Evidence map›Paper›PMID 38291598›Full record

ArticleMagnetic resonance in medicine2024

Quantification of the in vivo brain ultrashort-T

Nikhil Deveshwar, Jingwen Yao, Misung Han, Nicholas Dwork, Xin Shen, Emil Ljungberg, Eduardo Caverzasi, Peng Cao, Roland Henry, Ari Green and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 4 institutions in 3 countries.

Nikhil DeveshwarDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-5516-3769
Jingwen YaoUC Berkeley - UCSF Graduate Program in Bioengineering, San Francisco, California, USA.
Misung HanUC Berkeley - UCSF Graduate Program in Bioengineering, San Francisco, California, USA.ORCID 0000-0003-0918-8831
Nicholas DworkDepartments of Biomedical Informatics and Radiology, University of Colorado School of Medicine, Aurora, Colorado, USA.ORCID 0000-0002-9838-4772
Xin ShenUC Berkeley - UCSF Graduate Program in Bioengineering, San Francisco, California, USA.ORCID 0000-0003-0184-8751
Emil LjungbergDepartment of Medical Radiation Physics, Lund University, Lund, Sweden.ORCID 0000-0003-1456-7967
Eduardo CaverzasiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Peng CaoDepartment of Diagnostic Radiology, Hong Kong University, Hong Kong, China.ORCID 0000-0002-1116-1171
Roland HenryDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.
Ari GreenDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.
Peder E Z LarsonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-4183-3634
University of California, San Francisco · USLund University · SEUniversity of Colorado Denver · USUniversity of Hong Kong · HK

Funding

Novel Ultrashort Echo Time Sequences for Brain MRIR21NS089004 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARSON, PEDER ERIC ZUFALL · 2016 to 2017
$436k
Department of Defense Multiple Sclerosis research program MS200272NIH HHS R21-NS089004NINDS NIH HHS R21 NS089004
6 · The paper itself

Abstract

purposeRecent work has shown MRI is able to measure and quantify signals of phospholipid membrane-bound protons associated with myelin in the human brain. This work seeks to develop an improved technique for characterizing this brain ultrashort-

methodsData from ultrashort echo time scans from 16 healthy volunteers with variable flip angles (VFA) were collected and fitted into an advanced regression model to quantify signal fraction, relaxation time, and frequency shift of the ultrashort-

resultsThe fitted components show intra-subject differences of different white matter structures and significantly elevated ultrashort-

conclusionThe significantly different measured components and measured

Indexed as

BrainProtonsHealthy VolunteersHumansMagnetic Resonance ImagingPhantoms, ImagingPhospholipidsPhospholipidsProtonsbrain imagingmulticomponent fit modelmyelinultrashort echo timeUTE

Identifiers

PMID38291598
PMCPMC11076235
OpenAlexW4391394868

What OpenQuestion holds

Textmetadata
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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.