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510(k) Data Aggregation

    K Number
    K083612
    Date Cleared
    2009-03-04

    (89 days)

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

    APERFIX FEMORAL IMPLANT WITH INSERTER, 9,10,11 MM X 35MM AND X 29MM

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

    The AperFix® Femoral Implant with Inserter is intended for use in tenodesis procedures with soft tissue grafts, utilizing cither arthroscopic or open techniques during Anterior Cruciate Ligament (ACL), Posterior Cruciate Ligament (PCL), Medial Collateral Ligament (MCL), Lateral Collateral Ligament (LCL), and Medial Patellofemoral Ligament (MPFL) reconstruction.

    Device Description

    The Cayenne Medical AperFix® Femoral Implant with Inserter is a non-absorbable internal fixation device intended to provide tendon to bone fixation in arthroscopic or open procedures such as Anterior Cruciate Ligament (ACL), Posterior Cruciate Ligament (PCL), Medial Collateral Ligament (MCL), Lateral Collatcral Ligament (LCL), and Medial Patellofemoral Ligament (MPFL) reconstruction. It includes a body, wedge, two deployable arms, and compression pads. AperFix Femoral Implants are available in diameters of 9, 10 and 11 mm with two different lengths of 29 mm and 35 mm. Each device is intended for single use and is pre-loaded on a sterile inserter.

    AI/ML Overview

    The AperFix® Femoral Implant with Inserter is a medical device and the provided text describes its 510(k) summary for FDA approval. For medical devices, "acceptance criteria" and "device performance" are typically related to regulatory requirements for safety and effectiveness, often demonstrated through bench testing and comparison to predicate devices, rather than clinical study metrics like sensitivity or specificity.

    Based on the provided text, here's a breakdown of the requested information:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance CriteriaReported Device Performance
    Material Properties/Design: Substantial equivalence in design principles to predicate devices.The device is found substantially equivalent in indications and design principles to predicate devices.
    Sterilization: Device must be sterile.Sterilization is accomplished by means of Co gamma irradiation at a dose of 25-40 kGy.
    Mechanical Strength: Adequate pull-out strength for its intended use in tenodesis procedures.Mechanical testing was performed on the AperFix Femoral Implant. It was shown that pull-out strength is significantly higher than that of a predicate device.
    Intended Use Compatibility: Suitable for use in tenodesis procedures with soft tissue grafts for ACL, PCL, MCL, LCL, and MPFL reconstruction.The device is intended for use in the specified tenodesis procedures.
    Biocompatibility: (Implied by equivalence to predicate devices, though not explicitly stated as a test in the excerpt).The device is found substantially equivalent to predicate devices, implying similar biocompatibility if the predicates are biocompatible.

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

    The provided text does not specify a sample size for a "test set" in the context of clinical trials or performance studies involving human subjects for device performance metrics like sensitivity/specificity. The performance data mentioned relates to mechanical testing.

    • Sample Size for Mechanical Testing: Not explicitly stated. The text only says "Mechanical testing was performed."
    • Data Provenance: The mechanical testing was conducted as part of the regulatory submission by Cayenne Medical, Inc. The exact location or nature (e.g., in-house lab, third-party lab) is not specified, but it would be considered retrospective in the context of generating data for a premarket submission. No country of origin for patients or images is relevant here as it's mechanical testing.

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

    This information is not applicable as the provided text describes a medical device (an implant), not an AI/imaging algorithm requiring expert interpretation of a "test set" for ground truth establishment. The "ground truth" for this device's performance would be the direct measurements from mechanical tests.

    4. Adjudication Method for the Test Set

    This information is not applicable for the same reason as point 3. Adjudication methods like 2+1 or 3+1 are used for resolving disagreements among human experts in diagnostic tasks, which is not relevant here.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done

    This information is not applicable. An MRMC study compares the performance of human readers, typically in diagnostic imaging, with and without the assistance of an AI tool. The AperFix® Femoral Implant is a physical implant, not a diagnostic AI tool, so this type of study would not be performed for its approval.

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

    This information is not applicable. This question refers to the performance of an algorithm in isolation, which is relevant for AI-powered diagnostic tools. The AperFix® Femoral Implant is a physical device that functions in-vivo as an implant.

    7. The Type of Ground Truth Used

    For the AperFix® Femoral Implant, the "ground truth" for its performance is established through:

    • Direct Mechanical Measurement: For attributes like pull-out strength.
    • Material Science Principles: For the properties of the implant materials.
    • Biological Equivalence: Implied by substantial equivalence to predicate devices which have established biocompatibility and clinical safety.

    8. The Sample Size for the Training Set

    This information is not applicable. "Training set" refers to data used to train an AI model. The AperFix® Femoral Implant is a physical medical device, not an AI model, and therefore does not have a "training set."

    9. How the Ground Truth for the Training Set was Established

    This information is not applicable for the same reason as point 8.

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