Evidence map›Paper›PMID 28736875›Full record

ArticleMagnetic resonance in medicine2018

Assessment of unilateral ureter obstruction with multi-parametric MRI.

Feng Wang, Keiko Takahashi, Hua Li, Zhongliang Zu, Ke Li, Junzhong Xu, Raymond C Harris, Takamune Takahashi, John C Gore

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. 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
1.9field-weighted citation impact, top 14% 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, 31 citations in OpenAlex.

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  19. Noninvasive assessment of renal fibrosis by magnetic resonance imaging and ultrasound techniques.Translational research : the journal of laboratory and clinical medicine · 2019
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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

9 authors at 1 institution in 1 country.

Feng WangVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Keiko TakahashiDivision of Nephrology and Hypertension, Vanderbilt University, Nashville, Tennessee, USA.
Hua LiVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Zhongliang ZuVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Ke LiVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Junzhong XuVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.ORCID 0000-0001-7895-4232
Raymond C HarrisDivision of Nephrology and Hypertension, Vanderbilt University, Nashville, Tennessee, USA.
Takamune TakahashiDivision of Nephrology and Hypertension, Vanderbilt University, Nashville, Tennessee, USA.
John C GoreVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Vanderbilt University · US

Funding

The Role of the EGF Receptor in Acute and Chronic Renal InjuryR01DK051265 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RAYMOND C. HARRIS, Mingzhi Zhang · 1997 to 2026
$10.1M
The role of the innate immune cell cyclooxygenase/prostaglandin system in blood pressureregulationR01DK062794 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RAYMOND C. HARRIS, Mingzhi Zhang · 2003 to 2026
$9.4M
The Role of renal macrophages in recovery from renal injuryR01DK095785 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RAYMOND C. HARRIS, Mingzhi Zhang · 2013 to 2026
$6.7M
Vanderbilt O'Brien Kidney Center - Core D - Clinical and Translational CoreP30DK114809 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HARRIS, RAYMOND C. · 2017 to 2021
$5.9M
Vanderbilt O'Brien Mouse Kidney Physiology and Disease CenterP30DK079341 · NIDDK · VANDERBILT UNIVERSITY · PI HARRIS, RAYMOND C. · 2008 to 2013
$4.4M
Upgrade of a 7T Small Animal MRI/MRS SystemS10OD019993 · OD · VANDERBILT UNIVERSITY · PI GORE, JOHN C · 2015 to 2015
$600k
BLRD VA I01 BX000320NIDDK NIH HHS P30 DK079341NIDDK NIH HHS P30 DK114809NIDDK NIH HHS R01 DK051265NIDDK NIH HHS R01 DK062794NIDDK NIH HHS R01 DK095785NIH HHS S10 OD019993
6 · The paper itself

Abstract

purposeQuantitative multi-parametric MRI (mpMRI) methods may allow the assessment of renal injury and function in a sensitive and objective manner. This study aimed to evaluate an array of MRI methods that exploit endogenous contrasts including relaxation rates, pool size ratio (PSR) derived from quantitative magnetization transfer (qMT), chemical exchange saturation transfer (CEST), nuclear Overhauser enhancement (NOE), and apparent diffusion coefficient (ADC) for their sensitivity and specificity in detecting abnormal features associated with kidney disease in a murine model of unilateral ureter obstruction (UUO).

methodsMRI scans were performed in anesthetized C57BL/6N mice 1, 3, or 6 days after UUO at 7T. Paraffin tissue sections were stained with Masson trichrome following MRI.

resultsCompared to contralateral kidneys, the cortices of UUO kidneys showed decreases of relaxation rates R

conclusionMeasurements of multiple MRI parameters provide comprehensive information about the molecular and cellular changes produced by UUO. Magn Reson Med 79:2216-2227, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

Magnetic Resonance ImagingAlgorithmsAnimalsContrast MediaDiffusionDisease Models, AnimalFibrosisImage Interpretation, Computer-AssistedKidneyKidney CortexMiceMice, Inbred C57BLReproducibility of ResultsSignal-To-Noise RatioUreterUreteral ObstructionContrast Mediaapparent diffusion coefficient (ADC)chemical exchange saturation transfer (CEST)multi-parametric MRI (mpMRI)nuclear Overhauser enhancement (NOE)pool size ratio (PSR)relaxationrenal injuryunilateral ureter obstruction (UUO)

Identifiers

PMID28736875
PMCPMC5870889
OpenAlexW2738840387

What OpenQuestion holds

Textmetadata
LicenceTDM
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.