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 was developed for
noninvasive detection of IDH and TERTp mutations in gliomas. The
machine-learning models in the tool were trained with proton magnetic resonance
spectroscopy and mass spectrometry data of 237 gliomas.
Figure 3: Visualization of
the data.
Table 1: Performance metrics of the
default models in the modules
in Normal User part (*Due to class imbalance, synthetic data was generated with
ADASYN)