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510(k) Data Aggregation

    K Number
    K110660
    Manufacturer
    Date Cleared
    2011-03-31

    (24 days)

    Product Code
    Regulation Number
    888.3030
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ARTHREX BIOCOMPOSITE SUTURETAK

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

    The Arthrex BioComposite SutureTak is intended to be used for suture or tissue fixation in the foot, ankle, knee, hand, wrist, elbow, and shoulder. Specific indications are listed below and are size appropriate per patient needs:

    Elbow: Biceps Tendon Reattachment, Ulnar or Radial Collateral Ligament Reconstruction.
    Shoulder: Rotator Cuff Repairs, Bankart Repair, SLAP Lesion Repair, Biceps Tenodesis, Acromio-Clavicular Separation Repair, Deltoid Repair, Capsular Shift or Capsulolabral Reconstruction.
    Hand/Wrist: Scapholunate Ligament Reconstruction, Carpal Ligament Reconstruction, Repair/Reconstruction of Collateral Ligaments, Repair of Flexor and Extensor Tendons at the PIP, DIP and MCP joints for all digits, Digital Tendon Transfers.
    Foot/Ankle: Lateral Stabilization, Medial Stabilization, Achilles Tendon Repair, Metatarsal Ligament Repair, Hallux Valgus Reconstruction, Digital Tendon Transfers, Mid-foot reconstruction.
    Knee: Medial Collateral Ligament Repair, Lateral Collateral Ligament Repair, Patellar Tendon Repair, Posterior Oblique Ligament Repair, Iliotibial Band Tenodesis.

    Device Description

    The Arthrex BioComposite SutureTak is a 2.0mm biocomposite suture anchor with a molded-in suture eyelet. The anchor is loaded on a driver and pre-loaded polyester suture.

    AI/ML Overview

    The provided text describes a 510(k) submission for the Arthrex BioComposite SutureTak device. The study described focuses on demonstrating substantial equivalence to a predicate device through mechanical testing. It does not involve human readers, AI, or traditional clinical study methodologies for diagnostic accuracy.

    Here's the information based on the provided text:

    1. A table of acceptance criteria and the reported device performance

    Acceptance CriteriaReported Device Performance
    Ultimate load strength of the proposed devices after 16 weeks of degradation meets or exceeds the minimum acceptance criteria."The submitted mechanical testing data demonstrated that the ultimate load strength of the proposed devices after 16 weeks of degradation meets or exceeds the minimum acceptance criteria."

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    The document primarily describes mechanical testing. The text does not specify the sample size for the mechanical testing (e.g., how many anchors were tested) nor the provenance of this testing data (e.g., which lab conducted it). It is implied to be a prospective mechanical test conducted by the manufacturer.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    Not applicable. The study is a mechanical test of device performance, not a diagnostic accuracy study requiring expert human interpretation or ground truth establishment in a clinical context.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    Not applicable. No expert adjudication method was described as this was a mechanical test.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    No MRMC comparative effectiveness study was conducted. This device is a medical implant, and the study described focused on its mechanical properties for regulatory clearance, not on human-AI diagnostic performance.

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

    Not applicable. There is no algorithm or AI component to this device or study.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    The ground truth or evaluation metric was the "minimum acceptance criteria" for ultimate load strength after 16 weeks of degradation, which is a physical performance target derived from engineering and regulatory standards for medical implants, not clinical ground truth.

    8. The sample size for the training set

    Not applicable. There is no training set mentioned or implied for this mechanical validation study.

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

    Not applicable. There is no training set mentioned or implied for this mechanical validation study.

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