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Related Experiment Videos

Multiple sclerosis: gadolinium enhancement in MR imaging.

R I Grossman, F Gonzalez-Scarano, S W Atlas

    Radiology
    |December 1, 1986
    PubMed
    Summary

    Gadolinium-enhanced Magnetic Resonance Imaging (Gd-MRI) detects more multiple sclerosis (MS) lesions than high-iodine computed tomography (HICT). Gd-MRI is more sensitive for active MS lesions and blood-brain barrier abnormalities.

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    Area of Science:

    • Neurology
    • Radiology
    • Medical Imaging

    Background:

    • Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system.
    • Accurate detection of MS lesions is crucial for diagnosis and monitoring disease activity.
    • Conventional imaging techniques have limitations in fully characterizing MS lesions.

    Purpose of the Study:

    • To compare the sensitivity of gadolinium-enhanced Magnetic Resonance Imaging (Gd-MRI) with high-iodine computed tomography (HICT) in detecting lesions in patients with MS.
    • To evaluate the ability of Gd-MRI to identify active MS lesions and blood-brain barrier abnormalities.

    Main Methods:

    • 15 patients with known MS underwent both nonenhanced and Gd-enhanced MR imaging (T1-weighted, mixed, and T2-weighted sequences) and HICT scans.

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  • Lesion detection rates and enhancement patterns were compared between the imaging modalities.
  • Correlation with clinical symptoms of active disease was assessed.

    • Main Results:

    • Gd-enhanced T1-weighted MR imaging (T1WI) demonstrated more lesions than HICT, particularly in patients with active MS.
    • Gd-enhanced T1WI identified lesions corresponding to new clinical symptoms in nine patients with active disease.
    • HICT showed enhancement in only four of nine active MS patients, while Gd-MRI detected enhancement in three clinically stable patients.

    Conclusions:

    • Gd-enhanced MR imaging is more sensitive than HICT for detecting transient blood-brain barrier abnormalities in active MS.
    • Gd-MRI can distinguish active lesions that correlate with clinical findings, aiding in the assessment of disease activity.