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Brain atrophy and cerebral infarction.

S Takeda, T Matsuzawa, H Yamaura

    The Tohoku Journal of Experimental Medicine
    |December 1, 1984
    PubMed
    Summary
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    Brain atrophy index (BAI) is elevated in patients with cerebral infarction compared to healthy individuals. This indicator of brain atrophy shows significant differences across age groups and sexes in individuals with cerebral infarction.

    Area of Science:

    • Neurology
    • Radiology
    • Gerontology

    Background:

    • Cerebral infarction, commonly known as stroke, is a leading cause of disability.
    • Assessing brain atrophy is crucial for understanding neurological conditions.
    • Computerized tomography (CT) is a standard imaging technique for diagnosing cerebral infarction.

    Purpose of the Study:

    • To investigate the relationship between cerebral infarction and brain atrophy.
    • To establish the brain atrophy index (BAI) as a quantitative measure.
    • To compare BAI in patients with and without cerebral infarction across different age groups and sexes.

    Main Methods:

    • Subjects diagnosed with cerebral infarction via CT scan were recruited.
    • Cerebrospinal fluid (CSF) space volume and cranial cavity volume were measured using CT.

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  • Brain atrophy index (BAI) was calculated as the percentage of CSF space volume to cranial cavity volume.

    • Main Results:

    • The BAI did not significantly change in patients immediately after infarction compared to later stages.
    • Males with cerebral infarction showed significantly higher BAI in their fifties, sixties, and seventies compared to controls.
    • Females with cerebral infarction exhibited significantly higher BAI in their fifties, sixties, and eighties compared to controls.

    Conclusions:

    • The brain atrophy index (BAI) is a reliable indicator of brain atrophy in patients with cerebral infarction.
    • Cerebral infarction is associated with increased brain atrophy, particularly in older adults.
    • BAI measurements can aid in the differential diagnosis and understanding of cerebral infarction's impact on brain structure.