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510(k) Data Aggregation

    K Number
    K250544
    Manufacturer
    Date Cleared
    2025-05-23

    (87 days)

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

    Knotilus+ Biocomposite Knotless Anchor

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

    The Knotilus+ Biocomposite Knotless Anchor is intended to be used for soft-tissue to bone fixation in the shoulder, foot and ankle, knee, hand and wrist, elbow, and hip in skeletally mature pediatric and adult patients. It is indicated for use in the following procedures:

    2.4x11.3mm, 2.9x12.5mm, and 2.9x15.5mm:

    • Shoulder: Rotator Cuff Repair, Bankart Repair, SLAP Lesion Repair, Biceps Tenodesis, Acromio-Clavicular Separation Repair, Deltoid Repair, Capsular Shift, or Capsulolabral Reconstruction
    • Foot and Ankle: Lateral Stabilization, Medial Stabilization, Achilles Tendon Repair, Hallux Valgus Reconstruction, Midfoot Reconstruction, Metatarsal Ligament and Tendon Repair
    • Knee: Medial Collateral Ligament Repair, Lateral Collateral Ligament Repair, Patellar Tendon Repair, Posterior Oblique Ligament Repair, Iliotibial Band Tenodesis
    • Hand and Wrist: Scapholunate Ligament Reconstruction, Ulnar or Radial Collateral Ligament Reconstruction
    • Elbow: Biceps Tendon Reattachment, Ulnar or Radial Collateral Ligament Reconstruction, Lateral Epicondylitis Repair
    • Hip: Acetabular Labral Repair

    2.4x8.9mm:

    • Hip: Acetabular Labral Repair
    Device Description

    The Knotilus+ Biocomposite Knotless Anchors are hard-body, push-in, knotless bone anchors. The subject device is comprised of a poly-ether-ether-ketone (PEEK) eyelet and poly-L-lactide ("PLLA") and beta-tricalcium phosphate ("β-TCP") anchor body, pre-assembled onto a disposable stainless-steel inserter, which enables insertion of the anchor into bone after creation of a pilot hole. The devices are single use, provided sterile, and are packaged in sterile barrier systems (SBS).

    AI/ML Overview

    It appears there has been a misunderstanding. The FDA 510(k) clearance letter you provided is for a Knotilus+ Biocomposite Knotless Anchor, which is a medical device used for soft-tissue to bone fixation. This is a physical, implantable device, not a software or AI-driven diagnostic tool.

    The questions you've asked (about acceptance criteria, test set sample sizes, data provenance, expert ground truth, MRMC studies, standalone algorithm performance, training set details, etc.) are highly relevant to the validation of Artificial Intelligence (AI) or machine learning (ML) medical devices, particularly those performing image analysis or diagnostic functions.

    Since the provided document describes a physical bone anchor device, the concept of "acceptance criteria" and "study that proves the device meets the acceptance criteria" as they relate to AI/ML performance metrics (like sensitivity, specificity, AUC, etc., derived from test sets and human expert evaluations) does not apply.

    For a physical device like a bone anchor, "acceptance criteria" would typically relate to:

    • Mechanical properties: E.g., Ultimate Tensile Strength (UTS), pull-out strength, fatigue life, torsional strength.
    • Biocompatibility: Absence of adverse tissue reactions.
    • Sterility: Ensuring the device is free from microorganisms.
    • Dimensional accuracy: Conforming to design specifications.
    • Material properties: Chemical composition, degradation rates (for biocomposite materials).

    The document states that "Non-clinical benchtop testing was performed to evaluate the performance characteristics of the Knotilus+ Biocomposite Knotless Anchor, including ultimate tensile strength (UTS), UTS after Cyclic Loading, UTS after Degradation, and insertion testing." It also mentions "Bacterial endotoxin testing." These are the types of studies that prove this device meets its performance and safety acceptance criteria.

    Therefore, I cannot populate the table or answer the specific questions related to AI/ML device validation based on the provided document because it describes a different class of medical device.

    If you have a document related to an AI/ML medical device, please provide that, and I will be happy to answer your questions accordingly.

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