Evidence map›Paper›PMID 31797472›Full record

ArticleNMR in biomedicine2020

Multiparametric classification of sub-acute ischemic stroke recovery with ultrafast diffusion,

Avigdor Leftin, Jens T Rosenberg, Xuegang Yuan, Teng Ma, Samuel C Grant, Lucio Frydman

Abstract read
In one paragraph

Article in NMR in biomedicine, 2020. 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. High spatial resolutionbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Nonparametric 5D D-RJournal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  4. 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

6 authors.

Avigdor LeftinDepartment of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-4560-8162
Jens T RosenbergThe National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, USA.
Xuegang YuanFAMU-FSU Chemical and Biochemical Engineering, Florida State University, Tallahassee, FL, USA.
Teng MaFAMU-FSU Chemical and Biochemical Engineering, Florida State University, Tallahassee, FL, USA.
Samuel C GrantThe National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, USA.ORCID 0000-0001-7738-168X
Lucio FrydmanDepartment of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0001-8208-3521

Funding

MR Analysis of Pre-Conditioned Human Mesenchymal Stem Cells for Stroke TherapyR01NS102395 · NINDS · FLORIDA STATE UNIVERSITY · PI GRANT, SAMUEL COLLES · 2017 to 2021
$1.7M
NINDS NIH HHS R01 NS102395
6 · The paper itself

Abstract

MRI leverages multiple modes of contrast to characterize stroke. High-magnetic-field systems enhance the performance of these MRI measurements. Previously, we have demonstrated that individually sodium and stem cell tracking metrics are enhanced at ultrahigh field in a rat model of stroke, and we have developed robust single-scan diffusion-weighted imaging approaches that utilize spatiotemporal encoding (SPEN) of the apparent diffusion coefficient (ADC) for these challenging field strengths. Here, we performed a multiparametric study of middle cerebral artery occlusion (MCAO) biomarker evolution focusing on comparison of these MRI biomarkers for stroke assessment during sub-acute recovery in rat MCAO models at 21.1 T. T

Indexed as

Diffusion Magnetic Resonance ImagingParticle SizeAnimalsBiomarkersFerric CompoundsHumansInfarction, Middle Cerebral ArteryIschemic StrokeMesenchymal Stem CellsRatsROC CurveSodiumStrokeBiomarkersFerric Compoundsferric oxideSodiumdiffusionMRImultiparametricsodiumstem cell trackingstrokeultrahigh field

Identifiers

PMID31797472
PMCPMC8170591

What OpenQuestion holds

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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.