Limits of Fat Quantification in the Presence of Iron Overload.

Humans Iron Overload / diagnostic imaging Liver / diagnostic imaging Magnetic Resonance Imaging Phantoms, Imaging Prospective Studies Reproducibility of Results
PDFF R2* chemical shift encoded magnetic resonance imaging fat iron liver proton density fat fraction

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:
10 2021
Historique:
revised: 09 03 2021
received: 30 11 2020
accepted: 10 03 2021
pubmed: 31 3 2021
medline: 30 9 2021
entrez: 30 3 2021
Statut: ppublish

Résumé

Chemical shift encoded magnetic resonance imaging (CSE-MRI)-based tissue fat quantification is confounded by increased R2* signal decay rate caused by the presence of excess iron deposition. To determine the upper limit of R2* above which it is no longer feasible to quantify proton density fat fraction (PDFF) reliably, using CSE-MRI. Prospective. Cramér-Rao lower bound (CRLB) calculations, Monte Carlo simulations, phantom experiments, and a prospective study in 26 patients with known or suspected liver iron overload. Multiecho gradient echo at 1.5 T and 3.0 T. CRLB calculations were used to develop an empirical relationship between the maximum R2* value above which PDFF estimation will achieve a desired number of effective signal averages. A single voxel multi-TR, multi-TE stimulated echo acquisition mode magnetic resonance spectroscopy acquisition was used as a reference standard to estimate PDFF. Reconstructed PDFF and R2* maps were analyzed by one analyst using multiple regions of interest drawn in all nine Couinaud segments. None. Simulations, phantom experiments, and in vivo measurements demonstrated unreliable PDFF estimates with increased R2*, with PDFF errors as large as 20% at an R2* of 1000 s We successfully developed a theoretically-based empirical formula that may provide an easily calculable guideline to identify R2* values above which PDFF is not reliable in research and clinical applications using CSE-MRI to quantify PDFF in the presence of iron overload. 1 TECHNICAL EFFICACY STAGE: 1.

Sections du résumé

BACKGROUND
Chemical shift encoded magnetic resonance imaging (CSE-MRI)-based tissue fat quantification is confounded by increased R2* signal decay rate caused by the presence of excess iron deposition.
PURPOSE
To determine the upper limit of R2* above which it is no longer feasible to quantify proton density fat fraction (PDFF) reliably, using CSE-MRI.
STUDY TYPE
Prospective.
POPULATION
Cramér-Rao lower bound (CRLB) calculations, Monte Carlo simulations, phantom experiments, and a prospective study in 26 patients with known or suspected liver iron overload.
FIELD STRENGTH/SEQUENCE
Multiecho gradient echo at 1.5 T and 3.0 T.
ASSESSMENT
CRLB calculations were used to develop an empirical relationship between the maximum R2* value above which PDFF estimation will achieve a desired number of effective signal averages. A single voxel multi-TR, multi-TE stimulated echo acquisition mode magnetic resonance spectroscopy acquisition was used as a reference standard to estimate PDFF. Reconstructed PDFF and R2* maps were analyzed by one analyst using multiple regions of interest drawn in all nine Couinaud segments.
STATISTICAL TESTS
None.
RESULTS
Simulations, phantom experiments, and in vivo measurements demonstrated unreliable PDFF estimates with increased R2*, with PDFF errors as large as 20% at an R2* of 1000 s
DATA CONCLUSION
We successfully developed a theoretically-based empirical formula that may provide an easily calculable guideline to identify R2* values above which PDFF is not reliable in research and clinical applications using CSE-MRI to quantify PDFF in the presence of iron overload.
LEVEL OF EVIDENCE
1 TECHNICAL EFFICACY STAGE: 1.

Identifiants

DOI: 10.1002/jmri.27611 PMID: 33783066 PMC: PMC8440489
pubmed: 33783066
doi: 10.1002/jmri.27611
pmc: PMC8440489
mid: NIHMS1731357
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1166-1174

Subventions

Organisme : NIDDK NIH HHS
ID : K24 DK102595
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK117354
Pays : United States
Organisme : NIBIB NIH HHS
ID : R44 EB025729
Pays : United States
Organisme : NIBIB NIH HHS
ID : R41 EB025729
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK100651
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK088925
Pays : United States

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2021 International Society for Magnetic Resonance in Medicine.

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Auteurs

Timothy J Colgan (TJ)

Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
ORCID: 0000-0002-4400-7525

Ruiyang Zhao (R)

Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Wisconsin, USA.

Nathan T Roberts (NT)

Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Wisconsin, USA.

Diego Hernando (D)

Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.
ORCID: 0000-0002-0016-0317

Scott B Reeder (SB)

Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.
Department of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA.
Department of Medicine, University of Wisconsin, Madison, Wisconsin, USA.
Department of Emergency Medicine, University of Wisconsin, Madison, Wisconsin, USA.
ORCID: 0000-0003-4728-8171

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Limits of Fat Quantification in the Presence...
questionsmedicales.fr › Maladies métaboliques et nutritionnelles › Maladies métaboliques › Troubles du métabolisme du fer › Surcharge en fer › Limits of Fat Quantification in the Presence...
questionsmedicales.fr › Système digestif › Foie › Limits of Fat Quantification in the Presence...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Limits of Fat Quantification in the Presence...
questionsmedicales.fr › Équipement et fournitures › Fantômes en imagerie › Limits of Fat Quantification in the Presence...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études prospectives › Limits of Fat Quantification in the Presence...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › Limits of Fat Quantification in the Presence...