Oncotarget

Research Papers:

Value of quantitative magnetic resonance imaging T1-relaxometry in predicting contrast-enhancement in glioblastoma patients

Elke Hattingen _, Andreas Müller, Alina Jurcoane, Burkhard Mädler, Philip Ditter, Hans Schild, Ulrich Herrlinger, Martin Glas and Sied Kebir

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Oncotarget. 2017; 8:53542-53551. https://doi.org/10.18632/oncotarget.18612

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Abstract

Elke Hattingen1,*, Andreas Müller1,*, Alina Jurcoane1, Burkhard Mädler2, Philip Ditter1, Hans Schild1, Ulrich Herrlinger3, Martin Glas3,4,5,6,* and Sied Kebir3,4,6,*

1Neuroradiology, Department of Radiology, University Hospital Bonn, Bonn, Germany

2Philips GmbH, UB Healthcare, Hamburg, Germany

3Division of Clinical Neurooncology, Department of Neurology, University of Bonn Medical Center, Bonn, Germany

4Stem Cell Pathologies Group, Institute of Reconstructive Neurobiology, Bonn, Germany

5Clinical Cooperation Unit Neurooncology, MediClin Robert Janker Klinik, Bonn, Germany

6Division of Clinical Neurooncology, Department of Neurology, University of Essen Medical Center, Essen, Germany

*These authors have contributed equally to this work

Correspondence to:

Elke Hattingen, email: elke.hattingen@ukb.uni-bonn.de

Keywords: T1-mapping, quantitative MRI, BBB damage, glioblastoma, T1-relaxometry

Received: February 14, 2017    Accepted: May 22, 2017    Published: June 27, 2017

SUMMARIZING THE IMPORTANCE OF THE STUDY

The repetitive usage of gadolinium-based contrast agents (GBCA) is critical for magnetic resonance imaging (MRI) evaluation of tumor burden in glioblastoma patients. It is also a crucial tool for determination of radiographical response to treatment. GBCA injection, however, comes with a 2.4% rate of adverse events including life-threatening conditions such as nephrogenic systemic fibrosis (NSF). Moreover, GBCA have been shown to be deposited in brain tissue of patients even with an intact blood-brain barrier (BBB). The present study explores quantitative T1 relaxometry as an alternative non-invasive imaging technique detection of tumor burden and determination of radiographical response. This technique exploits specific properties of brain tissue with impaired BBB. With a sensitivity and specificity as high as 86% and 80%, respectively, quantitative T1-relaxometry allows for detecting contrast-enhancing areas without the use of GBCA. This method could make it unnecessary to subject patients to the risk of adverse events associated with the use of GBCA. Nonetheless, a large-scale analysis is needed to confirm our findings.

ABSTRACT

Background: Gadolinium-based contrast agents (GBCA) are crucial for magnetic resonance imaging (MRI)-based evaluation of tumor burden in glioblastoma (GBM). Serious adverse events of GBCA, even though uncommon, and gadolinium deposition in brain tissue could be avoided by novel imaging techniques not requiring GBCA. Altered tissue composition in areas with impaired blood-brain-barrier also alters the quantified T1 relaxation time (qT1), so that qT1 analysis could replace GBCA-based MRI for the analysis of tumor burden and response.

Methods: As a part of a prospective pilot MRI-relaxometry trial, patients with newly-diagnosed GBM who relapsed under standard radiochemotherapy were selected for this study. At recurrence, subtraction of qT1 maps pre and post-GBCA application (ΔqT1 maps) was used to determine areas of contrast-enhancement. With the contrast-enhancement on ΔqT1 maps as reference, ROC analysis served to detect an optimal qT1 cut-off on qT1 maps prior to GBCA to distinguish between contrast-enhancing tissue and its surroundings.

Results: Ten patients were included. A qT1 value >2051ms predicted contrast-enhancing tumor tissue with a sensitivity of 86% and specificity of 80% (AUC, 0.92; p<0.0001). Interestingly, qT1 prolongation >2051 ms that did not overlap with contrast-enhancing area transformed into contrast-enhancement later on (n=4).

Conclusion: T1-relaxometry may be a useful technique to assess tissue properties equivalent to contrast-enhancement without the need for GBCA application. It may also provide information on sites with future tumor progression. Nonetheless, large-scale studies are needed to confirm these findings.


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