Hybrid 11C-MET PET/MRI Combined With "Machine Learning" in Glioma Diagnosis According to the Revised Glioma WHO Classification 2016.

Journal: Clinical nuclear medicine
PMID: 30516675

Abstract

PURPOSE: With the advent of the revised WHO classification from 2016, molecular features, including isocitrate dehydrogenase (IDH) mutation have become important in glioma subtyping. This pilot trial analyzed the potential for C-methionine (MET) PET/MRI in classifying glioma according to the revised WHO classification using a machine learning model.

Authors

  • Sied Kebir
    Division of Clinical Neurooncology, Department of Neurology, University of Bonn Medical Center, Germany.
  • Manuel Weber
  • Lazaros Lazaridis
  • Cornelius Deuschl
    Institute of Diagnostic and Interventional Radiology and Neuroradiology, Departments of.
  • Teresa Schmidt
  • Christoph Mönninghoff
    Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
  • Kathy Keyvani
    Neurosurgery.
  • Lale Umutlu
    Institute of Diagnostic and Interventional Radiology and Neuroradiology, Departments of.
  • Daniela Pierscianek
  • Michael Forsting
    Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstraße 55, 45147, Essen, Germany.
  • Ulrich Sure
  • Martin Stuschke
    Radiotherapy, and.
  • Christoph Kleinschnitz
    Neurology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
  • Björn Scheffler
    Stem Cell Pathologies Group, Institute of Reconstructive Neurobiology, University of Bonn Medical Center, Germany.
  • Patrick M Colletti
    From the Department of Radiology, Keck School of Medicine of USC, 1500 San Pablo St, Los Angeles, CA 90033.
  • Domenico Rubello
    Nuclear Medicine Unit, Santa Maria della Misericordia Hospital, Rovigo, Italy. Electronic address: domenico.rubello@libero.it.
  • Christoph Rischpler
  • Martin Glas
    Division of Clinical Neurooncology, Department of Neurology, University of Bonn Medical Center, Germany.

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