lee, Seolyn Jang, Eunji Lee, Chang-Yeop Jeon, Kyung-Seoub Lim, Yeung Bae Jin, Jihye Choi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in veterinary science, 2021. 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
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Sang-Kwon LeeCollege of Veterinary Medicine and BK21 Plus Project Team, Chonnam National University, Gwangju, South Korea.
Juryeoung LeeCollege of Veterinary Medicine and BK21 Plus Project Team, Chonnam National University, Gwangju, South Korea.
Seolyn JangCollege of Veterinary Medicine and BK21 Plus Project Team, Chonnam National University, Gwangju, South Korea.
Eunji LeeCollege of Veterinary Medicine and BK21 Plus Project Team, Chonnam National University, Gwangju, South Korea.
Chang-Yeop JeonNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, South Korea.
Kyung-Seoub LimFuturistic Animal Resource and Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, South Korea.
Yeung Bae JinCollege of Veterinary Medicine, Gyeongsang National University, Jinju, South Korea.
Jihye ChoiCollege of Veterinary Medicine and BK21 Plus Project Team, Chonnam National University, Gwangju, South Korea.
Chonnam National University · KRKorea Research Institute of Bioscience and Biotechnology · KRGyeongsang National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion-weighted imaging (DWI) magnetic resonance imaging can evaluate alterations in the microstructure of the kidney. The purpose of this study was to assess the apparent diffusion coefficient (ADC) and the intravoxel incoherent motion model (IVIM) parameters of a normal kidney in healthy dogs, to evaluate the effect of b-value combinations on the ADC value, and the reproducibility and test-retest repeatability in monoexponential and IVIM analysis. In this experimental study, the ADC, pure diffusion coefficient (D), pseudodiffusion coefficient (D

Indexed as

b-valuecaninediffusion-weighted magnetic resonance imagingkidneyrenal fibrosis

Identifiers

PMID34277748
PMCPMC8282824
OpenAlexW3178267445

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.