Evidence map›Paper›PMID 31463513›Full record

ArticlePediatric radiology2019

2-D magnetic resonance spectroscopic imaging of the pediatric brain using compressed sensing.

Rohini Vidya Shankar, Houchun H Hu, Nutandev Bikkamane Jayadev, John C Chang, Vikram D Kodibagkar

Abstract read
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In one paragraph

Article in Pediatric radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Rohini Vidya ShankarSchool of Biological and Health Systems Engineering, Arizona State University, 501 East Tyler Mall, ECG346, Tempe, AZ, 85287, USA.
Houchun H HuDepartment of Radiology and Medical Imaging, Phoenix Children's Hospital, Phoenix, AZ, USA.
Nutandev Bikkamane JayadevSchool of Biological and Health Systems Engineering, Arizona State University, 501 East Tyler Mall, ECG346, Tempe, AZ, 85287, USA.
John C ChangDepartment of Radiology, Banner MD Anderson Cancer Center, Gilbert, AZ, USA.
Vikram D KodibagkarSchool of Biological and Health Systems Engineering, Arizona State University, 501 East Tyler Mall, ECG346, Tempe, AZ, 85287, USA. Vikram.Kodibagkar@asu.edu.ORCID http://orcid.org/0000-0003-1933-8821
Arizona State University · USPhoenix Children's Hospital · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMagnetic resonance spectroscopic imaging helps to determine abnormal brain tissue conditions by evaluating metabolite concentrations. Although a powerful technique, it is underutilized in routine clinical studies because of its long scan times.

objectiveIn this study, we evaluated the feasibility of scan time reduction in metabolic imaging using compressed-sensing-based MR spectroscopic imaging in pediatric patients undergoing routine brain exams. MATERIALS AND

methodsWe retrospectively evaluated compressed-sensing reconstructions in MR spectroscopic imaging datasets from 20 pediatric patients (11 males, 9 females; average age: 5.4±4.5 years; age range: 3 days to 16 years). We performed retrospective under-sampling of the MR spectroscopic imaging datasets to simulate accelerations of 2-, 3-, 4-, 5-, 7- and 10-fold, with subsequent reconstructions in MATLAB. Metabolite maps of N-acetylaspartate, creatine, choline and lactate (where applicable) were quantitatively evaluated in terms of the root-mean-square error (RMSE), peak amplitudes and total scan time. We used the two-tailed paired t-test along with linear regression analysis to statistically compare the compressed-sensing reconstructions at each acceleration with the fully sampled reference dataset.

resultsHigh fidelity was maintained in the compressed-sensing MR spectroscopic imaging reconstructions from 50% to 80% under-sampling, with the RMSE not exceeding 3% in any dataset. Metabolite intensities and ratios evaluated on a voxel-by-voxel basis showed no statistically significant differences and mean metabolite intensities showed high correlation compared to the fully sampled reference dataset up to an acceleration factor of 5.

conclusionCompressed-sensing MR spectroscopic imaging has the potential to reduce MR spectroscopic imaging scan times for pediatric patients, with negligible information loss.

Indexed as

AdolescentAge FactorsAspartic AcidBrain DiseasesBrain NeoplasmsChildChild, PreschoolCohort StudiesDatabases, FactualFemaleHumansImage Interpretation, Computer-AssistedInfantInfant, NewbornMagnetic Resonance SpectroscopyMaleAspartic AcidN-acetylaspartateBrainChildrenCholineCompressed sensingCreatineLactateMagnetic resonance spectroscopic imagingN-acetylaspartate

Identifiers

PMID31463513
OpenAlexW2970062869

What OpenQuestion holds

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Registered trials

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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.