Diagnostic performance of Gd-EOB-DTPA-enhanced MRI for evaluation of liver dysfunction: a multivariable analysis of 3T MRI sequences

Niklas Verloh; Kirsten Utpatel; Florian Zeman; Claudia Fellner; Hans J. Schlitt; Martina Müller; Christian Stroszczynski; Matthias Evert; Philipp Wiggermann; Michael Haimerl

doi:10.18632/oncotarget.26368

Oncotarget

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

Its scope is unique. The term "oncotarget" encompasses all molecules, pathways, cellular functions, cell types, and even tissues that can be viewed as targets relevant to cancer as well as other diseases. The term was introduced in the inaugural Editorial, Introducing Oncotarget.

As of January 1, 2022, Oncotarget has shifted to a continuous publishing model. Papers will now be published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed.

Subscribe to receive alerts once a paper has been published by Oncotarget.

Impact Journals, LLC is the publisher of Oncotarget: www.impactjournals.com.

Impact Journals is a member of the Wellcome Trust List of Compliant Publishers.

Impact Journals is a member of the Society for Scholarly Publishing.

On December 23, 2022, Oncotarget server experienced a DDoS attack. As a result, Oncotarget site was inaccessible for a few hours. Oncotarget team swiftly dealt with the situation and took it under control. This malicious action will be reported to the FBI.

Research Papers:

Diagnostic performance of Gd-EOB-DTPA-enhanced MRI for evaluation of liver dysfunction: a multivariable analysis of 3T MRI sequences

Niklas Verloh _, Kirsten Utpatel, Florian Zeman, Claudia Fellner, Hans J. Schlitt, Martina Müller, Christian Stroszczynski, Matthias Evert, Philipp Wiggermann and Michael Haimerl

PDF | HTML | Supplementary Files | How to cite

Oncotarget. 2018; 9:36371-36378. https://doi.org/10.18632/oncotarget.26368

Metrics: PDF 1082 views | HTML 1547 views | ?

Abstract

Niklas Verloh1, Kirsten Utpatel2, Florian Zeman3, Claudia Fellner1, Hans J. Schlitt4, Martina Müller5, Christian Stroszczynski1, Matthias Evert2, Philipp Wiggermann1,6 and Michael Haimerl1

1Department of Radiology, University Hospital Regensburg, Regensburg, Germany

2Department of Pathology, University Regensburg, Regensburg, Germany

3Center for Clinical Trials, University Hospital Regensburg, Regensburg, Germany

4Department of Surgery, University Hospital Regensburg, Regensburg, Germany

5Department of Internal Medicine I, Gastroenterology, Endocrinology, Rheumatology, and Infectious Diseases, Regensburg University Hospital, Regensburg, Germany

6Department of Radiology and Nuclear Medicine, Hospital Braunschweig, Braunschweig, Germany

Correspondence to:

Niklas Verloh, email: [email protected]

Keywords: magnetic resonance imaging; liver; abdomen; MELD score; multiparametric examination

Received: August 28, 2018 Accepted: November 05, 2018 Published: November 20, 2018

ABSTRACT

Objective: The aim of this study was to evaluate the diagnostic performance of a multiparametric gadolinium ethoxybenzyl-diethylenetriaminepentaacetic acid (Gd-EOB-DTPA)-enhanced MRI examination for the estimation of liver dysfunction classified by the Model for End-Stage Liver Disease (MELD) score.

Results: Liver dysfunction can be assessed by different methods. In a logistic regression analysis, T1- and T2-weighted images were affected by impaired liver function. In the assessment of liver dysfunction, the reduction rate in T1 mapping sequences showed a significant correlation in simple and multiple logistic regression.

Conclusion: Changes in Gd-EOB-DTPA-enhanced MRI between plain images and images obtained during the hepatobiliary phase allowed good prediction of liver dysfunction, especially when using T1 mapping sequences.

Materials and Methods: A total of 199 patients underwent contrast-enhanced MRI with a hepatocyte-specific contrast agent at 3T. In the multivariable analysis, the full range of available MRI sequences was used to estimate the liver dysfunction of patients with various MELD scores.

All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 26368

Publication Alerts

Research Papers:

Diagnostic performance of Gd-EOB-DTPA-enhanced MRI for evaluation of liver dysfunction: a multivariable analysis of 3T MRI sequences

Abstract