Evidence map›Paper›PMID 38078603›Full record

ArticleJournal of visualized experiments : JoVE2023

Acquiring Hyperpolarized 129Xe Magnetic Resonance Images of Lung Ventilation.

William J Garrison, John P Mugler, Jaime F Mata, Roselove N Nunoo-Asare, Y Michael Shim, G Wilson Miller

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2023. 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, top 84% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

William J GarrisonDepartment of Biomedical Engineering, University of Virginia.
John P MuglerDepartment of Biomedical Engineering, University of Virginia; Department of Radiology and Medical Imaging, University of Virginia.
Jaime F MataDepartment of Radiology and Medical Imaging, University of Virginia.
Roselove N Nunoo-AsareDepartment of Radiology and Medical Imaging, University of Virginia.
Y Michael ShimDepartment of Medicine, University of Virginia.
G Wilson MillerDepartment of Biomedical Engineering, University of Virginia; Department of Radiology and Medical Imaging, University of Virginia; Department of Physics, University of Virginia; gwm2n@virginia.edu.
University of Virginia · US

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
Hyperpolarized Xenon-129 MRI: a new multi-dimensional biomarker to determine pulmonary physiologic responses to COPD therapeuticsR01HL132177 · NHLBI · UNIVERSITY OF VIRGINIA · PI QING, KUN, SHIM, YUN MICHAEL · 2017 to 2021
$3.9M
Sexual dimorphism in susceptibility to emphysematous tissue injuryR01HL167202 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI ANI Wang MANICHAIKUL, Yun Michael Shim · 2023 to 2026
$3.0M
Regional Quantification of Lung Function in Cystic Fibrosis using Xe129 MRIR01CA172595 · NCI · UNIVERSITY OF VIRGINIA · PI MATA, JAIME · 2013 to 2017
$1.6M
High-Performance Xe129 Gas Polarization System for MR ImagingS10OD018079 · OD · UNIVERSITY OF VIRGINIA · PI MATA, JAIME · 2014 to 2014
$600k
NCATS NIH HHS UL1 TR003015NCI NIH HHS R01 CA172595NHLBI NIH HHS R01 HL132177NHLBI NIH HHS R01 HL167202NIH HHS S10 OD018079
6 · The paper itself

Abstract

Hyperpolarized

Indexed as

LungXenon IsotopesMagnetic Resonance ImagingXenonXenonXenon-129Xenon Isotopes

Identifiers

PMID38078603
PMCPMC11479144
OpenAlexW4388880001

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.