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510(k) Data Aggregation

    K Number
    K210869
    Manufacturer
    Date Cleared
    2021-06-28

    (97 days)

    Product Code
    Regulation Number
    888.3020
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K130147

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

    The Phantom® Hindfoot TTC/TC Nail system is intended for tibiotalocalcaneal arthrodesis (fusion) and to provide stabilization of the hindfoot and ankle including the transverse tarsal joints coupling the mid-foot to the hindfoot. Examples of specific indications include:

    • Post-traumatic or degenerative arthritis
    • Previously infected arthrosis
    • Revision of failed ankle arthrodesis
    • Revision of failed total ankle arthroplasty
    • Talar deficiency conditions such as avascular necrosis of the talus (requiring tibiocalcaneal arthrodesis)
    • Neuromuscular deformity or other neuromuscular disease with severe deformity or instability of the ankle
    • Rheumatoid arthritis
    • Osteoarthritis
    • Nonunions or pseudarthrosis of hindfoot and distal tibia
    • Trauma (severe or malunited tibial pilon fracture)
    • Charcot foot (neuroarthropathy)
    • Severe end-stage degenerative arthritis
    • Instability and skeletal defects after tumor resection
    • Pantalar arthrodesis
    • Severe foot/ankle deformity
    Device Description

    The Paragon 28® Phantom® Hindfoot TTC/TC Nail System is comprised of intramedullary nails, screws and accessory components. The Phantom® nails are offered in a variety of sizes lengths, and configurations to accommodate variations in patient anatomy. The Phantom® screws insert through the intramedullary nail to secure the construct. These are offered in varying lengths to accommodate the anatomical fixation required.

    AI/ML Overview

    This FDA 510(k) summary describes the Paragon 28 Phantom® Hindfoot TTC/TC Nail System, a medical device for tibiotalocalcaneal arthrodesis. It does not present acceptance criteria or a study that proves the device meets specific performance criteria in the context of an AI/ML device.

    The provided text focuses on demonstrating substantial equivalence to a predicate device for regulatory clearance, not on validating the performance of an AI/ML algorithm.

    Therefore, I cannot provide the requested information for an AI/ML device based on this document. The document describes a traditional medical device (intramedullary nail system) and its mechanical and biocompatibility testing.

    Here's why the provided text does not contain the requested information about AI/ML device performance:

    • No mention of AI/ML: The document makes no reference to artificial intelligence, machine learning, algorithms, or any computational component that would require such performance evaluations.
    • Focus on mechanical and biological properties: The preclinical testing described (ASTM F1264 for static and dynamic mechanical testing, cadaveric implantation, biocompatibility per ISO 10993-1, bacterial endotoxins, and sterilization) are standard tests for orthopedic implants, not for software or AI/ML components.
    • "Substantial Equivalence" claim: The core of the 510(k) submission is to show that the new device is "substantially equivalent" to a legally marketed predicate device, meaning it has the same intended use and similar technological characteristics, and does not raise new questions of safety or effectiveness. This is a comparison to an existing device, not a performance validation against defined criteria for an AI/ML system.

    To answer your request, if this were an AI/ML device, the document would need to include information such as:

    • Performance metrics: Sensitivity, specificity, AUC, F1 score, accuracy, precision, etc.
    • Ground truth: How the true positive/negative cases were established (e.g., expert consensus, pathology, follow-up data).
    • Test set details: Size, characteristics, provenance (e.g., retrospective/prospective, patient demographics).
    • Expert qualifications: If human experts were involved in ground truth establishment or reading studies.
    • AI vs. human performance: If comparative studies were conducted.
    • Training set details: Size, ground truth establishment.

    Since the provided text is for a traditional orthopedic implant, none of the requested AI/ML specific information is present.

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