Fundamentals of neuropathology: Introduction to neuropathology and molecular diagnostics

Sonika Dahiya, Shakti Ramkissoon

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Classification of central nervous system tumors has historically relied primarily upon morphologic features identified by light microscopy; however, in the past decade, integration of high-throughput genomic testing into routine clinical workflows has refined the approach to brain tumor diagnostics. In this chapter, we explore tumor classification from traditional microscope-based approaches to currently available methodologies, including genomic profiling, thereby introducing the concept of an integrated diagnosis. We begin with a discussion of the histologic assessment of brain tumors, which is often the first data to be reported after a tumor surgery. This is followed by a discussion of molecular profiling that is used to further classify these tumors, guide prognosis, and predict response to therapy and returns in the weeks following surgery. Finally, we review a series of common case scenarios and integrate the histologic and molecular data into a final integrated diagnosis that clinicians can use to help manage and counsel these patients.

Original languageEnglish
Title of host publicationNeuro-Oncology for the Clinical Neurologist
Number of pages17
ISBN (Electronic)9780323694940
StatePublished - Jan 1 2020


  • Brain tumor
  • Central nervous system tumors
  • Low-grade glioma
  • Malignant glioma
  • Molecular classification
  • Neuropathology


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