Evidence map›Paper›PMID 32662904›Full record

ArticleMagnetic resonance in medicine2020

Ultrashort echo time quantitative susceptibility mapping (UTE-QSM) for detection of hemosiderin deposition in hemophilic arthropathy: A feasibility study.

Hyungseok Jang, Annette von Drygalski, Jonathan Wong, Jenny Y Zhou, Peter Aguero, Xing Lu, Xin Cheng, Scott T Ball, Yajun Ma, Eric Y Chang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  12. QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023
    Review
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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 3 institutions in 2 countries.

Hyungseok JangDepartment of Radiology, University of California San Diego, San Diego, California, USA.ORCID 0000-0002-3597-9525
Annette von DrygalskiDepartment of Medicine, University of California San Diego, San Diego, California, USA.
Jonathan WongDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Jenny Y ZhouDepartment of Medicine, University of California San Diego, San Diego, California, USA.
Peter AgueroDepartment of Medicine, University of California San Diego, San Diego, California, USA.
Xing LuDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Xin ChengDepartment of Histology and Embryology, Jinan University, Guangzhou, China.
Scott T BallOrthopedic Surgery, University of California San Diego, San Diego, California, USA.
Yajun MaDepartment of Radiology, University of California San Diego, San Diego, California, USA.ORCID 0000-0003-0830-9232
Eric Y ChangDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Jiang DuDepartment of Radiology, University of California San Diego, San Diego, California, USA.
University of California San Diego · USJinan University · CNUniversity of San Diego · US

Funding

Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of BoneR01AR068987 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2024
$4.9M
Quantitative UTE MR Imaging: Sensitive Biomarkers for OsteoarthritisR01AR062581 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2013 to 2022
$4.1M
UTE Magnetic Resonance Imaging: New Biomarkers for Multiple SclerosisR01NS092650 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2019
$1.9M
Three-dimensional Ultrashort Echo Time Magnetic Resonance Imaging of EnthesesR01AR075825 · NIAMS · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI CHANG, ERIC Y · 2019 to 2023
$1.8M
Three-Dimensional UTE Magnetic Resonance Imaging of the Osteochondral JunctionR21AR075851 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MA, YAJUN · 2020 to 2021
$376k
Quantitative Measurement of Joint pH with Magnetic Resonance ImagingI01RX002604 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2018 to 2022
–
Quantitative Magnetic Resonance Imaging of Human Rotator Cuff TendonI01CX001388 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2016 to 2024
–
CSRD VA I01 CX001388NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR068987NIAMS NIH HHS R01 AR075825NIAMS NIH HHS R21 AR075851NINDS NIH HHS R01 NS092650RRD VA I01 RX002604
6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the feasibility of ultrashort echo time quantitative susceptibility mapping (UTE-QSM) for assessment of hemosiderin deposition in the joints of hemophilic patients.

methodsThe UTE-QSM technique was based on three sets of dual-echo 3D UTE Cones data acquired with TEs of 0.032/2.8, 0.2/3.6, and 0.4/4.4 ms. The images were processed with iterative decomposition of water and fat with echo asymmetry and least-squares estimation to estimate the B

resultsUTE-QSM successfully yielded tissue susceptibility maps of joints in both volunteers and patients. Multiple regions with high susceptibility over 1 ppm were detected in the affected joints of hemophilic patients, while no localized regions with high susceptibility were detected in asymptomatic healthy volunteers. Histology confirmed the presence of iron in regions where high susceptibility was detected by UTE-QSM.

conclusionThe UTE-QSM technique can detect hemosiderin deposition in the joint, and provides a potential sensitive biomarker for the diagnosis and prognosis of hemophilic arthropathy.

Indexed as

HemosiderinJoint DiseasesFeasibility StudiesHumansImaging, Three-DimensionalMagnetic Resonance ImagingHemosiderinanklearthropathyhemophiliakneeQSMsusceptibilityUTE

Identifiers

PMID32662904
PMCPMC7895482
OpenAlexW3043465002

What OpenQuestion holds

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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.