Journal
NEUROLOGIC CLINICS
Volume 38, Issue 1, Pages 95-+Publisher
W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.ncl.2019.08.004
Keywords
Gliomas; Medulloblastomas; MRI; IDH; 1p/19q codeletion; MGMT; Machine learning; Radiogenomics
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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.
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