Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning.

Journal: Neuro-oncology
PMID: 35788352

Abstract

BACKGROUND: Accurate characterization of glioma is crucial for clinical decision making. A delineation of the tumor is also desirable in the initial decision stages but is time-consuming. Previously, deep learning methods have been developed that can either non-invasively predict the genetic or histological features of glioma, or that can automatically delineate the tumor, but not both tasks at the same time. Here, we present our method that can predict the molecular subtype and grade, while simultaneously providing a delineation of the tumor.

Authors

  • Sebastian R van der Voort
    Biomedical Imaging Group Rotterdam, Departments of Radiology and Nuclear Medicine Medical Informatics, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Fatih Incekara
    Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Maarten M J Wijnenga
    Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
  • Georgios Kapsas
    Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Renske Gahrmann
    Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Joost W Schouten
    Department of Neurosurgery, Brain Tumor Center, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Rishi Nandoe Tewarie
    Department of Neurosurgery, Haaglanden Medical Center, the Hague, the Netherlands.
  • Geert J Lycklama
    Department of Radiology, Haaglanden MC, the Hague, the Netherlands.
  • Philip C De Witt Hamer
    Department of Neurosurgery, Cancer Center Amsterdam, Brain Tumor Center, Amsterdam UMC, Amsterdam, Netherlands.
  • Roelant S Eijgelaar
    Department of Neurosurgery, Cancer Center Amsterdam, Brain Tumor Center, Amsterdam UMC, Amsterdam, Netherlands.
  • Pim J French
    Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
  • Hendrikus J Dubbink
    Department of Pathology, Brain Tumor Center at Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
  • Arnaud J P E Vincent
    Department of Neurosurgery, Brain Tumor Center, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Wiro J Niessen
    Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Martin J van den Bent
    Brain Tumor Center at Erasmus MC Cancer Institute, Rotterdam, Netherlands.
  • Marion Smits
    Department of Radiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, CA, The Netherlands.
  • Stefan Klein

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