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510(k) Data Aggregation

    K Number
    K982282
    Manufacturer
    Date Cleared
    1998-07-30

    (30 days)

    Product Code
    Regulation Number
    882.5910
    Reference & Predicate Devices
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    For use as a dural substitute for the closure of dura mater during neurosurgery.

    Device Description

    Dura-Guard is a dural repair patch manufactured from bovine pericardium cross-linked with glutaraldehyde.

    AI/ML Overview

    The provided text describes a 510(k) submission for a dural repair patch, Dura-Guard, and its substantial equivalence to a previously marketed device. However, it does not contain the information requested regarding acceptance criteria and a study proving the device meets those criteria in the context of an AI/medical device performance study with specific metrics like accuracy, sensitivity, specificity, etc.

    The document focuses on:

    • Device Description: Dura-Guard is a dural repair patch manufactured from bovine pericardium cross-linked with glutaraldehyde.
    • Technological Characteristics Comparison: The submission primarily compares a new version of Dura-Guard (treated with 1M NaOH) to an older version (not treated with 1M NaOH). The comparison is based on physical properties (shrink, suture, thickness), bioburden, sterility, pH, pyrogen, chemical residuals, biocompatibility, and animal testing.
    • Conclusion: The manufacturer believes the NaOH-treated product performs similarly to the non-NaOH-treated product and poses no additional safety or effectiveness concerns.
    • FDA Clearance: The FDA found the device substantially equivalent to pre-amendments devices.

    Therefore, I cannot populate the requested table and sections. The information needed to address your prompt (e.g., acceptance criteria for diagnostic performance, sample sizes for test/training sets, expert qualifications, adjudication methods, MRMC studies, standalone performance, types of ground truth for AI model evaluation) is not present in the provided text, as this is a traditional medical device submission, not an AI/ML-based diagnostic device.

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