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Abstract #0932

Glioma Genetic Diagnosis Software for Detection of IDH and TERTp Mutations based on 1H MR Spectroscopy and Mass Spectrometry

Abdullah Bas1, Banu Sacli-Bilmez1, Gokce Hale Hatay1, Alpay Ozcan2,3, Cansu Levi4, Ayca Ersen Danyeli3,5, Ozge Can3,6, Cengiz Yakicier3,7, M.Necmettin Pamir3,8, Koray Ozduman3,8, Alp Dincer3,9, and Esin Ozturk-Isik1,3
1Institute of Biomedical Engineering, Bogazici University, İstanbul, Turkey, 2Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 3Center for Neuroradiological Applications and Reseach, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 4Department of Medical Biochemistry, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 5Department of Medical Pathology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 6Department of Medical Engineering, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 7Department of Molecular Biology and Genetics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 8Department of Neurosurgery, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 9Department of Radiology, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey

Glioma Genetic Diagnosis Software, a clinical decision support tool for non-invasive detection of isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase promoter (TERTp) mutations in gliomas using proton magnetic resonance spectroscopy (1H-MRS) and liquid chromatography-mass spectrometry (LC-MS/MS), was developed in this study. The machine-learning models were trained with the data of 237 gliomas. IDH mutation was identified with 87.04% and of 92.70% accuracies, and TERTp mutation in IDH wildtype gliomas was identified with 87.53% and 85.96% accuracies, using 1H-MRS and MS, respectively. The software provides data visualization and enables the users to train their own models.

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