Imaging patterns of toxic and metabolic brain disorders

Arthur M. de Oliveira, Matheus V. Paulino, Ana P.F. Vieira, Alexander M. McKinney, Antonio J. da Rocha, Germana T. Dos Santos, Claudia da Costa Leite, Luis F.de Souza Godoy, Leandro T. Lucato

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Toxic and metabolic brain disorders are relatively uncommon diseases that affect the central nervous system, but they are important to recognize as they can lead to catastrophic outcomes if not rapidly and properly managed. Imaging plays a key role in determining the most probable diagnosis, pointing to the next steps of investigation, and providing prognostic information. The majority of cases demonstrate bilateral and symmetric involvement of structures at imaging, affecting the deep gray nuclei, cortical gray matter, and/or periven-tricular white matter, and some cases show specific imaging manifestations. When an appropriate clinical situation suggests exogenous or endogenous toxic effects, the associated imaging pattern usually indicates a restricted group of diagnostic possibilities. Nonetheless, toxic and metabolic brain disorders in the literature are usually approached in the literature by starting with common causal agents and then reaching imaging abnormalities, frequently mixing many different possible manifestations. Conversely, this article proposes a systematic approach to address this group of diseases based on the most important imaging patterns encountered in clinical practice. Each pattern is suggestive of a most likely differential diagnosis, which more closely resembles real-world scenarios faced by radiologists. Basic pathophysiologic concepts regarding cerebral edemas and their relation to imaging are introduced—an important topic for overall understanding. The most important imaging patterns are presented, and the main differential diagnosis for each pattern is discussed.

Original languageEnglish (US)
Pages (from-to)1672-1695
Number of pages24
JournalRadiographics
Volume39
Issue number6
DOIs
StatePublished - Oct 2019

PubMed: MeSH publication types

  • Journal Article

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