Evidence map›Paper›PMID 28176396›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

Multiresolution imaging using golden angle stack-of-stars and compressed sensing for dynamic MR urography.

Abhishek Pandey, Umit Yoruk, Mahesh Keerthivasan, Jean-Philippe Galons, Puneet Sharma, Kevin Johnson, Diego R Martin, Maria I Altbach, Ali Bilgin, Manojkumar Saranathan

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Abhishek PandeyElectrical & Computer Engineering, University of Arizona, Tucson, Arizona, USA.
Umit YorukRadiology, Stanford University, Stanford, California, USA.
Mahesh KeerthivasanElectrical & Computer Engineering, University of Arizona, Tucson, Arizona, USA.
Jean-Philippe GalonsMedical Imaging, University of Arizona, Tucson, Arizona, USA.
Puneet SharmaMedical Imaging, University of Arizona, Tucson, Arizona, USA.
Kevin JohnsonSiemens Medical Solution USA, Inc, Malvern, Pennsylvania, USA.
Diego R MartinMedical Imaging, University of Arizona, Tucson, Arizona, USA.
Maria I AltbachMedical Imaging, University of Arizona, Tucson, Arizona, USA.
Ali BilginElectrical & Computer Engineering, University of Arizona, Tucson, Arizona, USA.
Manojkumar SaranathanMedical Imaging, University of Arizona, Tucson, Arizona, USA.

Funding

Detection of Lipid Infiltration in the Heart with MRIR01HL085385 · NHLBI · UNIVERSITY OF ARIZONA · PI ALTBACH, MARIA I. · 2007 to 2011
$1.5M
Novel radial MRI methods for abdominal imagingR33CA099074 · NCI · UNIVERSITY OF ARIZONA · PI ALTBACH, MARIA I · 2003 to 2005
$1.0M
NCI NIH HHS R33 CA099074NHLBI NIH HHS R01 HL085385
6 · The paper itself

Abstract

purposeTo develop a novel multiresolution MRI methodology for accurate estimation of glomerular filtration rate (GFR) in vivo. MATERIALS AND

methodsA three-dimensional golden-angle radial stack-of-stars (SoS) trajectory was used for data acquisition on a 3 Tesla MRI scanner. Multiresolution reconstruction and analysis was performed using arterial input function reconstructed at 1-s. temporal resolution and renal dynamic data reconstructed using compressed sensing (CS) with 4-s temporal resolution. The method was first validated using simulations and the clinical utility of the technique was evaluated by comparing the GFR estimates from the proposed method to the estimated GFR (eGFR) obtained from serum creatinine for 10 subjects.

resultsThe 4-s temporal resolution CS images minimized streaking artifacts and noise while the 1-s temporal resolution AIF minimized errors in GFR estimates. A paired t-test showed that there was no statistically significant difference between MRI based total GFR values and serum creatinine based eGFR estimates (P = 0.92).

conclusionWe have demonstrated the feasibility of multiresolution MRI using a golden angle radial stack-of-stars scheme to accurately estimate GFR as well as produce diagnostic quality dynamic images in vivo. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2017;46:303-311.

Indexed as

Glomerular Filtration RateSignal Processing, Computer-AssistedAlgorithmsData CompressionHumansImage EnhancementImage Interpretation, Computer-AssistedKidneyKidney Function TestsMagnetic Resonance ImagingReproducibility of ResultsSensitivity and SpecificityUrographycompressed sensingdynamic contrast enhanced MRIglomerular filtration ratemultiresolution MRIpharmacokinetic modeling

Identifiers

PMID28176396
PMCPMC12036946

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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 OpenQuestion graph.