Imaging of Central Nervous System Tumors Based on the 2016 World Health Organization Classification

Neurol Clin. 2020 Feb;38(1):95-113. doi: 10.1016/j.ncl.2019.08.004. Epub 2019 Nov 7.


The 2016 World Health Organization Classification of Tumors of the Central Nervous System (CNS) incorporated well-established molecular markers known to drive tumorigenesis and tumor behavior into the existing classification of CNS tumors based on histopathologic appearance. This integrated classification system has led to a major restructuring of the diffuse gliomas. In addition, it resulted in the categorization of medulloblastomas into four distinct molecular subgroups. Radiogenomic studies have revealed key imaging differences between certain genetic groups and may aid in the diagnosis, longitudinal assessment of treatment response, and evaluation of tumor recurrence in patients with brain tumors.

Keywords: 1p/19q codeletion; Gliomas; IDH; MGMT; MRI; Machine learning; Medulloblastomas; Radiogenomics.

Publication types

  • Review

MeSH terms

  • Brain Neoplasms / classification*
  • Brain Neoplasms / diagnostic imaging*
  • Brain Neoplasms / genetics
  • Central Nervous System Neoplasms / classification
  • Central Nervous System Neoplasms / diagnostic imaging
  • Central Nervous System Neoplasms / genetics
  • Glioma / classification
  • Glioma / diagnostic imaging
  • Glioma / genetics
  • Humans
  • Magnetic Resonance Imaging / classification*
  • Magnetic Resonance Imaging / methods
  • Mutation / genetics
  • Neoplasm Recurrence, Local / classification
  • Neoplasm Recurrence, Local / diagnostic imaging
  • Neoplasm Recurrence, Local / genetics
  • World Health Organization*