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Assessment of Blood-brain Barrier Permeability by Intravenous Infusion of FITC-labeled Albumin in a Mouse Model of Neurodegenerative Disease
Published on: November 8, 2017
Blood-brain barrier imaging in human neuropathologies
Ronel Veksler1, Ilan Shelef2, Alon Friedman3
1Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Assessing blood-brain barrier (BBB) integrity is crucial for understanding brain diseases. This review highlights minimally invasive imaging methods, focusing on dynamic contrast-enhanced MRI (DCE-MRI), to evaluate BBB function in clinical settings.
Area of Science:
- Neuroscience
- Medical Imaging
- Pathology
Background:
- The blood-brain barrier (BBB) is vital for brain health and function.
- BBB dysfunction is implicated in numerous brain pathologies, neurovascular dysfunction, and neurodegeneration.
- There is an urgent clinical need for minimally invasive methods to assess BBB integrity.
Purpose of the Study:
- To review current clinical imaging methods for assessing blood-brain barrier (BBB) integrity.
- To provide an overview of imaging modalities and analysis techniques for BBB assessment.
Main Methods:
- Focus on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as a key imaging modality.
- Review of quantitative and semi-quantitative image analysis methods for BBB assessment.
- Discussion of the advantages and limitations of various BBB imaging approaches.
Main Results:
- Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a primary method for BBB assessment.
- Various quantitative and semi-quantitative analysis techniques exist for evaluating BBB integrity.
- Each method presents unique advantages and limitations that need consideration.
Conclusions:
- Minimally invasive assessment of BBB integrity is essential for clinical practice.
- DCE-MRI and associated analysis methods offer valuable tools for evaluating BBB function in brain pathologies.
- Further research is needed to refine these methods and address existing challenges.
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