Diagnosis of Pituitary Adenoma Biopsies by Ultrahigh Resolution Optical Coherence Tomography Using Neuronal Networks.

Journal: Frontiers in endocrinology
Published Date: Jan 1, 2021

Abstract

OBJECTIVE: Despite advancements of intraoperative visualization, the difficulty to visually distinguish adenoma from adjacent pituitary gland due to textural similarities may lead to incomplete adenoma resection or impairment of pituitary function. The aim of this study was to investigate optical coherence tomography (OCT) imaging in combination with a convolutional neural network (CNN) for objectively identify pituitary adenoma tissue in an setting.

Authors

  • Alexander Micko
    Department of Neurosurgery, Medical University of Vienna, Austria.
  • Fabian Placzek
    Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
  • Roger Fonollà
    Department of Electrical Engineering, Video Coding and Architectures, Eindhoven University of Technology, Eindhoven, Netherlands.
  • Michael Winklehner
    Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Ryan Sentosa
    Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
  • Arno Krause
    Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
  • Greisa Vila
    Division of Endocrinology and Metabolism of the Department of Internal Medicine III, Vienna, Austria.
  • Romana Höftberger
    Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Marco Andreana
    Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
  • Wolfgang Drexler
    Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
  • Rainer A Leitgeb
    Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
  • Angelika Unterhuber
    Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
  • Stefan Wolfsberger
    Department of Neurosurgery, Medical University of Vienna, Austria.

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