Evidence map›Paper›PMID 36871432›Full record

ArticleJournal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)2023

High-resolution 3D ultra-short echo time MRI with Rosette k-space pattern for brain iron content mapping.

Xin Shen, Ali Caglar Özen, Humberto Monsivais, Antonia Susnjar, Serhat Ilbey, Wei Zheng, Yansheng Du, Mark Chiew, Uzay Emir

Open access · greenAbstract read
In one paragraph

Article in Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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  7. 3D ultra-short echo timeResearch square · 2024
    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

9 authors at 5 institutions in 3 countries.

Xin ShenWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Ali Caglar ÖzenDepartment of Radiology, Medical Physics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Humberto MonsivaisSchool of Health Sciences, Purdue University, West Lafayette, IN, USA.
Antonia SusnjarWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Serhat IlbeyDepartment of Radiology, Medical Physics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Wei ZhengSchool of Health Sciences, Purdue University, West Lafayette, IN, USA.
Yansheng DuDepartment of Neurology, School of Medicine, Indiana University, Bloomington, IN, USA.
Mark ChiewWellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
Uzay EmirWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; School of Health Sciences, Purdue University, West Lafayette, IN, USA. Electronic address: uemir@purdue.edu.
Purdue University West Lafayette · USIndiana University Bloomington · USUniversity Medical Center Freiburg · DEUniversity of Freiburg · DEUniversity of Oxford · GB

Funding

3T MRI Scanner dedicated to Life Sciences ResearchS10OD012336 · OD · PURDUE UNIVERSITY · PI DYDAK, ULRIKE · 2015 to 2015
$2.0M
NIH HHS S10 OD012336
6 · The paper itself

Abstract

backgroundThe iron concentration increases during normal brain development and is identified as a risk factor for many neurodegenerative diseases, it is vital to monitor iron content in the brain non-invasively. PURPOSE: This study aimed to quantify in vivo brain iron concentration with a 3D rosette-based ultra-short echo time (UTE) magnetic resonance imaging (MRI) sequence.

methodsA cylindrical phantom containing nine vials of different iron concentrations (iron (II) chloride) from 0.5 millimoles to 50 millimoles and six healthy subjects were scanned using 3D high-resolution (0.94 ×0.94 ×0.94 mm

resultsIron-related hyperintense signals (i.e., positive contrast) were detected based on the phantom scan, and were used to establish an association between iron concentration and signal intensity. The signal intensities from in vivo scans were then converted to iron concentrations based on the association. The deep brain structures, such as the substantia nigra, putamen, and globus pallidus, were highlighted after the conversion, which indicated potential iron accumulations.

conclusionThis study suggested that T

Indexed as

IronMagnetic Resonance ImagingBrainBrain MappingContrast MediaHumansContrast MediaIronBrain iron quantificationHigh resolutionRosette trajectoryUltra-short echo time

Identifiers

PMID36871432
PMCPMC10107748
OpenAlexW4322724101

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.