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Reliable Isolation of Central Nervous System Microvessels Across Five Vertebrate Groups
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Central Nervous System Vasculopathies.

Jennifer E Soun1, Jae W Song2, Javier M Romero3

  • 1Department of Radiological Sciences, University of California, Irvine, 101 The City Drive South, Orange, CA 92868, USA.

Radiologic Clinics of North America
|October 5, 2019
PubMed
Summary
This summary is machine-generated.

Diagnosing central nervous system (CNS) vasculopathies requires various imaging techniques to differentiate between inflammatory and noninflammatory causes. This review highlights key clinical and imaging findings for distinguishing these diverse CNS blood vessel disorders.

Keywords:
Brain imagingCentral nervous systemVasculitisVasculopathy

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Area of Science:

  • Neurology
  • Radiology
  • Vascular Medicine

Background:

  • Central nervous system (CNS) vasculopathies encompass a broad spectrum of disorders affecting cerebral blood vessels.
  • These conditions can be noninflammatory (e.g., CADASIL, moyamoya) or inflammatory (e.g., primary CNS vasculitis).
  • Accurate diagnosis is crucial for appropriate management and patient outcomes.

Purpose of the Study:

  • To review and synthesize the diagnostic roles of various imaging modalities in CNS vasculopathies.
  • To delineate key clinical and imaging features that differentiate between various noninflammatory and inflammatory etiologies.
  • To provide a comprehensive guide for clinicians and radiologists.

Main Methods:

  • Review of current literature on CNS vasculopathies and their imaging characteristics.
  • Analysis of diagnostic criteria and imaging findings for specific noninflammatory and inflammatory conditions.
  • Synthesis of clinical presentations associated with different vasculopathy subtypes.

Main Results:

  • Imaging techniques are essential for diagnosing CNS vasculopathies, distinguishing between inflammatory and noninflammatory types.
  • Specific imaging findings aid in identifying conditions like CADASIL, Susac syndrome, moyamoya disease, fibromuscular dysplasia, and reversible vasoconstriction syndrome.
  • Distinguishing primary CNS vasculitis from vasculitis secondary to systemic disease or other causes relies on integrated clinical and imaging data.

Conclusions:

  • A systematic approach integrating clinical information and advanced imaging is vital for accurate CNS vasculopathy diagnosis.
  • Understanding the distinct imaging signatures of various vasculopathies improves diagnostic accuracy and guides therapeutic strategies.
  • Further research may refine imaging biomarkers for earlier and more precise detection of CNS vasculopathies.