Evidence map›Paper›PMID 40384683›Full record

ArticleQuantitative imaging in medicine and surgery2025

Comparison of test-retest repeatability of DESPOT and 3D-QALAS for T

Gizeaddis Lamesgin Simegn, Borjan Gagoski, Yulu Song, Douglas C Dean, Kathleen E Hupfeld, Saipavitra Murali-Manohar, Christopher W Davies-Jenkins, Dunja Simicic, Shohei Fujita, Jessica Wisnowski and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Gizeaddis Lamesgin SimegnRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0003-1333-4555
Borjan GagoskiDepartment of Radiology, Harvard Medical School, Boston, MA, USA.
Yulu SongRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Douglas C DeanDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Kathleen E HupfeldRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Saipavitra Murali-ManoharRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christopher W Davies-JenkinsRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Dunja SimicicRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shohei FujitaDepartment of Radiology, Harvard Medical School, Boston, MA, USA.
Jessica WisnowskiDivision of Neurology, Department of Pediatrics, Children's Hospital Los Angeles and the University of Southern California, Los Angeles, CA, USA.
Vivek YedavalliRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Aaron T GudmundsonRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Helge J ZöllnerRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Georg OeltzschnerRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Richard A E EddenRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Peter CM Van Zijl · 2021 to 2026
$9.9M
2/24 Healthy Brain and Child Development National ConsortiumU01DA055362 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI PAT LEVITT, Beth A Smith · 2021 to 2026
$9.6M
Universal GABA-edited MRS at 3TR01EB016089 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Richard Anthony Edward Edden · 2013 to 2026
$5.4M
Simultaneous Hadamard Editing of GABA and GlutathioneR01EB023963 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI EDDEN, RICHARD ANTHONY EDWARD · 2017 to 2024
$3.8M
Edited Magnetic Resonance Spectroscopy of the Pediatric BrainR01EB032788 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Richard Anthony Edward Edden · 2023 to 2026
$2.7M
Model Selection for Magnetic Resonance SpectroscopyR01EB035529 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Georg Oeltzschner · 2024 to 2026
$1.7M
Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment.R00AG062230 · NIA · JOHNS HOPKINS UNIVERSITY · PI OELTZSCHNER, GEORG · 2021 to 2023
$735k
Validating MRS lipids as biomarkers of brain injury in neonates with hypoxic-ischemic encephalopathyK23HD099309 · NICHD · CHILDREN'S HOSPITAL OF LOS ANGELES · PI WISNOWSKI, JESSICA L · 2019 to 2023
$693k
General Linear Modeling For Magnetic Resonance SpectroscopyR21EB033516 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI OELTZSCHNER, GEORG · 2022 to 2024
$670k
Cortical Inhibition and Mobility in Older AdultsK00AG068440 · NIA · JOHNS HOPKINS UNIVERSITY · PI HUPFELD, KATHLEEN ELIZABETH · 2022 to 2024
$222k
Brain metabolism across the lifespan using multi-parametric MRSK99AG080084 · NIA · JOHNS HOPKINS UNIVERSITY · PI ZOELLNER, HELGE JOERN · 2023 to 2024
$212k
NIA NIH HHS K00 AG068440NIA NIH HHS K99 AG080084NIA NIH HHS R00 AG062230NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB016089NIBIB NIH HHS R01 EB023963NIBIB NIH HHS R01 EB032788NIBIB NIH HHS R01 EB035529NIBIB NIH HHS R21 EB033516NICHD NIH HHS K23 HD099309NIDA NIH HHS U01 DA055362
6 · The paper itself

Abstract

Background: Relaxometry, specifically T Methods: Ten healthy volunteers underwent brain MRI at 1.3 mm Results: Our results indicate that both the DESPOT and 3D-QALAS techniques demonstrate good levels of test-retest repeatability for T Conclusions: Overall, 3D-QALAS demonstrated better repeatability for T

Indexed as

Driven Equilibrium Single Pulse Observation of T1 and T2 (DESPOT)relaxometryrepeatabilityT1, T2three-dimensional quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS)

Identifiers

PMID40384683
PMCPMC12082599

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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.