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

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 classifi...

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Bibliographic Details
Published inNeurologic clinics Vol. 38; no. 1; p. 95
Main Authors Ly, K Ina, Wen, Patrick Y, Huang, Raymond Y
Format Journal Article
LanguageEnglish
Published United States 01.02.2020
Subjects
Gliomas
MGMT
MRI
Machine learning
IDH
1p/19q codeletion
Radiogenomics
Medulloblastomas
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Summary: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.
ISSN:1557-9875
DOI:10.1016/j.ncl.2019.08.004