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  4. Imaging blood-brain barrier dysfunction: A state-of-the-art review from a clinical perspective
 
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2023
Review
Title

Imaging blood-brain barrier dysfunction: A state-of-the-art review from a clinical perspective

Abstract
The blood-brain barrier (BBB) consists of specialized cells that tightly regulate the in- and outflow of molecules from the blood to brain parenchyma, protecting the brain’s microenvironment. If one of the BBB components starts to fail, its dysfunction can lead to a cascade of neuroinflammatory events leading to neuronal dysfunction and degeneration. Preliminary imaging findings suggest that BBB dysfunction could serve as an early diagnostic and prognostic biomarker for a number of neurological diseases. This review aims to provide clinicians with an overview of the emerging field of BBB imaging in humans by answering three key questions: (1. Disease) In which diseases could BBB imaging be useful? (2. Device) What are currently available imaging methods for evaluating BBB integrity? And (3. Distribution) what is the potential of BBB imaging in different environments, particularly in resource limited settings? We conclude that further advances are needed, such as the validation, standardization and implementation of readily available, low-cost and non-contrast BBB imaging techniques, for BBB imaging to be a useful clinical biomarker in both resource-limited and well-resourced settings.
Author(s)
Moyaert, Paulien
Padrela, Beatriz E.
Morgan, Catherine A.
Petr, Jan
Versijpt, Jan J.
Barkhof, Frederik
Jurkiewicz, Michael Todd
Shao, Xingfeng
Oyeniran, Olujide
Manson, Tabitha
Wang, Danny J.
Günther, Matthias  
Fraunhofer-Institut für Digitale Medizin MEVIS  
Achten, Eric
Mutsaerts, Henk Jmm
Anazodo, Udunna C.
Journal
Frontiers in aging neuroscience  
Open Access
DOI
10.3389/fnagi.2023.1132077
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
Keyword(s)
  • blood-brain barrier dysfunction

  • diagnostic imaging

  • magnetic resonance imaging

  • neurodegeneration

  • positron emission tomography

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