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Abstract #2135

The use of multiparametric brain tumor segmentation for investigating 1H MRSI-detected, fasting-induced ketone body accumulation in glioma

Seyma Alcicek1,2,3,4, Iris Divé2,3,4,5, Ulrich Pilatus1, Vincent Prinz6, Joachim P. Steinbach2,3,4,5, Marie-Thérèse Forster6, Elke Hattingen1,2,3,4, Michael W. Ronellenfitsch2,3,4,5, and Katharina J. Wenger1,2,3,4
1Institute of Neuroradiology, Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany, 2University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany, 3Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany, 4German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, Frankfurt am Main, Germany, 5Dr. Senckenberg Institute of Neurooncology, Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany, 6Department of Neurosurgery, Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany

Synopsis

Keywords: Cancer, Tumor, Nutritional Intervention, MR spectroscopy, Tumor segmentation

Motivation: The evaluation of MR spectroscopy imaging findings with multiparametric brain tumor segmentation might facilitate the understanding of altered tumor metabolism induced by intervention on an individual patient/tumor level.

Goal(s): In this study, we used this approach to elucidate the glioma metabolism under nutritional intervention.

Approach: The concentrations of ketone bodies in brain tumor after 72-hour-fasting were correlated with the volume of glioma sub-regions for 13 brain tumor patients.

Results: The outcome indicates that the accumulation of ketone bodies in solid tumors and necrotic areas after fasting might be a result of neovascularization and the blood-brain barrier compromise.

Impact: Here, we report on the validation of a dedicated, multi-voxel MRSI protocol with fully automated multiparametric segmentation of glioma sub-regions for monitoring fasting-induced changes.

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