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[Cerebrospinal fluid and multiple sclerosis].

P Pilz

    Wiener Medizinische Wochenschrift (1946)
    |January 31, 1985
    PubMed
    Summary
    This summary is machine-generated.

    Diagnostic methods using cerebrospinal fluid (CSF) show over 90% positive results for multiple sclerosis (MS) by detecting inflammation or myelin breakdown. Lymphocyte transformation in CSF is a key indicator, particularly in definitive MS cases.

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    Area of Science:

    • Neurology
    • Immunology
    • Biochemistry

    Context:

    • Cerebrospinal fluid (CSF) analysis is crucial for diagnosing central nervous system (CNS) inflammatory diseases.
    • Multiple Sclerosis (MS) diagnosis relies on identifying inflammatory processes and myelin breakdown within the CNS.
    • Established diagnostic methods for MS using CSF yield positive results in over 90% of cases.

    Purpose:

    • To survey relevant diagnostic methods in cerebrospinal fluid for multiple sclerosis.
    • To evaluate the significance of lymphocytic transformation in CNS inflammatory diseases.
    • To correlate CSF findings with clinical diagnoses of MS and other inflammatory conditions.

    Summary:

    • Cerebrospinal fluid analysis for multiple sclerosis (MS) demonstrates high positive rates (>90%) for inflammatory CNS processes or myelin breakdown.

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  • Lymphocyte transformation in CSF is a relevant finding in CNS inflammatory diseases, observed in 73% of definitive MS cases.
  • In chronic progressive MS, transformed lymphocytes can occur in isolation (23% of cases).
  • In cases with transformed lymphocytes and low cell counts (<16/µl) in CSF, MS was clinically suspected in 70%, other inflammatory diseases in 20%, and 10% were unspecific.

    • Impact:

    • Highlights the diagnostic utility of CSF analysis, particularly lymphocyte transformation, in identifying MS.
    • Provides insights into the differential diagnosis of inflammatory CNS diseases based on CSF profiles.
    • Supports the clinical suspicion of MS and other inflammatory neurological conditions through specific CSF biomarkers.