Quantitative analysis of liver function: 3D variable-flip-angle versus Look-Locker T1 relaxometry in hepatocyte-specific contrast-enhanced liver MRI.

Liver T1 quantification gadolinium DTPA magnetic resonance imaging (MRI)

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 03 07 2021
accepted: 12 11 2021
entrez: 4 4 2022
pubmed: 5 4 2022
medline: 5 4 2022
Statut: ppublish

Résumé

Gd-EOB-DTPA, a liver specific contrast agent with T1- shortening effects, is routinely used in clinical magnetic resonance imaging (MRI) for detection and characterization of focal liver lesions. Gd-EOB-DTPA-enhanced T1 relaxometry has recently received increasing attention as a tool for the quantitative analyses of liver function. However, this T1 relaxometry technique is limited due to various artifacts caused by B1 inhomogeneities and motion artifacts. This study aims to compare two different T1 relaxometry techniques for evaluating liver function as determined using a Ninety-six patients underwent gadoxetic acid-enhanced MRI of the liver at 3T and a T1 relaxometry measurements based on MR sequences, VFA, and LL show a constant change in line with impaired liver function progression. Simple regression models showed a log-linear correlation of Both T1 relaxometry sequences are suitable for the evaluation of liver function based on

Sections du résumé

Background UNASSIGNED
Gd-EOB-DTPA, a liver specific contrast agent with T1- shortening effects, is routinely used in clinical magnetic resonance imaging (MRI) for detection and characterization of focal liver lesions. Gd-EOB-DTPA-enhanced T1 relaxometry has recently received increasing attention as a tool for the quantitative analyses of liver function. However, this T1 relaxometry technique is limited due to various artifacts caused by B1 inhomogeneities and motion artifacts. This study aims to compare two different T1 relaxometry techniques for evaluating liver function as determined using a
Methods UNASSIGNED
Ninety-six patients underwent gadoxetic acid-enhanced MRI of the liver at 3T and a
Results UNASSIGNED
T1 relaxometry measurements based on MR sequences, VFA, and LL show a constant change in line with impaired liver function progression. Simple regression models showed a log-linear correlation of
Conclusions UNASSIGNED
Both T1 relaxometry sequences are suitable for the evaluation of liver function based on

Identifiants

pubmed: 35371945
doi: 10.21037/qims-21-597
pii: qims-12-04-2509
pmc: PMC8923846
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2509-2522

Informations de copyright

2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-21-597/coif). DN is an employee of MR Applications Predevelopment, Siemens Healthineers, Erlangen, Germany. The other authors have no conflicts of interest to declare.

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Auteurs

Niklas Verloh (N)

Department of Radiology, University Hospital Regensburg, Regensburg, Germany.

Irene Fuhrmann (I)

Department of Radiology, University Hospital Regensburg, Regensburg, Germany.

Claudia Fellner (C)

Department of Radiology, University Hospital Regensburg, Regensburg, Germany.

Dominik Nickel (D)

MR Applications Predevelopment, Siemens Healthineers, Erlangen, Germany.

Florian Zeman (F)

Center for Clinical Trials, University Hospital Regensburg, Regensburg, Germany.

Arne Kandulski (A)

Department of Internal Medicine I, University Hospital Regensburg, Regensburg, Germany.

Matthias Hornung (M)

Department of Surgery, University Hospital Regensburg, Regensburg, Germany.

Christian Stroszczynski (C)

Department of Radiology, University Hospital Regensburg, Regensburg, Germany.

Philipp Wiggermann (P)

Department of Radiology, Hospital Braunschweig, Braunschweig, Germany.

Michael Haimerl (M)

Department of Radiology, University Hospital Regensburg, Regensburg, Germany.

Classifications MeSH