Detection and localization of hyperfunctioning parathyroid glands on [F]fluorocholine PET/ CT using deep learning - model performance and comparison to human experts.

Journal: Radiology and oncology
Published Date: Dec 13, 2022

Abstract

BACKGROUND: In the setting of primary hyperparathyroidism (PHPT), [F]fluorocholine PET/CT (FCH-PET) has excellent diagnostic performance, with experienced practitioners achieving 97.7% accuracy in localising hyperfunctioning parathyroid tissue (HPTT). Due to the relative triviality of the task for human readers, we explored the performance of deep learning (DL) methods for HPTT detection and localisation on FCH-PET images in the setting of PHPT.

Authors

  • Leon Jarabek
    Department of Radiology, General Hospital Novo Mesto, Novo Mesto Slovenia.
  • Jan Jamsek
    Department for Nuclear Medicine, University Medical Centre Ljubljana, Slovenia.
  • Anka Cuderman
    Department for Nuclear Medicine, University Medical Centre Ljubljana, Slovenia.
  • Sebastijan Rep
    Department for Nuclear Medicine, University Medical Centre Ljubljana, Slovenia.
  • Marko Hočevar
    University of Ljubljana, Faculty of Mechanical Engineering, Laboratory for hydraulic machines LVTS, Ljubljana, Slovenia.
  • Tomaz Kocjan
    Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Mojca Jensterle
    Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Ziga Spiclin
    Faculty of Electrical Engineering, University of Ljubljana, Ljubljana Slovenia.
  • Ziga Macek Lezaic
    Rožna dolina, c. VI/8, Ljubljana, Slovenia.
  • Filip Cvetko
    Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Luka Lezaic
    Department for Nuclear Medicine, University Medical Centre Ljubljana, Slovenia.

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