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Abstract #0986

Subclassification of Brain Tumors Based on Ex Vivo MRS Metabolic Profiles

Torill Eidhammer Sjbakk1,2, Sasha Gulati3, Michel Gulati1, Steinar Lundgren1,4, Sverre Helge Torp5,6, Ingrid Susann Gribbestad1

1Dept. of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; 2St.Olavs University Hospital, Trondheim, Norway; 3Dept. of Neurosurgery, St. Olavs University Hospital, Trondheim, Norway; 4Dept. of Oncology, St. Olavs University Hospital, Trondheim, Norway; 5Dept. of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway; 6Dept. of Pathology and Medical Genetics, St.Olavs University Hospital, Trondheim, Norway


The main groups of brain tumors can be classified using MR spectroscopy. Subclassification of these groups could provide more unique and individual biological information of value for patient treatment. HR MAS MR spectra were obtained from tumor tissue samples from patients with brain metastases and meningiomas. Spin echo (TE 32) pulse spectra were examined using principal component analysis and partial least square regression analysis and compared with histopathological data. Using HR MAS metabolic profiles, a subclassification of meningiomas correlating to histopathological grading was found. The spectra of brain metastases showed a subgroup of malignant melanoma metastases.

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