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Abstract #3407

Brain tumour differentiation capability of GE-SE EPIK derived MR-parameter combinations

Fabian Küppers1, Seong Dae Yun1, Mohamed Kassem1,2, Christian Filss1,3, Gabriele Stoffels1, Felix M. Mottaghy3,4, M. Eline Kooi2,4, Karl-Josef Langen1,3, Philipp Lohmann1, and N. Jon Shah1,5,6,7
1Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany, 2Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, Netherlands, 3Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany, 4Department of Radiology and Nuclear Medicine, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands, 5Institute of Neuroscience and Medicine 11, Forschungszentrum Jülich, Jülich, Germany, 6JARA – BRAIN – Translational Medicine, RWTH Aachen University, Aachen, Germany, 7Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany

Synopsis

Keywords: Data Processing, Data Analysis, brain tumor, tumor type differentiation, multi-parametric, quantitative MRI

Motivation: GE-SE EPIK provides fast access to multiple MR parameters: T2, T2*, R2’, vCBV and OEF, within 2 minutes of measurement time for full-brain data.

Goal(s): Improve the capability to differentiate different brain tumour types (n=69) using combinations of GE-SE EPIK-derived MR parameters.

Approach: Compare several combinations of the original MR parameters in the form of sum, subtraction, multiplication and division between each of the different tumour types by t-test statistics.

Results: No parameter combination differentiates astrocytoma from oligodendrogliomas; only T2/R2’ differentiates metastasis from glioblastomas. Parameter differences provide the greatest number of significant differences, particularly between metastasis and oligodendrogliomas.

Impact: 10-echo GE-SE EPIK provides fast access to multiple MR-parameters (T2, T2*, R2’, vCBV, OEF). Combinations of GE-SE EPIK-derived MR parameters improve differentiation between brain tumour types, with the greatest potential achieved by taking the difference between each parameter pair.

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Abstract

Keywords