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510(k) Data Aggregation

    K Number
    K132718
    Manufacturer
    Date Cleared
    2013-11-18

    (80 days)

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

    When used as a cervical intervertebral body fusion device, the Integrity Spine Core System is indicated for intervertebral body fusion in skeletally mature patients with degenerative disc disease (DDD) of the cervical spine with accompanying radicular symptoms at one disc level from the C2-C3 disc to the C7-T1 disc. DDD is defined as discogenic pain with degeneration of the disc confirmed by history and radiographic studies. The device system is designed for use with supplemental fixation and with autograft to facilitate fusion. Patients should have at least six (6) weeks of nonoperative treatment prior to treatment with an intervertebral cage.

    Device Description

    The Integrity Spine Core System is a cervical intervertebral body fusion system comprised of parallel and lordotic cages in two footprints with varying heights designed to accommodate patient anatomy, and may be implanted as a single device via an anterior approach.

    The Integrity Spine Core System implant components are made of polyether ether ketone (PEEK Zeniva ZA-500) that conforms to ASTM F2026. Additionally, the devices contain tantalum markers (ASTM F560) to assist the surgeon with proper placement of the device.

    The Integrity Spine Core System is implanted using a combination of device specific and universal class I instruments manufactured from stainless steel materials that conform to ASTM F899.

    AI/ML Overview

    The provided text describes a 510(k) Premarket Notification for the Integrity Spine Core System, an intervertebral body fusion device. The focus of this submission is to demonstrate substantial equivalence to previously cleared predicate devices through non-clinical mechanical testing, rather than a clinical study evaluating device performance in humans.

    Therefore, many of the requested items related to clinical study design, such as acceptance criteria based on human performance, sample size for test sets (in a clinical context), expert ground truth establishment for diagnostic performance, adjudication methods, multi-reader multi-case studies, and standalone algorithm performance, are not applicable to this 510(k) submission.

    This submission primarily relies on bench testing to show mechanical equivalence.

    Here's the information that can be extracted and a clear indication of what is not applicable:

    1. Table of acceptance criteria and the reported device performance

    Test TypeAcceptance Criteria (Implicit)Reported Device Performance
    Static and dynamic compression testing (ASTM F2077-11)Performance comparable to predicate devicesSubstantially equivalent results
    Static and dynamic torsion testing (ASTM F2077-11)Performance comparable to predicate devicesSubstantially equivalent results
    Subsidence testing (ASTM F2267-04)Performance comparable to predicate devicesSubstantially equivalent results
    Expulsion testing (ASTM Draft Standard F-04.25.02.02)Performance comparable to predicate devicesSubstantially equivalent results

    Explanation of Acceptance Criteria: The acceptance criteria for this 510(k) submission are implicitly defined as demonstrating "substantially equivalent results" in non-clinical mechanical testing compared to the identified predicate devices. This means the Integrity Spine Core System's mechanical performance in these standardized tests must fall within expected ranges relative to the predicates, indicating no new questions of safety or effectiveness are raised.

    2. Sample size used for the test set and the data provenance

    • Sample Size for Test Set: Not applicable in the context of human data. For the mechanical tests, the sample sizes would be determined by the ASTM standards (e.g., number of constructs tested for compression, torsion, subsidence, and expulsion). The document does not specify these exact numbers, but it states the tests were "conducted in accordance with" the respective ASTM standards.
    • Data Provenance: Not applicable as this submission is based on non-clinical (bench) testing, not human data. The tests were performed in a lab setting to assess the device's physical properties.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    • Not Applicable. Ground truth, in the sense of expert diagnosis or outcome labeling from human data, is not established for this type of non-clinical mechanical testing. The "ground truth" here is the adherence to mechanical performance standards and comparison to predicate devices.

    4. Adjudication method for the test set

    • Not Applicable. This is relevant for studies involving human data where there might be disagreements in interpretation (e.g., reading medical images). For mechanical testing, outcomes are typically measured objectively based on physical properties.

    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

    • Not Applicable. This device is an intervertebral body fusion device, not an AI-powered diagnostic tool. Therefore, MRMC studies and AI assistance are not relevant.

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

    • Not Applicable. This is a physical medical implant, not an algorithm or AI system.

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

    • Not Applicable / Bench Test Standards. The "ground truth" for this submission are the established ASTM standards for mechanical testing of spinal implants (F2077-11 for static and dynamic mechanical testing, F2267-04 for subsidence, and ASTM Draft Standard F-04.25.02.02 for expulsion) and the performance characteristics of the predicate devices. The aim is to demonstrate that the new device performs equivalently in these controlled mechanical environments.

    8. The sample size for the training set

    • Not Applicable. There is no "training set" in the context of this 510(k) submission for a physical implant device. This concept applies to machine learning algorithms.

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

    • Not Applicable. As there is no training set, there is no corresponding ground truth to establish.
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