Ultrashort echo time imaging for quantification of hepatic iron overload: Comparison of acquisition and fitting methods via simulations, phantoms, and in vivo data.
R2* quantification
hepatic iron overload
signal models
ultrashort echo time
Journal
Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
27
04
2018
revised:
13
08
2018
accepted:
13
08
2018
pubmed:
26
10
2018
medline:
25
8
2020
entrez:
26
10
2018
Statut:
ppublish
Résumé
Current R2*-MRI techniques for measuring hepatic iron content (HIC) use various acquisition types and fitting models. To evaluate the accuracy and precision of R2*-HIC acquisition and fitting methods. Signal simulations, phantom study, and prospective in vivo cohort. In all, 132 patients (58/74 male/female, mean age 17.7 years). 2D-multiecho gradient-echo (GRE) and ultrashort echo time (UTE) acquisitions at 1.5T. Synthetic MR signals were created to mimic published GRE and UTE methods, using different R2* values (25-2000 s R2* accuracy was determined from the relative error and by linear regression analysis. Precision was evaluated using coefficient of variation (CoV) analysis. In simulations, all models had high R2* accuracy (error <5%) and precision (CoV <10%) for all SNRs, shorter ΔTE (≤0.5 msec), and longer TE UTE with TE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1475-1488.
Sections du résumé
BACKGROUND
Current R2*-MRI techniques for measuring hepatic iron content (HIC) use various acquisition types and fitting models.
PURPOSE
To evaluate the accuracy and precision of R2*-HIC acquisition and fitting methods.
STUDY TYPE
Signal simulations, phantom study, and prospective in vivo cohort.
POPULATION
In all, 132 patients (58/74 male/female, mean age 17.7 years).
FIELD STRENGTH/SEQUENCE
2D-multiecho gradient-echo (GRE) and ultrashort echo time (UTE) acquisitions at 1.5T.
ASSESSMENT
Synthetic MR signals were created to mimic published GRE and UTE methods, using different R2* values (25-2000 s
STATISTICAL TESTS
R2* accuracy was determined from the relative error and by linear regression analysis. Precision was evaluated using coefficient of variation (CoV) analysis.
RESULTS
In simulations, all models had high R2* accuracy (error <5%) and precision (CoV <10%) for all SNRs, shorter ΔTE (≤0.5 msec), and longer TE
DATA CONCLUSION
UTE with TE
LEVEL OF EVIDENCE
2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1475-1488.
Identifiants
pubmed: 30358001
doi: 10.1002/jmri.26325
pmc: PMC6768432
mid: NIHMS1019666
doi:
Substances chimiques
Iron
E1UOL152H7
Types de publication
Comparative Study
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1475-1488Subventions
Organisme : NIDDK NIH HHS
ID : R01 DK088988
Pays : United States
Organisme : NCI NIH HHS
ID : R25 CA023944
Pays : United States
Informations de copyright
© 2018 International Society for Magnetic Resonance in Medicine.
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