Detecting IDH and TERTp mutations in diffuse gliomas using H-MRS with attention deep-shallow networks.

Journal: Computers in biology and medicine
PMID: 39874812

Abstract

BACKGROUND: Preoperative and noninvasive detection of isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase gene promoter (TERTp) mutations in glioma is critical for prognosis and treatment planning. This study aims to develop deep learning classifiers to identify IDH and TERTp mutations using proton magnetic resonance spectroscopy (H-MRS) and a one-dimensional convolutional neural network (1D-CNN) architecture.

Authors

  • Banu Sacli-Bilmez
    Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey. Electronic address: banu.sacli@std.bogazici.edu.tr.
  • Abdullah Bas
    Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey.
  • Ayça Erşen Danyeli
    Department of Pathology, Acibadem University, School of Medicine, Istanbul, Turkey; Center for Neuroradiological Applications and Research, Acibadem University, Istanbul, Turkey.
  • M Cengiz Yakicier
    YoctoSensum Biotechnology, Istanbul, Turkey.
  • M Necmettin Pamir
    Center for Neuroradiological Applications and Research, Acibadem University, Istanbul, Turkey; Department of Neurosurgery, Acibadem University, Istanbul, Turkey.
  • Koray Özduman
    Center for Neuroradiological Applications and Research, Acibadem University, Istanbul, Turkey; Department of Neurosurgery, Acibadem University, Istanbul, Turkey.
  • Alp Dincer
    Center for Neuroradiological Applications and Research, Acibadem University, Istanbul, Turkey; Department of Radiology, Acıbadem University, Istanbul, Turkey.
  • Esin Ozturk-Isik
    Biomedical Engineering Institute, Boğaziçi University, Istanbul, Turkey.

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