Magnetic Resonance Imaging Cerebrospinal Fluid Hydrodynamics in Patients with Meningitis

Devkant Lakhera1, Rajiv Kumar Azad1, Sheenam Azad2

  • 1Departments of Radiodiagnosis, Shri Guru Ram Rai Institute of Medical and Health Sciences, Dehradun, Uttarakhand, India.

Abstract

Insights

Phase-contrast MRI reveals altered cerebrospinal fluid (CSF) flow in meningitis patients. These CSF flow dynamics can help distinguish between viral and non-viral meningitis, guiding treatment decisions.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Meningitis, an inflammation of the membranes surrounding the brain and spinal cord, can cause significant cerebrospinal fluid (CSF) flow alterations.
  • Accurate differentiation of meningitis etiologies is crucial for appropriate clinical management.

Purpose of the Study:

  • To evaluate cerebrospinal fluid (CSF) flow dynamics in patients with meningitis using phase-contrast magnetic resonance imaging (PCMRI).
  • To assess the potential of PCMRI in differentiating between viral and non-viral meningitis.

Main Methods:

  • Cardiac-gated PCMRI was used to quantitatively analyze CSF flow at the cerebral aqueduct in 50 meningitis patients and 20 controls.
  • Patients were categorized into groups with and without hydrocephalus.
  • Velocity encoding (Venc) was standardized at 20 cm/s.

Main Results:

  • Meningitis patients exhibited altered mean peak CSF velocity and stroke volume compared to controls, with significant differences noted in patients without hydrocephalus.
  • CSF flow dynamics varied widely in meningitis, irrespective of ventricular dilatation.
  • PCMRI demonstrated 100% specificity and 22.7% sensitivity in differentiating viral from non-viral meningitis at a peak CSF velocity cutoff of 3.57 cm/s.

Conclusions:

  • PCMRI-derived CSF flow alterations can aid in segregating patients into viral and non-viral meningitis categories.
  • This imaging technique is particularly valuable when contrast agents are contraindicated.
  • Improved etiological differentiation can facilitate timely and appropriate clinical treatment initiation.

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