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510(k) Data Aggregation

    K Number
    K073426
    Date Cleared
    2008-02-19

    (76 days)

    Product Code
    Regulation Number
    888.3040
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    APERFIX INTERFERENCE SCREW 7-12 MM X 20 MM; 7-12 MM X 25 MM; 7-12 MM X 30 MM

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

    The AperFix™ Interference Screw is intended for use with bone-patellar tendon-bone (BPTB) grafts to provide fixation during arthroscopic or open ACL reconstruction procedures.

    Device Description

    The Cayenne Medical AperFix™ Interference Screw is intended for the bone-patellar tendonbone (BPTB) reconstruction of the anterior cruciate ligament (ACL). During an ACL reconstruction procedure, BPTB grafts are fixed to the femur and tibia utilizing the AperFix™ Interference Screw. BPTB grafts are typically harvested from the patient's ipsilateral leg, but cadaveric grafts are also acceptable. The AperFix™ Interference Screw is packaged STERILE. The AperFix™ Interference Screw provides interference fixation of the BPTB graft within the femoral and tibial tunnels.

    AI/ML Overview

    The provided document is a 510(k) Premarket Notification for the AperFix Interference Screw. It describes the device, its intended use, and its equivalence to marketed products. However, it does not contain information regarding studies to prove the device meets specific acceptance criteria in the format requested, particularly for an AI/ML device.

    The document states: "Mechanical testing was performed on the AperFix Interference Screw. It was shown that pullout strength is significantly higher than that of a predicate interference screw." This is the extent of performance data provided.

    Therefore, many of the requested fields cannot be populated from the provided text.

    Here's a response based on the available information:


    Based on the provided 510(k) Premarket Notification for the AperFix™ Interference Screw, the following information regarding acceptance criteria and performance studies can be extracted or deduced:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (Stated or Implied)Reported Device Performance
    Mechanical pullout strengthSignificantly higher pullout strength than a predicate interference screw.

    2. Sample size used for the test set and the data provenance

    • Sample Size: Not specified in the provided text.
    • Data Provenance: Not specified, but generally, mechanical testing for such devices is conducted in a laboratory setting. This is a physical device, not an AI/ML system, so concepts like "country of origin of data" in the AI/ML context are not directly applicable.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    Not applicable. This device is a mechanical implant, not an AI/ML diagnostic or predictive tool that requires expert-established ground truth from medical images or clinical data.

    4. Adjudication method for the test set

    Not applicable. This device is a mechanical implant. The "adjudication method" concept is typically relevant to subjective expert reviews for AI/ML performance.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done

    No. This type of study (MRMC for human readers with/without AI assistance) is specific to AI/ML diagnostic or screening devices and is not relevant for a mechanical implant.

    6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done

    Not applicable. The AperFix™ Interference Screw is a physical medical device (an implant), not an algorithm or software requiring standalone performance evaluation in the context of AI/ML.

    7. The type of ground truth used

    For mechanical testing, the "ground truth" would be the direct physical measurements of the device's properties (e.g., force required for pullout). There is no "expert consensus, pathology, or outcomes data" ground truth in the AI/ML sense.

    8. The sample size for the training set

    Not applicable. This is a physical device, not an AI/ML model that undergoes "training."

    9. How the ground truth for the training set was established

    Not applicable. As this is not an AI/ML model, there is no "training set" or establishment of ground truth for such a set.

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