Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

Journal: Neuro-oncology
Published Date: Apr 1, 2022

Abstract

BACKGROUND: Diagnostic classification of diffuse gliomas now requires an assessment of molecular features, often including IDH-mutation and 1p19q-codeletion status. Because genetic testing requires an invasive process, an alternative noninvasive approach is attractive, particularly if resection is not recommended. The goal of this study was to evaluate the effects of training strategy and incorporation of biologically relevant images on predicting genetic subtypes with deep learning.

Authors

  • Julia Cluceru
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
  • Yannet Interian
    Data Analytic Program, University of San Francisco, San Francisco, California.
  • Joanna J Phillips
    Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
  • Annette M Molinaro
    Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Tracy L Luks
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
  • Paula Alcaide-Leon
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
  • Marram P Olson
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
  • Devika Nair
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
  • Marisa LaFontaine
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
  • Anny Shai
    Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
  • Pranathi Chunduru
    Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
  • Valentina Pedoia
    Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.
  • Javier E Villanueva-Meyer
    1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, L-352, San Francisco, CA 94143.
  • Susan M Chang
    Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
  • Janine M Lupo
    Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA; UCSF/UC Berkeley Graduate Group in Bioengineering, USA. Electronic address: janine.lupo@ucsf.edu.

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