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Abstract #4650

Hyperpolarized 13C metabolic MRI of tumor xenografts in fertilized chicken eggs

Miriam Kirst1, Tobias Lobmeyer2, Raphela A. Ranjan3, Sandra Sühnel1, Victor Kern2, Nadine Setzer1, Luca Nagel1, Geoffrey J. Topping1, Stephan Knecht4, Zumrud Ahmadova4, Senay Karaali4, Ilai Schwartz4, Maximilian Reichert3, Volker Rasche2, and Franz Schilling1,5
1Department of Nuclear Medicine, TUM School of Medicine and Health, TUM University Hospital, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2Core Facility Small Animal MRI, Medical Faculty, Ulm University, Ulm, Germany, 3Clinic and Polyclinic for Internal Medicine II, TUM University Hospital, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 4NVision Imaging Technologies GmbH, Ulm, Germany, 5Munich Institute of Biomedical Engineering, Technical University of Munich, Garching, Germany

Synopsis

Keywords: Hyperpolarized MR (Non-Gas), Hyperpolarized MR (Non-Gas), HET CAM assay, in ovo, patient-derived tumor organoid, tumor metabolism, pyruvate-to-lactate conversion, hyperpolarized 13C metabolic MRI, CSI, bSSFP

Motivation: Fertilized chicken eggs with patient-derived tumor transplants on the chick embryo chorioallantoic membrane (CAM) can provide a time- and cost-efficient environment for developing personalized therapies. Metabolic profiling by hyperpolarized 13C MRI, potentially supporting this, has not yet been tested on this model.

Goal(s): Demonstrate preclinical hyperpolarized 13C MRI of [1-13C]pyruvate-to-lactate conversion in CAM tumor model.

Approach: Establishment of the experimental setup and metabolic 13C MRI of the model using different 13C coil combinations and MR sequences.

Results: [1-13C]pyruvate-to-lactate conversion can be localized in a 3mm murine tumor transplant in ovo using a 3D spectrally-selective bSSFP sequence and 7mm passive 13C booster coil.

Impact: This study shows for the first time hyperpolarized 13C metabolic MRI of a murine tumor transplant in a fertilized chicken egg. A further validation of this method for different patient-derived tumor transplants could yield further insights for personalized medicine.

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Abstract

Keywords