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510(k) Data Aggregation

    K Number
    K052198
    Manufacturer
    Date Cleared
    2005-08-31

    (19 days)

    Product Code
    Regulation Number
    874.4420
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    RELIEVA SINUS BALLOON INFLATION DEVICE

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Relieva Sinus Balloon Inflation Device is recommended for use to inflate the balloon, monitor the pressure within the balloon and deflate the balloon while performing balloon dilation procedures of the sinus ostia and spaces within the paranasal sinus cavities for diagnostic and therapeutic procedures.

    Device Description

    The Relieva Sinus Balloon Inflation Device is a disposable inflation device with a manometer that measures pressures ranging from vacuum to gauge capacity.

    AI/ML Overview

    The Relieva Sinus Balloon Inflation Device is a Class I manual surgical instrument for ear, nose, and throat procedures. Its intended use is to inflate, monitor pressure, and deflate balloons during dilation of sinus ostia and paranasal sinus cavities.

    Here is a summary of the acceptance criteria and study information:

    1. Table of Acceptance Criteria and Reported Device Performance

    TestAcceptance CriteriaReported Device Performance
    Pressure AccuracyNot explicitly stated, but implied to meet product specifications."conformance to product specification"
    Pressure DecayNot explicitly stated, but implied to meet product specifications."conformance to product specification"
    Predicate ComparisonDevice is substantially equivalent to marketed predicate devices with respect to intended use and technological characteristics.Deemed substantially equivalent to predicate devices (K043527, Pre-Amendments)
    Pressure IntegrityNot explicitly stated, but implied to meet product specifications."conformance to product specification"

    2. Sample Size Used for the Test Set and Data Provenance

    The document does not explicitly state the sample size for the test set or the data provenance (e.g., country of origin, retrospective or prospective). The testing focuses on conformance to product specifications for the device itself rather than clinical patient data.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications

    Not applicable. The ground truth for the device's technical specifications (pressure accuracy, decay, integrity) would be established through engineering and quality control standards, not by medical experts. The "predicate comparison" refers to regulatory comparison, not clinical expert consensus.

    4. Adjudication Method for the Test Set

    Not applicable. This type of device testing does not involve adjudication by experts as it is focused on technical specifications and substantial equivalence to predicate devices.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    No. This device is a manual surgical instrument, not an AI or imaging diagnostic tool that would typically undergo MRMC studies to evaluate human reader performance with or without AI assistance.

    6. Standalone (Algorithm Only) Performance Study

    Not applicable. This is a manual medical device, not an algorithm, so a standalone algorithm performance study is not relevant.

    7. Type of Ground Truth Used

    The ground truth used for this device's testing would be:

    • Engineering Specifications: For Pressure Accuracy, Pressure Decay, and Pressure Integrity, the ground truth would be defined by the device's design specifications and industry standards for pressure measurement and containment in medical devices.
    • Regulatory Substantial Equivalence: For the Predicate Comparison, the ground truth is established by the U.S. FDA's criteria for substantial equivalence to legally marketed predicate devices, which involves comparing intended use, technological characteristics, and safety and effectiveness.

    8. Sample Size for the Training Set

    Not applicable. This device is not an AI algorithm, so there is no concept of a "training set" in the context of machine learning. The "testing" described refers to quality control and design verification.

    9. How Ground Truth for the Training Set Was Established

    Not applicable, as there is no training set for this type of device.

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