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510(k) Data Aggregation

    K Number
    K081196
    Manufacturer
    Date Cleared
    2008-10-16

    (171 days)

    Product Code
    Regulation Number
    888.3080
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Spinal USA Interbody Fusion Device is indicated for intervertebral body fusion of the spine in skeletally mature patients. The device system is designed for use with autograft to facilitate fusion. One device is used per intervertebral space for the ALIF and TLIF system. Two devices are used per intervertebral space for the PLIF system.

    The Spinal USA Interbody Fusion Device ALIF, PLIF, TLIF System are intended for use at either one level or two contiguous levels in the lumbar spine, from L2 to S1, for the treatment of degenerative disc disease (DDD) with up to Grade I spondylolisthesis. DDD is defined as back pain of discogenic origin with degeneration of the disc confirmed by history and radiographic studies. The lumbar device is to be used with supplemental fixation and autogenuos bone graft. Patients should have at least six months of non-operative treatment prior to treatment with a lumbar intervertebral fusion device.

    Device Description

    The Spinal USA Interbody Fusion Device consists of implants with various widths, heights and lengths to accommodate individual patient anatomy and graft material size. All components are manufactured from medical grade polyetheretherketone (Peek, LT1). The products are supplied clean and "NON-STERILE".

    AI/ML Overview

    The provided text does not contain information about acceptance criteria or a study proving the device meets them. Instead, it describes a 510(k) summary for an Intervertebral Body Fusion Device, focusing on its intended use, device description, and substantial equivalence to predicate devices. There is no mention of specific performance metrics, test sets, ground truth establishment, or clinical studies involving AI or human readers.

    Therefore, I cannot provide a table of acceptance criteria and reported device performance or answer the questions regarding sample size, expert qualifications, adjudication methods, MRMC studies, standalone performance, ground truth types, or training set details based on the provided document.

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