Evidence map›Paper›PMID 28720778›Full record

ArticleScientific reports2017

Visualization of kidney fibrosis in diabetic nephropathy by long diffusion tensor imaging MRI with spin-echo sequence.

Jun-Ya Kaimori, Yoshitaka Isaka, Masaki Hatanaka, Satoko Yamamoto, Naotsugu Ichimaru, Akihiko Fujikawa, Hiroshi Shibata, Akira Fujimori, Sosuke Miyoshi, Takashi Yokawa and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  12. Noninvasive assessment of renal fibrosis by magnetic resonance imaging and ultrasound techniques.Translational research : the journal of laboratory and clinical medicine · 2019
    Review
  13. Magnetic resonance imaging biomarkers for chronic kidney disease: a position paper from the European Cooperation in Science and Technology Action PARENCHIMA.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018
    Article
  14. 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

14 authors at 3 institutions in 1 country.

Jun-Ya KaimoriDepartment of Advanced Technology for Transplantation, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0781, Japan. kaimori@att.med.osaka-u.ac.jp.
Yoshitaka IsakaDepartment of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Masaki HatanakaDepartment of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Satoko YamamotoDepartment of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Naotsugu IchimaruDepartment of Advanced Technology for Transplantation, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0781, Japan.
Akihiko FujikawaDrug Discovery Research, Astellas Pharma Inc., 21 Miyukigaoka, Tsukuba, Ibaraki, 305-8585, Japan.
Hiroshi ShibataDrug Discovery Research, Astellas Pharma Inc., 21 Miyukigaoka, Tsukuba, Ibaraki, 305-8585, Japan.
Akira FujimoriDrug Discovery Research, Astellas Pharma Inc., 21 Miyukigaoka, Tsukuba, Ibaraki, 305-8585, Japan.
Sosuke MiyoshiDrug Discovery Research, Astellas Pharma Inc., 21 Miyukigaoka, Tsukuba, Ibaraki, 305-8585, Japan.
Takashi YokawaBioView Inc., 2-16-16 Iwamoto-cho, Chiyoda-ku, Tokyo, 101-0032, Japan.
Kagayaki KurodaDepartment of Human and Information Science, Tokai University School of Information Science and Technology, 4-1-1 Kitakaname, Hiratsuka, Kanagawa, 259-1292, Japan.
Toshiki MoriyamaOsaka University Health Care Center, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Hiromi RakugiDepartment of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.ORCID 0000-0001-6508-4338
Shiro TakaharaDepartment of Advanced Technology for Transplantation, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0781, Japan.
The University of Osaka · JPAstellas Pharma (Japan) · JPTokai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal fibrosis (RF) is an indicator for progression of chronic kidney disease (CKD). Although diabetic nephropathy (DN) is the leading cause of CKD and end-stage renal disease in Western populations, the ability of MRI to evaluate RF in DN patients has not been determined. As a first step to identify possible MRI methods for RF evaluation, we examined the use of diffusion tensor imaging (DTI) MRI to evaluate RF in a rat model of DN (SHR/NDmcr-cp(cp/cp): SHR/ND). The signal-to-noise ratio in DTI MRI was enhanced using a spin-echo sequence, and a special kidney attachment was developed for long-term stabilization. The changes in renal temperature and blood flow during measurement were minimal, suggesting the feasibility of this method. At 38 weeks of age, RF had aggressively accumulated in the outer stripe (OS) of the outer medulla. FA maps showed that this method was successful in visualizing and evaluating fibrosis in the OS of the SHR/ND rat kidney (r = 0.7697, P = 0.0126). Interestingly, in the FA color maps, the directions of water molecule diffusion in RF were random, but distinct from conventional water diffusion in brain neuron fibers. These findings indicate that DTI MRI may be able to evaluate RF in CKD by DN.

Indexed as

AnimalsDiabetic NephropathiesDiffusion Tensor ImagingDisease Models, AnimalFibrosisKidneyRats

Identifiers

PMID28720778
PMCPMC5515876
OpenAlexW2734713827

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.