Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm.

Journal: Clinical cancer research : an official journal of the American Association for Cancer Research
PMID: 31548344

Abstract

PURPOSE: Patients with 1p/19q codeleted low-grade glioma (LGG) have longer overall survival and better treatment response than patients with 1p/19q intact tumors. Therefore, it is relevant to know the 1p/19q status. To investigate whether the 1p/19q status can be assessed prior to tumor resection, we developed a machine learning algorithm to predict the 1p/19q status of presumed LGG based on preoperative MRI.

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 Kapas
    Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Mayke Gardeniers
    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.
  • Martijn P A Starmans
    Biomedical Imaging Group Rotterdam, Departments of Radiology and Nuclear Medicine Medical Informatics, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Rishie Nandoe Tewarie
    Department of Neurosurgery, Haaglanden MC, the Hague, the Netherlands.
  • Geert J Lycklama
    Department of Radiology, Haaglanden MC, the Hague, the 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.
  • Martin J van den Bent
    Brain Tumor Center at Erasmus MC Cancer Institute, Rotterdam, 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.
  • Stefan Klein
  • Marion Smits
    Department of Radiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, CA, The Netherlands.

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