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Related Experiment Videos

Performance of computer assisted perimeters

E L Greve

    Documenta Ophthalmologica. Advances in Ophthalmology
    |December 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    Choosing the right computer-assisted perimeter (CAP) is challenging due to many options. This guide details evaluation criteria for CAPs, focusing on visual field examination strategies and statistical analysis for accurate defect assessment.

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    Area of Science:

    • Ophthalmology
    • Medical Technology
    • Visual Science

    Background:

    • The proliferation of computer-assisted perimeters (CAPs) necessitates clear evaluation criteria.
    • Manual perimetry and its limitations, particularly kinetic perimetry, are discussed.
    • Understanding visual field defect types is crucial for effective CAP evaluation.

    Purpose of the Study:

    • To provide a comprehensive guide for evaluating computer-assisted perimeters (CAPs).
    • To detail essential considerations for selecting CAPs for various clinical practices.
    • To elucidate the software strategies and data analysis capabilities of CAPs.

    Main Methods:

    • Detailed consideration of visual field examination phases: detection, limited, and extended assessment.
    • Explanation of threshold and suprathreshold testing techniques, favoring a threshold-related gradient-adapted suprathreshold strategy.

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  • Discussion of examination strategies, stimulus presentation, timing, and reliability measurements.

    • Main Results:

    • Emphasis on the importance of examination strategies as the core of CAP software.
    • Highlighting the utility of extended assessment for spatial and intensity defect distribution analysis.
    • Statistical analysis, including defect volume quantification and fluctuation monitoring, is presented as a key CAP feature.

    Conclusions:

    • Clinical evaluation, supported by hardware/software data, is the ultimate determinant of a CAP's usefulness.
    • Statistical analysis of repeated measurements enables accurate detection of significant visual field changes.
    • A proposed classification for glaucomatous visual field defects is included.