Evidence map›Paper›PMID 31270858›Full record

ArticleMagnetic resonance in medicine2019

Characterizing a short T

Ante Zhu, Diego Hernando, Kevin M Johnson, Scott B Reeder

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. QuantitativeMagma (New York, N.Y.) · 2024
    Article
  3. Free-breathing MRI techniques for fat and RMagma (New York, N.Y.) · 2024
    Review
  4. Clinical Application of Quantitative MR Imaging in Nonalcoholic Fatty Liver Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  5. Article
  6. Review
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.

Ante ZhuDepartment of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin.ORCID 0000-0001-6251-2341
Diego HernandoDepartment of Radiology, University of Wisconsin, Madison, Wisconsin.
Kevin M JohnsonDepartment of Radiology, University of Wisconsin, Madison, Wisconsin.
Scott B ReederDepartment of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin.

Funding

Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
Advanced MRI FOR Uteroplacental Flow, Perfusion, Oxygenation & InflammationU01HD087216 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI SHAH, DINESH MANILAL, WIEBEN, OLIVER · 2015 to 2015
$4.0M
MRI methods for high resolution imaging of the lungR01HL136965 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSON, KEVIN MICHAEL, LARSON, PEDER ERIC ZUFALL · 2018 to 2021
$2.7M
Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
MRI-based Quantitative Susceptibility Mapping of Hepatic Iron OverloadR01DK117354 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI HERNANDO, DIEGO · 2018 to 2021
$2.3M
Technical Development of Quantitative Biomarkers of Fatty Liver Disease with MRIR01DK083380 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2010 to 2013
$1.2M
Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During PubertyK24DK102595 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2018
$927k
NHLBI NIH HHS R01 HL136965NICHD NIH HHS U01 HD087216NIDDK NIH HHS K24 DK102595NIDDK NIH HHS R01 DK083380NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK100651NIDDK NIH HHS R01 DK117354
6 · The paper itself

Abstract

purposeRecent studies have suggested the presence of short-T

methodsAn ultrashort echo time (UTE) chemical shift-encoded MRI (CSE-MRI) technique and a multicomponent reconstruction were developed to characterize short-T

resultsShort-T

conclusionsA liver short-T

Indexed as

Magnetic Resonance ImagingAdipose TissueAdultAgedAlgorithmsComputer SimulationFatty LiverFemaleHealthy VolunteersHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedLiverLiver CirrhosisMaleMiddle AgedProtonschemical shift-encodedliver MRIquantitative imagingshort T2*ultrashort TE

Identifiers

PMID31270858
PMCPMC6717026

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.