Evidence map›Paper›PMID 32618104›Full record

ArticleJournal of magnetic resonance imaging : JMRI2020

Determination of Brain Metabolite T

Li An, Maria Ferraris Araneta, Milalynn Victorino, Jun Shen

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 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
0.3field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Accelerated 3D metabolite TMagnetic resonance in medicine · 2024
    Article
  3. 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

4 authors at 1 institution in 1 country.

Li AnSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-8979-852X
Maria Ferraris AranetaSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Milalynn VictorinoSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Jun ShenSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
National Institutes of Health · US

Funding

Magnetic Resonance Spectroscopy and Imaging Studies of Brain FunctionsZIAMH002803 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI SHEN, JUN · 2009 to 2025
$24.9M
Intramural NIH HHS ZIA MH002803
6 · The paper itself

Abstract

backgroundJ-coupled metabolites are often measured at a predetermined echo time in the presence of macromolecule signals, which complicates the measurement of metabolite T PURPOSE: To evaluate the feasibility and benefits of measuring metabolite T STUDY TYPE: Prospective. SUBJECTS: Five healthy volunteers (three females and two males; age = 27 ± 7 years). FIELD STRENGTH/SEQUENCE: 7T scanner using a point resolved spectroscopy (PRESS)-based spectral editing MR spectroscopy (MRS) sequence with inversion recovery (IR). ASSESSMENT: F-tests were performed to evaluate if the new approach, which fitted all the spectra together and used the same baselines for the three different IR settings, significantly reduced the variances of the metabolite T STATISTICAL TESTS: Cramer-Rao lower bound (CRLB), within-subject coefficient of variation, and F-test.

resultsThe T DATA

conclusionKeeping macromolecule signals intact by using only long IR times allowed the use of a single macromolecule spectral model for different IR settings and significantly reduced the variances of NAA, Glu, Gln, tCr, tCho, and mI T LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY STAGE: 1.

Indexed as

Aspartic AcidGlutamic AcidAdultBrainFemaleGlutamineHumansMagnetic Resonance SpectroscopyMaleProspective StudiesYoung AdultAspartic AcidGlutamic AcidGlutamineGABAglutamateglutaminemacromoleculeT1

Identifiers

PMID32618104
PMCPMC10108383
OpenAlexW3040250964

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.